[{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/persons/0b6a4df7-b978-4fe0-ac36-7351b399a6d7/","section":"People","summary":"","title":"0b6a4df7-B978-4fe0-Ac36-7351b399a6d7"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/persons/10847cce-cba3-415e-aa84-e681e9727697/","section":"People","summary":"","title":"10847cce-Cba3-415e-Aa84-E681e9727697"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/persons/6e723d2e-fce7-46ec-b01f-3357839a2646/","section":"People","summary":"","title":"6e723d2e-Fce7-46ec-B01f-3357839a2646"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/persons/70e6d595-a8f6-42a4-bdf0-1698e9a63ec9/","section":"People","summary":"","title":"70e6d595-A8f6-42a4-Bdf0-1698e9a63ec9"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/9e81065c-28e2-4218-ac0c-24b01c106179/","section":"Publications","summary":"","title":"A common, high-dimensional model of the representational space in human ventral temporal cortex"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/8cd76c6f-d34a-4125-a7d5-b74632b1046b/","section":"Publications","summary":"","title":"A communication hub for a decentralized collaboration on studying real-life cognition"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/f9a11f66-f71c-4dcb-964e-8a2954cef094/","section":"Publications","summary":"","title":"A high-resolution 7-Tesla fMRI dataset from complex natural stimulation with an audio movie"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/0e5bd333-db9c-41c4-b9bd-a4bbdab167b5/","section":"Publications","summary":"","title":"A Model of Representational Spaces in Human Cortex"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/3e67bc48-6ca2-472f-b007-31237865b33f/","section":"Publications","summary":"","title":"A practical guide to functional magnetic resonance imaging with simultaneous eye tracking for cognitive neuroimaging research"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/590c9f52-b078-421d-8106-086e2e51bb35/","section":"Publications","summary":"","title":"A Python-based Algorithm for Robust Event Detection for Eye Movements During Natural Viewing"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/a2c0e912-ae8e-48b4-aac5-d023afb4a048/","section":"Publications","summary":"","title":"A reproducible and generalizable software workflow for analysis of large-scale neuroimaging data collections using BIDS Apps"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/0cac730a-7fa1-429d-82ca-0a98ba32f156/","section":"Publications","summary":"","title":"A studyforrest extension, an annotation of spoken language in the German dubbed movie “Forrest Gump” and its audio-description"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/50f24bfa-4371-4f74-a57f-d62d71553ecb/","section":"Publications","summary":"","title":"A studyforrest extension, retinotopic mapping and localization of higher visual areas"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/06688308-2c40-49a6-88e3-ba7bfca73a1e/","section":"Publications","summary":"","title":"A studyforrest extension, simultaneous fMRI and eye gaze recordings during prolonged natural stimulation"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/persons/a7087531-9bed-4ad3-9a0a-f048510ade2e/","section":"People","summary":"","title":"A7087531-9bed-4ad3-9a0a-F048510ade2e"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/persons/abe084af-730c-4619-8c82-4fd72fda2655/","section":"People","summary":"","title":"Abe084af-730c-4619-8c82-4fd72fda2655"},{"content":"The ABCD-J platform provides an integrated collection and analysis environment for digital biomarkers \u0026amp; mobile health in North Rhine-Westphalia. The overarching goal of ABCD-J is to elevate existing technical solutions for research practice adoption. To this end, we develop interoperable technologies (JTrack, DataLad, and julearn) for data collection, data management and machine learning-based data analysis. From the social perspective, the ABCD-J project aims to promote and facilitate collaboration between multiple research centers, while from the technical perspective the project will accelerate research through homogenization of workflows and processes, with particular emphasis on digital biomarker development.\nPart of # Psychoinformatics Objectives # Self-hosted research IT infrastructure (Deliverable) Build tools for reproducible, shareable science (Deliverable) Promote open science through shared data and collaboration (Long-term goal) Integrate psychology with informatics (Long-term goal) People #Currently associated # Jenna Swarthout Goddard (Research team member) Stephan Heunis (Research team member) Adina Wagner (Research team member) Simon Eickhoff (Lead, Principal investigator (PI)) Michael Hanke (Principal investigator (PI)) Tosca Heunis (Research team member) Outputs # ABCD-J logo Case-e DataLad: Our Introduction, Your Usecases DataLad: An Introduction Open Research Software Infrastructure in Neuro-Medicine Data Management with DataLad ","date":null,"permalink":"https://www.psychoinformatics.de/projects/abcd-j/","section":"Projects","summary":"","title":"Accessing Behavior for Clinical Data and Joint Usage"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/persons/adina-wagner/","section":"People","summary":"","title":"Adina Wagner"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/8f4249c5-92c9-43aa-84c7-294aa464d6d2/","section":"Publications","summary":"","title":"Advancing Neuroimaging Research with Predictive Multivariate Pattern Analysis (MVPA)"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/42b8ce9d-795c-483a-a61a-d8ca8b7e606b/","section":"Publications","summary":"","title":"Advancing the understanding of brain function with multivariate pattern analysis"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/persons/alex-waite/","section":"People","summary":"","title":"Alex Waite"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/e7274698-f460-4a7b-8b07-01a5d54374bc/","section":"Publications","summary":"","title":"An analysis of Computer Science in OJAs with a dual-lingual ontology approach"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/7a8f5c76-b891-4d99-a460-de928523f093/","section":"Publications","summary":"","title":"An annotation of cuts, depicted locations, and temporal progression in the motion picture \"Forrest Gump\""},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/persons/ayan-sengupta/","section":"People","summary":"","title":"Ayan Sengupta"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/persons/benjamin-poldrack/","section":"People","summary":"","title":"Benjamin Poldrack"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/59b3c4a2-8ee5-4162-8d95-83a8338cd6f9/","section":"Publications","summary":"","title":"Best Practices in Data Analysis and Sharing in Neuroimaging using MRI"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/e3acf3af-3b8b-40ea-87dc-18d29446ced8/","section":"Publications","summary":"","title":"Brains on beats"},{"content":"The emphasis is on creating software, workflows, and infrastructure that make data processing, analysis, and sharing reliable and repeatable. By providing versioned datasets, pipelines, and tooling (for example for neuroimaging and behavioral measurements), the aim is to reduce technical barriers, minimize errors, and help researchers reproduce results and reuse resources across projects.\n","date":null,"permalink":"https://www.psychoinformatics.de/objectives/97ded4aa-108d-4b84-8195-d6076dce63ce/","section":"Objectives","summary":"","title":"Build tools for reproducible, shareable science"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/instruments/case-e/","section":"Instruments","summary":"","title":"Case-e"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/f5f330bb-f99c-4f82-adee-5713f093f7ee/","section":"Publications","summary":"","title":"Centering inclusivity in the design of online conferences—An OHBM–Open Science perspective"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/persons/christian-haeusler/","section":"People","summary":"","title":"Christian Häusler"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/persons/christian-moench/","section":"People","summary":"","title":"Christian Mönch"},{"content":"Part of\nResearch ","date":null,"permalink":"https://www.psychoinformatics.de/topics/2fd8abfc-231d-41e7-921d-16909e446144/","section":"Topics","summary":"","title":"Cognitive science"},{"content":"Part of:\nResearch ","date":null,"permalink":"https://www.psychoinformatics.de/topics/cognitive-science/","section":"Topics","summary":"","title":"Cognitive science"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/instruments/trr379_hub/","section":"Instruments","summary":"","title":"Collaboration Platform of the TRR379"},{"content":"This project will consolidate fragmented research-information workflows at INM-7 into a curated, FAIRer, interoperable knowledge base. Using a co-design approach with scientists, administrators, and RDM experts, we will adapt an open-source, domain-agnostic linked-data tool stack to capture funding opportunities, application intents, project deliverables, outputs, and associated documents via browser forms and APIs. Submitted records undergo curation and access control, enabling validated, machine-readable metadata and routine automated queries for reporting, reminders, and discovery. Integration with Helmholtz knowledge-graph efforts ensures semantic alignment. The outcome is a reusable, self-hostable system improving transparency, reducing duplication, and preserving institutional memory for funded research.\nPart of # Organized Research Information: Ontology-mapping, Curation, Orchestration Objectives # Build tools for reproducible, shareable science (Deliverable) Self-hosted research IT infrastructure (Deliverable) People #Currently associated # Stephan Heunis (Principal investigator (PI)) Anna Geiger (Research team member) Christian Mönch (Research team member) Adina Wagner (Research team member) Michał Szczepanik (Research team member) ","date":null,"permalink":"https://www.psychoinformatics.de/projects/crisp/","section":"Projects","summary":"","title":"Connected Research Information through Semantic Provenance"},{"content":" Mailing Address Forschungszentrum Jülich GmbH\nInstitut für Neurowissenschaften und Medizin (INM-7)\nProf. Dr. Michael Hanke\n52425 Jülich, Germany Lab Address Forschungszentrum Jülich\nWilhelm-Johnen-Straße\nBuilding 14.6y\n52428 Jülich +49 2461 61-96103\nLOL, no!\nm.hanke@fz-juelich.de ","date":null,"permalink":"https://www.psychoinformatics.de/contact/","section":"Psychoinformatics","summary":"","title":"Contact and location"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/4dee8e5d-b124-4e60-90e3-748ff8090c2b/","section":"Publications","summary":"","title":"Cross-cohort replicability and generalizability of connectivity-based psychometric prediction patterns"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/persons/daniel-kottke/","section":"People","summary":"","title":"Daniel Kottke"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/56d2708c-f5a4-42e8-b25b-bac91f0e1a95/","section":"Publications","summary":"","title":"Data + Code + Software = PDF How to write a reproducible research article"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/37413838-b11d-4448-a83a-f00e284c19e5/","section":"Publications","summary":"","title":"Data and reproducibility management with DataLad"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/2341c433-0628-40f0-856a-06fe4e2a9f8e/","section":"Publications","summary":"","title":"Data and Reproducibility Management with DataLad"},{"content":"Part of\n","date":null,"permalink":"https://www.psychoinformatics.de/topics/8e1feca6-9ca8-4b77-b26c-c8379d452e52/","section":"Topics","summary":"","title":"Data management"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/topics/data-management/","section":"Topics","summary":"","title":"Data management"},{"content":"This project will develop a decentralized data platform to provide long-term multi-site data access in an open science framework.\nPart of # Neuropsychobiology of Aggression: A Transdiagnostic Approach in Mental Disorders Psychoinformatics Objectives # Build tools for reproducible, shareable science (Deliverable) Integrate psychology with informatics (Long-term goal) Promote open science through shared data and collaboration (Deliverable) Self-hosted research IT infrastructure (Deliverable) People #Currently associated # Stephan Heunis (Researcher) Michael Hanke (Principal investigator (PI)) Outputs # Collaboration Platform of the TRR379 Knowledge Pooling Tool of the TRR379 Documentation of the TRR379 Main Website of the TRR379 ","date":null,"permalink":"https://www.psychoinformatics.de/projects/trr379_q02/","section":"Projects","summary":"","title":"Data Management for Computational Modelling"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/739a02ab-313d-48b1-8d8e-fdc35f0e2314/","section":"Publications","summary":"","title":"Data Management for Neuroimaging with DataLad"},{"content":"This project will provide expertise for access, description, and modelling of the data collected in the individual projects as well as Z02 and Z03. INF will continuously assess general workflows, resource requirements, and data analysis processes to capture between-project differences that may impact data comparability and re-usability across projects. INF will provide tools, services and training to help projects align their research output to (i) facilitate data analysis for extracting common activity patterns and mechanisms underlying motor behaviours across species, and (ii) promote data-driven computational modelling.\nPart of # Key Mechanisms of Motor Control in Health and Disease Objectives # Promote open science through shared data and collaboration (Long-term goal) Build tools for reproducible, shareable science (Long-term goal) People #Currently associated # Michał Szczepanik (Researcher) Michael Hanke (Principal investigator (PI)) Simon Eickhoff (Expert) Outputs # Teaching research data management with DataLad: a multi-year, multi-domain effort How to establish and maintain a multimodal animal research dataset using DataLad ","date":null,"permalink":"https://www.psychoinformatics.de/projects/sfb1451_inf/","section":"Projects","summary":"","title":"Data management for reproducible data-driven computational modeling cross-species and cross-labs"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/c5ca68cb-ba35-4df5-8788-d51beb266fd9/","section":"Publications","summary":"","title":"Data Management for reproducible science"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/d0e424e2-bc1e-4a84-bdc8-a1e75039bed2/","section":"Publications","summary":"","title":"Data Management with DataLad"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/65e8093f-259a-4aff-a2b2-b1010a4a0445/","section":"Publications","summary":"","title":"Data Management Workshop with DataLad"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/a38a3e42-7141-4e7e-90f8-caa6149d3059/","section":"Publications","summary":"","title":"Data sharing in neuroimaging research"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/instruments/datalad/","section":"Instruments","summary":"","title":"DataLad"},{"content":"Part of # Psychoinformatics Objectives # Promote open science through shared data and collaboration (Long-term goal) Build tools for reproducible, shareable science (Deliverable) People #Currently associated # Yaroslav Halchenko (Creator) Michael Hanke (Lead) Adina Wagner (Research team member) Christian Mönch (Research team member) Stephan Heunis (Research team member) Benjamin Poldrack (Research team member) Michał Szczepanik (Research team member) Alex Waite (Research team member) Outputs # datalad-remake datalad-catalog datalad-xnat datalad-container DataLad ","date":null,"permalink":"https://www.psychoinformatics.de/projects/datalad/","section":"Projects","summary":"","title":"DataLad"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/4d692cf1-2a19-406c-9066-e0c85de46e4a/","section":"Publications","summary":"","title":"Datalad — An Introduction to Research Data Management"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/c6d96776-4be0-43a5-862f-1cc6d8b16385/","section":"Publications","summary":"","title":"Datalad — An Introduction to Research Data Management"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/instruments/f92a09a8-1579-4e3a-a205-8459524ca802/","section":"Instruments","summary":"","title":"DataLad Concepts"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/instruments/7b23e72f-3fa5-4aad-b421-a3c1eaea9718/","section":"Instruments","summary":"","title":"DataLad Handbook"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/e5a9fe37-e438-4ebb-a777-aeeb2b2425fe/","section":"Publications","summary":"","title":"DataLad Overview at Cogbases 2025 Paris"},{"content":"Part of # DataLad Objectives # Build tools for reproducible, shareable science (Deliverable) Promote open science through shared data and collaboration (Long-term goal) People #Currently associated # Michael Hanke (Lead) Outputs # datalad-core datalad-next datasalad git-lad ","date":null,"permalink":"https://www.psychoinformatics.de/projects/datalad-v2/","section":"Projects","summary":"","title":"DataLad v2"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/62d15fe4-3f70-42ce-afbf-7849dc16d23a/","section":"Publications","summary":"","title":"DataLad workshop for IMPRS-MMFD in Tübingen 2024"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/instruments/64c502e7-d63e-4403-8cb9-b4c60f122b0d/","section":"Instruments","summary":"","title":"datalad-catalog"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/instruments/bb72fbdb-8d22-4756-a55f-313a7a6a9626/","section":"Instruments","summary":"","title":"datalad-container"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/instruments/8b75c829-479e-4bc4-8354-2fdf29a7d213/","section":"Instruments","summary":"","title":"datalad-core"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/instruments/datalad-next/","section":"Instruments","summary":"","title":"datalad-next"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/instruments/51b93f1f-b7aa-4422-8b36-1ec499bdde14/","section":"Instruments","summary":"","title":"datalad-remake"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/instruments/794b80ba-cae1-4fc1-b6d2-8b56c0ff4644/","section":"Instruments","summary":"","title":"datalad-xnat"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/9fa8db8b-d278-45bf-a449-2a7d56a9d47e/","section":"Publications","summary":"","title":"DataLad: An Introduction"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/496be9bd-b68f-4dbd-a9fb-53cf7e7b77bd/","section":"Publications","summary":"","title":"DataLad: Data Management for Open \u0026 Reproducible Science"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/7f75bf68-9f8f-4aa6-81b6-5d843666440c/","section":"Publications","summary":"","title":"DataLad: Decentralized management of digital objects for open science"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/59d214f8-29a8-4df6-a563-450e46d329cc/","section":"Publications","summary":"","title":"DataLad: distributed system for joint management of code, data, and their relationship"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/8194b25f-d731-4083-911d-c23b25be9504/","section":"Publications","summary":"","title":"DataLad: Our Introduction, Your Usecases"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/instruments/datasalad/","section":"Instruments","summary":"","title":"datasalad"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/c891e979-2fd4-48b3-8327-466aed21fdfb/","section":"Publications","summary":"","title":"Debian Med: Integrated software environment for all medical purposes based on Debian GNU/Linux"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/0f4abbf1-099b-48b2-a1a1-79438c188aef/","section":"Publications","summary":"","title":"Distractor-resistant short-term memory is supported by transient changes in neural stimulus representations"},{"content":"Distribits is a community for enthusiasts of tools and workflows in the domain of distributed data.\nPart of # Psychoinformatics Objectives # Promote open science through shared data and collaboration (Deliverable) Self-hosted research IT infrastructure (Deliverable) Build tools for reproducible, shareable science (Deliverable) People #Currently associated # Michael Hanke (Organizer) Adina Wagner (Organizer) Stephan Heunis (Organizer) Alex Waite (Organizer) Laura Waite (Organizer) Christian Mönch (Organizer) Michał Szczepanik (Organizer) Jenna Swarthout Goddard (Organizer) Yaroslav Halchenko (Organizer) ","date":null,"permalink":"https://www.psychoinformatics.de/projects/a605574d-ee49-4ad4-8348-599b632ed5eb/","section":"Projects","summary":"","title":"Distribits"},{"content":"This first distribits meeting took place in 2024 in Düsseldorf (Germany) at Haus der Universität. The aim of the meeting was to bring together enthusiasts of tools and workflows in the domain of distributed data. It was organized by the people behind the git-annex and DataLad projects. The event comprised a two-day conference and an additional hackathon day.\nPart of # Distribits People #Currently associated # Michael Hanke (Organizer) Adina Wagner (Organizer) Stephan Heunis (Organizer) Michał Szczepanik (Organizer) Christian Mönch (Organizer) Laura Waite (Organizer) Alex Waite (Organizer) ","date":null,"permalink":"https://www.psychoinformatics.de/projects/84f62566-abea-47fe-8bd8-994cb92a295c/","section":"Projects","summary":"","title":"Distribits 2024"},{"content":"The distribits 2025 meeting was the second of its kind. It, again, took place in Düsseldorf (Germany) at Haus der Universität. The conference was be live-streamed on the DataLad YouTube Channel for those who would like to rewatch the talks.\nPart of # Distribits People #Currently associated # Michael Hanke (Organizer) Jenna Swarthout Goddard (Organizer) Adina Wagner (Organizer) Michał Szczepanik (Organizer) Christian Mönch (Organizer) Stephan Heunis (Organizer) Alex Waite (Organizer) Laura Waite (Organizer) ","date":null,"permalink":"https://www.psychoinformatics.de/projects/e2a8b1eb-40b0-4763-9a34-ed864817f00e/","section":"Projects","summary":"","title":"Distribits 2025"},{"content":"Part of\n","date":null,"permalink":"https://www.psychoinformatics.de/topics/0ad19c54-15bd-46c9-b225-961139a1b46b/","section":"Topics","summary":"","title":"Distributed systems"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/topics/distributed-systems/","section":"Topics","summary":"","title":"Distributed systems"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/1e14ae9a-a54a-467a-8a27-e89da1c612b1/","section":"Publications","summary":"","title":"Documentation of the TRR379"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/instruments/dump-things/","section":"Instruments","summary":"","title":"Dump Things Service"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/instruments/35ca6b36-38a4-4caf-98bf-e696d4c7a319/","section":"Instruments","summary":"","title":"dump-things-pyclient"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/589eb76e-3aa3-428c-a3ed-30fe547bd042/","section":"Publications","summary":"","title":"Educating and Training for a FAIR future"},{"content":"Part of\n","date":null,"permalink":"https://www.psychoinformatics.de/topics/0e81a326-3a5c-4b46-9661-92664323ca1a/","section":"Topics","summary":"","title":"Education"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/topics/education/","section":"Topics","summary":"","title":"Education"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/persons/emanuele-porcu/","section":"People","summary":"","title":"Emanuele Porcu"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/e87a7122-9b1c-4ec8-9857-cbcebd79f80b/","section":"Publications","summary":"","title":"Encoding of auditory temporal Gestalt in the human brain."},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/e62958e2-a3ce-4a67-8059-97075812f712/","section":"Publications","summary":"","title":"ESMRMB annual meeting roundtable discussion: “Challenges and solutions in data sharing—an MRI perspective”"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/d2ed3524-c8a6-425d-ac00-769fdd54de02/","section":"Publications","summary":"","title":"Everything Matters: The ReproNim Perspective on Reproducible Neuroimaging"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/339d13d0-87a9-4924-b6c1-247b570d0dc9/","section":"Publications","summary":"","title":"Evidence for feature binding in the superior parietal lobule"},{"content":"Use the interactive network graph below to explore what the psychoinformatics project is about: what we do, why we do it, and how it all connects. Select a node to see its links. Click again to visit the respective page.\nThe network chart is automatically generated from public information in the psychoinformatics knowledge pool. In fact, this entire website it auto-generated daily by querying this source.\n","date":null,"permalink":"https://www.psychoinformatics.de/explore/","section":"Psychoinformatics","summary":"","title":"Explore the project"},{"content":"This project aims to advance understanding of how human gaze behavior organizes perception and guides cognition in complex, dynamic environments. The project focuses on developing principled methods to capture, characterize, and compare eye-movement patterns elicited by prolonged, naturalistic stimuli, with particular attention to robustly identifying meaningful events (saccades, fixations, pursuits) and quantifying temporal and spatial correspondences across observers and contexts. By prioritizing ecological validity, the work seeks to bridge laboratory paradigms and real-world visual behavior to reveal how attention and perceptual processing unfold over extended, natural stimulation.\nA central goal is to integrate gaze dynamics with concurrent neural and behavioral measures to elucidate the links between moment-to-moment eye movements and underlying brain activity and cognitive states. The project emphasizes reproducibility and methodological rigor: developing analysis approaches that tolerate noise and individual variability, establishing quantitative metrics for sequence similarity, and creating workflows that enable systematic benchmarking across datasets and experimental conditions. Ultimately, the research aims to provide scalable, comparable frameworks for investigating attention, perception, and individual differences in naturalistic settings.\nPart of # Study Forrest Objectives # Integrate psychology with informatics (Long-term goal) Probe brain function with naturalistic, high-dimensional studies (Long-term goal) Promote open science through shared data and collaboration (Deliverable) People #Currently associated # Michael Hanke (Creator, Lead) Asim Dar (Research assistant) Jörg Stadler (Contributor) Nico Adelhöfer (Research assistant) Daniel Kottke (Research assistant) Adina Wagner (Researcher) Outputs # A studyforrest extension, simultaneous fMRI and eye gaze recordings during prolonged natural stimulation A practical guide to functional magnetic resonance imaging with simultaneous eye tracking for cognitive neuroimaging research REMoDNaV: Robust Eye-Movement Classification for Dynamic Stimulation multimatch_gaze: The MultiMatch algorithm for gaze comparison in Python ","date":null,"permalink":"https://www.psychoinformatics.de/projects/14419ccc-b340-45ea-b0f4-bccc25c9e34d/","section":"Projects","summary":"","title":"Eye-movement during naturalistic stimulation"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/instruments/50fd4fb2-2e98-4beb-aa48-41dd26781fd9/","section":"Instruments","summary":"","title":"FAIRly big processing workflow"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/a2de1888-b547-4587-938c-ef9e7ecc8c67/","section":"Publications","summary":"","title":"FAIRly big: A framework for computationally reproducible processing of large-scale data"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/persons/falko-kaule/","section":"People","summary":"","title":"Falko Kaule"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/86d5576c-8707-4850-91b4-ae4829506383/","section":"Publications","summary":"","title":"Forschungsdatenmanagement in den systemischen Neurowissenschaften: Herausforderungen und Praxislösungen"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/b2f6fb79-0988-43ab-8787-35dcfa9e3fa2/","section":"Publications","summary":"","title":"Four aspects to make science open \"by design\" and not as an after-thought"},{"content":"Part of\n","date":null,"permalink":"https://www.psychoinformatics.de/topics/5a6a2de2-4e04-4a7e-acce-411aa826bbb2/","section":"Topics","summary":"","title":"Free and open culture"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/topics/free-and-open-culture/","section":"Topics","summary":"","title":"Free and open culture"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/instruments/54be0232-d05e-4941-bfba-70716cfd6b05/","section":"Instruments","summary":"","title":"Funding calendar scraping script"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/instruments/git-annex-wheel/","section":"Instruments","summary":"","title":"git-annex wheel"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/instruments/ef7e7d3f-31f3-444e-9efb-b1419e867f3e/","section":"Instruments","summary":"","title":"git-lad"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/c650d00f-816d-4b12-af63-9ce812c2c09c/","section":"Publications","summary":"","title":"HeuDiConv — flexible DICOM conversion into structured directory layouts"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/dc5d3f5f-0d0d-498c-84dd-cd4fba222bd4/","section":"Publications","summary":"","title":"High-resolution 7-Tesla fMRI data on the perception of musical genres – an extension to the studyforrest dataset"},{"content":"Part of\n","date":null,"permalink":"https://www.psychoinformatics.de/topics/e866857f-16e0-4a9c-b160-b68659eefd01/","section":"Topics","summary":"","title":"High-throughput computing"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/topics/high-throughput-computing/","section":"Topics","summary":"","title":"High-throughput computing"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/9103ab93-a2ae-45c2-b2b0-e922bbb4e94a/","section":"Publications","summary":"","title":"How to establish and maintain a multimodal animal research dataset using DataLad"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/19f0a9d1-a477-425b-a77c-55e7aa065bfc/","section":"Publications","summary":"","title":"In defense of decentralized research data management"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/8d618838-29d3-48d2-ba87-ca1cf0835b96/","section":"Publications","summary":"","title":"Individual face and house-related eye movement patterns distinctively activate FFA and PPA in the absence of faces and houses."},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/instruments/","section":"Instruments","summary":"","title":"Instruments"},{"content":"This objective focuses on combining theoretical and experimental approaches from psychology and neuroscience with computational methods from machine learning and informatics. Concretely, this can involve developing and applying algorithms, classifiers, and representational models to extract meaningful patterns from behavioral and neural data, enabling more powerful hypothesis testing, prediction, and interpretation of cognitive processes.\n","date":null,"permalink":"https://www.psychoinformatics.de/objectives/99a7e9fe-f8d8-46b8-aa97-44571b0eb3ba/","section":"Objectives","summary":"","title":"Integrate psychology with informatics"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/dc355ca9-3375-486c-801e-b478f7ac013d/","section":"Publications","summary":"","title":"Introduction to DataLad for andani"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/421e9534-e3d7-4d0a-b74b-f624eeaeb86b/","section":"Publications","summary":"","title":"Investigation of melodic contour processing in the brain using multivariate pattern-based fMRI"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/persons/jenna-swarthout-goddard/","section":"People","summary":"","title":"Jenna Swarthout Goddard"},{"content":"This project provides an integrated and comprehensive view of the neurobiological underpinnings of motor control and its disturbances. The primary objective is to investigate motor control at all critical levels from genes and molecules to large-scale networks and to infer general mechanisms of motor control, their changes over the life span and their disturbances beyond a single species or a specific pathology.\nPart of # Psychoinformatics People #Currently associated # Simon Eickhoff (Principal investigator (PI)) Michael Hanke (Principal investigator (PI)) Michał Szczepanik (Researcher) Outputs # SFB1451 logo ","date":null,"permalink":"https://www.psychoinformatics.de/projects/sfb1451/","section":"Projects","summary":"","title":"Key Mechanisms of Motor Control in Health and Disease"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/instruments/trr379_pool/","section":"Instruments","summary":"","title":"Knowledge Pooling Tool of the TRR379"},{"content":"This project aims to support the digital independence of research projects, laboratories, or individuals, by providing means to self-host digital services that direct support research processes or aid their coordination.\nArguably, Microsoft\u0026rsquo;s Excel isn\u0026rsquo;t the most widely used tool for research data storage and analysis because it is good, but rather because it so ubiquitous that a research can trust that it will be provided in any relevant context. At the same time, research institution struggle to support scientist with tools that more aligned with good scientific practices and ambitions like the FAIR principles.\nDigital independence means that researchers control their data formats, tools, and infrastructure so analyses remain reproducible, verifiable, and resilient to vendor lock‑in or platform changes; by keeping datasets, code, and metadata in open, well‑documented standards and under researchers’ governance, scientific findings can be reliably audited, reused, and extended over time—strengthening transparency, reducing hidden biases, and enabling robust cumulative progress.\nIn this project, we explore free and open-source software solutions regarding their utility in the facilitating day-to-day research activities, and aim to lower the threshold for adopting suitable solutions by making their self-hosting more feasible for individual and small groups of dedicated people.\nPart of # Psychoinformatics Objectives # Self-hosted research IT infrastructure (Deliverable) Outputs # Lab-in-a-box deployments ","date":null,"permalink":"https://www.psychoinformatics.de/projects/lab-in-a-box/","section":"Projects","summary":"","title":"Lab-in-a-box"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/instruments/ff94c3f9-ce37-43f0-b87c-5ee0f776d845/","section":"Instruments","summary":"","title":"Lab-in-a-box deployments"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/persons/laura-waite/","section":"People","summary":"","title":"Laura Waite"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/e2d68640-4f13-4706-afec-174b07f8a4f8/","section":"Publications","summary":"","title":"Learning about threat from friends and strangers is equally effective: An fMRI study on observational fear conditioning."},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/persons/leonardo-muller-rodriguez/","section":"People","summary":"","title":"Leonardo Muller-Rodriguez"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/7bbb3f5c-66ab-4818-8134-ed869d7e1a64/","section":"Publications","summary":"","title":"Lies, irony, and contradiction — an annotation of semantic conflict in the movie \"Forrest Gump\""},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/be1cccaa-2de2-4e0f-baa0-d2d201f43f47/","section":"Publications","summary":"","title":"Macroscopic information-based taste representations in insular cortex are shaped by stimulus concentration"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/fd7f3b66-e9f2-49ab-8a9f-3e3a9abc891a/","section":"Publications","summary":"","title":"Main Website of the TRR379"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/persons/malgorzata-wierzba/","section":"People","summary":"","title":"Małgorzata Wierzba"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/2b1783b9-efff-4e6a-9a55-18617e970f07/","section":"Publications","summary":"","title":"Manage your data with DataLad: From local version control to data publication"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/persons/manuel-bayer/","section":"People","summary":"","title":"Manuel Bayer"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/instruments/trr379_pool_editor/","section":"Instruments","summary":"","title":"Metadata Editor of the TRR379"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/persons/michael-burgardt/","section":"People","summary":"","title":"Michael Burgardt"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/persons/michael-hanke/","section":"People","summary":"","title":"Michael Hanke"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/persons/michael-notter/","section":"People","summary":"","title":"Michael Notter"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/persons/michal-szczepanik/","section":"People","summary":"","title":"Michał Szczepanik"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/persons/moritz-boos/","section":"People","summary":"","title":"Moritz Boos"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/4ee145a0-e000-4c8d-8696-dc7e64c684fe/","section":"Publications","summary":"","title":"multimatch_gaze: The MultiMatch algorithm for gaze comparison in Python"},{"content":"Part of\nNaturalistic neuroimaging\nNeuroimaging\n","date":null,"permalink":"https://www.psychoinformatics.de/topics/4735b42d-068c-4887-a106-7d643368fb21/","section":"Topics","summary":"","title":"Naturalistic neuroimaging"},{"content":"Part of:\nNaturalistic stimulation Neuroimaging ","date":null,"permalink":"https://www.psychoinformatics.de/topics/naturalistic-neuroimaging/","section":"Topics","summary":"","title":"Naturalistic neuroimaging"},{"content":"Part of\n","date":null,"permalink":"https://www.psychoinformatics.de/topics/800812bd-6494-4291-b2bb-945a378367fc/","section":"Topics","summary":"","title":"Naturalistic stimulation"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/topics/naturalistic-stimulation/","section":"Topics","summary":"","title":"Naturalistic stimulation"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/3d36ec1a-b677-429b-8485-d8047fea11a0/","section":"Publications","summary":"","title":"Nature abhors a paywall: How open science can realize the potential of naturalistic stimuli"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/757d8769-97a4-4f6b-bcc7-45b4d1360db2/","section":"Publications","summary":"","title":"Neural signatures underlying deliberation in human foraging decisions"},{"content":"Part of\n","date":null,"permalink":"https://www.psychoinformatics.de/topics/478b5c30-ce52-4532-9d0e-37e1078a5bcb/","section":"Topics","summary":"","title":"Neuroimaging"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/topics/neuroimaging/","section":"Topics","summary":"","title":"Neuroimaging"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/e64719cc-2064-4914-8fa4-e18224d55619/","section":"Publications","summary":"","title":"Neuroscience runs on GNU/Linux"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/2d7aabae-01e5-4268-a28d-79cd8804be9d/","section":"Publications","summary":"","title":"NFDI-Neuro: Building a community for neuroscience research data management in Germany"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/596baa90-ea06-46aa-8809-a2d06f85d6ff/","section":"Publications","summary":"","title":"No evidence for enhanced distractor template representation in early visual cortex"},{"content":"Across our activities, we pursue the following objectives. In some cases, they represent a drive towards immediate outcomes. In other cases, they are the underlying long-term motivation to develop into a particular direction.\n","date":null,"permalink":"https://www.psychoinformatics.de/objectives/","section":"Objectives","summary":"","title":"Objectives"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/persons/odelfa-songong/","section":"People","summary":"","title":"Odelfa Songong"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/7ff79006-70a1-4bf9-97f2-d5ae7a024da7/","section":"Publications","summary":"","title":"Open is not enough. Let’s take the next step: An integrated, community-driven computing platform for neuroscience"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/a858bc3e-fc02-4c08-89b6-7f716c236795/","section":"Publications","summary":"","title":"Open research software infrastructure in Neuro-Medicine"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/a87ab2c3-3c74-4ea5-8691-de743f3f7d34/","section":"Publications","summary":"","title":"Open Research Software Infrastructure in Neuro-Medicine"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/persons/orcid0000-0001-5840-5658/","section":"People","summary":"","title":"Orcid:0000-0001-5840-5658"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/persons/orcid0000-0002-6558-3118/","section":"People","summary":"","title":"Orcid:0000-0002-6558-3118"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/persons/orcid0000-0003-3456-2493/","section":"People","summary":"","title":"Orcid:0000-0003-3456-2493"},{"content":"Part of # Psychoinformatics Objectives # Self-hosted research IT infrastructure (Deliverable) Build tools for reproducible, shareable science (Deliverable) Promote open science through shared data and collaboration (Long-term goal) People #Currently associated # Michael Hanke (Creator) Stephan Heunis (Contributor) Outputs # dump-things-pyclient Funding calendar scraping script shacl-vue shacl-tulip Dump Things Service ","date":null,"permalink":"https://www.psychoinformatics.de/projects/orinoco/","section":"Projects","summary":"","title":"Organized Research Information: Ontology-mapping, Curation, Orchestration"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/b46c17cb-6471-4b21-947e-1e175ff66fb7/","section":"Publications","summary":"","title":"Pattern classification precedes region-average hemodynamic response in early visual cortex"},{"content":"The following persons currently have or previously had a relationship with the Psychoniformatics project.\n","date":null,"permalink":"https://www.psychoinformatics.de/persons/","section":"People","summary":"","title":"People"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/persons/pierre-ibe/","section":"People","summary":"","title":"Pierre Ibe"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/cfe671ce-314c-4d86-a306-92e2e593e6dd/","section":"Publications","summary":"","title":"Portrayed emotions in the movie \"Forrest Gump\""},{"content":"Part of\n","date":null,"permalink":"https://www.psychoinformatics.de/topics/1859ed10-fd08-4242-883f-c8b2a511a412/","section":"Topics","summary":"","title":"Predictive data analysis"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/topics/predictive-data-analysis/","section":"Topics","summary":"","title":"Predictive data analysis"},{"content":"Advocates studying cognition and perception using complex, ecologically valid stimuli and rich multivariate measurements rather than only simplified lab tasks. This can involve designing and analyzing high-dimensional experiments (e.g., continuous naturalistic stimulus paradigms, multimodal recordings) to capture more realistic neural representations and to improve generalizability of findings to real-world behavior.\n","date":null,"permalink":"https://www.psychoinformatics.de/objectives/b6e7dfb2-3534-487e-bd8a-d2f58ec47e47/","section":"Objectives","summary":"","title":"Probe brain function with naturalistic, high-dimensional studies"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/fc5d60eb-7f01-4fe6-80fa-7ff404c236f3/","section":"Publications","summary":"","title":"Proceedings of the OHBM Brainhack 2021"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/15a94498-814e-4314-9ff7-b032a94d1f8c/","section":"Publications","summary":"","title":"Proceedings of the OHBM Brainhack 2022"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/c456d465-8f51-41e8-b5c5-a03a46bde8a3/","section":"Publications","summary":"","title":"Processing of visual and non-visual naturalistic spatial information in the \"parahippocampal place area\""},{"content":"Here are current or past Psychoinformatics projects.\n","date":null,"permalink":"https://www.psychoinformatics.de/projects/","section":"Projects","summary":"","title":"Projects"},{"content":"Releases data, code, and documentation and fosters cross-site collaborations to accelerate scientific progress. By making resources public and encouraging standardized practices, they increase transparency, enable secondary analyses, and support large-scale studies that combine datasets to address questions requiring greater statistical power or diverse populations.\n","date":null,"permalink":"https://www.psychoinformatics.de/objectives/87be5fa3-80fb-4221-8406-2ddd40fb1fd1/","section":"Objectives","summary":"","title":"Promote open science through shared data and collaboration"},{"content":"Part of\n","date":null,"permalink":"https://www.psychoinformatics.de/topics/fe5faa07-ebbe-44ab-8d73-6415803e206e/","section":"Topics","summary":"","title":"Provenance"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/topics/provenance/","section":"Topics","summary":"","title":"Provenance"},{"content":"We develop open, reproducible tools and datasets to advance computational neuroscience and psychological research. Our projects create and maintain software for distributed data-versioning and provenance, stable neuroimaging platforms, and analysis/data-format libraries, while also curating large, shareable naturalistic neuroimaging and behavioral datasets. We prioritize FAIR principles, provenance capture, and decentralized research-data management.\nOur goal is to make complex neuroimaging and behavioral data easier to discover, access, reproduce, and reuse across labs by integrating data, code, and workflows. Through tool development, open data releases, and methodological research, we aim to improve replicability in cognitive and brain sciences and to lower the technical barriers for collaborative, large-scale computational studies.\nObjectives # Self-hosted research IT infrastructure (Long-term goal) Promote open science through shared data and collaboration (Long-term goal) Build tools for reproducible, shareable science (Long-term goal) Probe brain function with naturalistic, high-dimensional studies (Long-term goal) Integrate psychology with informatics (Long-term goal) People #Currently associated # Laura Waite (Research team member) Michael Hanke (Lead)\nFull-time informagician, real-life psychologist, Debian developer, Pythonero, open science and free software proponent. Jenna Swarthout Goddard (Research team member) Benjamin Poldrack (Research team member) Małgorzata Wierzba (Research team member) Michał Szczepanik (Research team member) Venkatesh Hariharapura Shivashankar (Research team member) Adina Wagner (Research team member) Stephan Heunis (Research team member) Alex Waite (Information technology project manager) Christian Mönch (Research team member) Previously associated # Christian Häusler (Student, Research team member; until 2024-09-30) Tosca Heunis (Research team member; 2023-09-01 \u0026ndash; 2024-07-31) Leonardo Muller-Rodriguez (Intern; 2022-03-01 \u0026ndash; 2022-12-31) Odelfa Songong (Student; 2021-05-03 \u0026ndash; 2022-03-22) Michael Burgardt (Intern; 2021-10-04 \u0026ndash; 2021-12-20) Manuel Bayer (Student; until 2020-05) Emanuele Porcu (Research team member; until 2019-03) Ayan Sengupta (Research team member; until 2018) Falko Kaule (Research team member; 2014-07-01 \u0026ndash; 2017-12-31) Daniel Kottke (Research assistant; until 2016) Michael Notter (Student; until 2016) Pierre Ibe (Research assistant; until 2016) Moritz Boos (Student; 2015-05-01 \u0026ndash; 2015-07-30) Vittorio Iacovella (Student; until 2015-06) Richard Dinga (Student; until 2015) Sven Buchholz (Research team member; 2013-11-01 \u0026ndash; 2014-07-31) ","date":null,"permalink":"https://www.psychoinformatics.de/","section":"Psychoinformatics","summary":"","title":"Psychoinformatics"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/","section":"Publications","summary":"","title":"Publications"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/e304fb15-57a3-4550-87b5-79268bc251a4/","section":"Publications","summary":"","title":"PyBIDS: Python tools for BIDS datasets"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/6ab9f41d-bc91-47a1-97d7-44b52282d6b7/","section":"Publications","summary":"","title":"PyMVPA: A Python toolbox for multivariate pattern analysis of fMRI data"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/f15570ef-4b82-4fc7-9780-715b99cfa388/","section":"Publications","summary":"","title":"PyMVPA: a unifying approach to the analysis of neuroscientific data"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/d64a3468-434b-4f95-953f-533bb0942974/","section":"Publications","summary":"","title":"RDM for neuroimagers"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/instruments/03300e25-6c5f-40bd-9ed8-a12d8ec22817/","section":"Instruments","summary":"","title":"REMODNAV"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/4ea5c19f-d116-470f-a31c-dff14912c7b2/","section":"Publications","summary":"","title":"REMoDNaV: Robust Eye-Movement Classification for Dynamic Stimulation"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/81dfd027-e1e2-4af0-841f-5ccb6bcbeb9b/","section":"Publications","summary":"","title":"Representation of Biological Classes in the Human Brain"},{"content":"Part of\n","date":null,"permalink":"https://www.psychoinformatics.de/topics/4e96f640-6b81-4747-85dd-66bca1abd32c/","section":"Topics","summary":"","title":"Representational brain spaces"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/topics/representational-brain-spaces/","section":"Topics","summary":"","title":"Representational brain spaces"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/bde8a483-e87d-4425-b517-369322d049e7/","section":"Publications","summary":"","title":"Reproducibility in science - what it is and why to care, with examples from the DataLad world"},{"content":"Part of\n","date":null,"permalink":"https://www.psychoinformatics.de/topics/2874944c-a1e6-470e-ae3e-a558d86b9392/","section":"Topics","summary":"","title":"Research"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/topics/research/","section":"Topics","summary":"","title":"Research"},{"content":"Part of\nResearch ","date":null,"permalink":"https://www.psychoinformatics.de/topics/51a5f872-89db-42df-9a6e-16e7e790892e/","section":"Topics","summary":"","title":"Research data"},{"content":"Part of:\nResearch ","date":null,"permalink":"https://www.psychoinformatics.de/topics/research-data/","section":"Topics","summary":"","title":"Research data"},{"content":"Part of\nResearch\nData management\n","date":null,"permalink":"https://www.psychoinformatics.de/topics/5a82ae5d-5e04-4d29-bf83-5d4b4f8e3538/","section":"Topics","summary":"","title":"Research data management (RDM)"},{"content":"Part of:\nResearch Data management ","date":null,"permalink":"https://www.psychoinformatics.de/topics/research-data-management/","section":"Topics","summary":"","title":"Research data management (RDM)"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/c96801de-5f95-46be-98d4-98a5a9b8c609/","section":"Publications","summary":"","title":"Research Data Management and Data Sharing for Reproducible Research—Results of a Community Survey of the German National Research Data Infrastructure Initiative Neuroscience"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/3f35c4d3-168f-4ff4-9e74-05c6d0974914/","section":"Publications","summary":"","title":"Research Data Management with DataLad - Workshop for the Max Planck School of Cognition"},{"content":"Part of\nResearch ","date":null,"permalink":"https://www.psychoinformatics.de/topics/f566a9d5-fda5-47c5-9649-3b33ac57663a/","section":"Topics","summary":"","title":"Research methods"},{"content":"Part of:\nResearch ","date":null,"permalink":"https://www.psychoinformatics.de/topics/research-methods/","section":"Topics","summary":"","title":"Research methods"},{"content":"Part of\nResearch\nSoftware engineering\n","date":null,"permalink":"https://www.psychoinformatics.de/topics/2af7deaf-3762-4038-91c2-cd02921f3fc6/","section":"Topics","summary":"","title":"Research software engineering (RSE)"},{"content":"Part of:\nResearch Software engineering ","date":null,"permalink":"https://www.psychoinformatics.de/topics/research-software-engineering/","section":"Topics","summary":"","title":"Research software engineering (RSE)"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/persons/reshanne-reeder/","section":"People","summary":"","title":"Reshanne-Reeder"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/064e5ccb-fc55-4266-9cc5-cb62d3dd410d/","section":"Publications","summary":"","title":"Retinotopic activation in response to subjective contours in primary visual cortex"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/persons/richard-dinga/","section":"People","summary":"","title":"Richard Dinga"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/objectives/self-hosted-it/","section":"Objectives","summary":"","title":"Self-hosted research IT infrastructure"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/instruments/b99d514b-b86a-4e4a-933a-1724132bf486/","section":"Instruments","summary":"","title":"shacl-tulip"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/instruments/b8dc8b0a-4408-46f4-9f47-c1d3ae747fac/","section":"Instruments","summary":"","title":"shacl-vue"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/persons/simon-eickhoff/","section":"People","summary":"","title":"Simon-Eickhoff"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/c6aa11d9-caf4-48db-8f7c-27d511ae9e67/","section":"Publications","summary":"","title":"Software Competence, Self-Sufficiency, and Sovereignty through Open Science"},{"content":"Part of\n","date":null,"permalink":"https://www.psychoinformatics.de/topics/d50e33da-2a86-4759-9c7f-4f4ff0281ceb/","section":"Topics","summary":"","title":"Software engineering"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/topics/software-engineering/","section":"Topics","summary":"","title":"Software engineering"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/fd921cee-1ee2-4194-85f4-6ae0227bd6fb/","section":"Publications","summary":"","title":"Spatial band-pass filtering aids decoding musical genres from auditory cortex 7T fMRI."},{"content":"Part of\n","date":null,"permalink":"https://www.psychoinformatics.de/topics/e27cdacf-e5ad-4862-9c2b-a9588638e201/","section":"Topics","summary":"","title":"Standards"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/topics/standards/","section":"Topics","summary":"","title":"Standards"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/3ee38a6f-7fa0-4847-b486-288fd171cc5e/","section":"Publications","summary":"","title":"Standards for Best Practices in Data Analysis and Sharing in Neuroimaging using MRI"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/a050d2d2-bbe8-4fe1-baff-f6d53e5642f0/","section":"Publications","summary":"","title":"Statistical learning analysis in neuroscience: aiming for transparency"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/persons/stephan-heunis/","section":"People","summary":"","title":"Stephan Heunis"},{"content":"StudyForrest is a long-term, open neuroscience project that provides richly annotated neuroimaging and behavioral data collected while participants experienced naturalistic stimuli—most famously the full-length film “Forrest Gump.” The project’s goal is to enable reproducible research on how the human brain processes complex, real-world sensory input (audio, visual, narrative) by offering multimodal datasets: functional MRI (including retinotopy and natural vision runs), structural MRI, physiological recordings, eye-tracking, and detailed stimulus annotations (timing of scenes, audio transcripts, visual feature labels). Data are organized and shared in standard formats to ease reuse and comparison across labs.\nBeyond the original movie-viewing dataset, StudyForrest expanded to include tasks probing face perception, voice and language processing, and individual differences, plus high-quality metadata and code for stimulus presentation and analysis. Its emphasis on naturalistic paradigms and open data has made it a valuable resource for studying temporal dynamics, cross-modal integration, and models of brain activity driven by rich, ecologically valid stimuli, supporting efforts in machine-learning-based encoding/decoding and reproducible neuroscience.\nPart of # Psychoinformatics Objectives # Integrate psychology with informatics (Long-term goal) Probe brain function with naturalistic, high-dimensional studies (Deliverable) Promote open science through shared data and collaboration (Deliverable) People #Currently associated # Falko Kaule (Author, Data contributor, Research team member) Alex Waite (Designer) Ayan Sengupta (Author, Data contributor, Researcher) Michael Hanke (Creator) Outputs # A studyforrest extension, simultaneous fMRI and eye gaze recordings during prolonged natural stimulation A studyforrest extension, retinotopic mapping and localization of higher visual areas High-resolution 7-Tesla fMRI data on the perception of musical genres – an extension to the studyforrest dataset A high-resolution 7-Tesla fMRI dataset from complex natural stimulation with an audio movie ","date":null,"permalink":"https://www.psychoinformatics.de/projects/studyforrest/","section":"Projects","summary":"","title":"Study Forrest"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/persons/sven-buchholz/","section":"People","summary":"","title":"Sven Buchholz"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/tags/","section":"Tags","summary":"","title":"Tags"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/bfc4c1b2-f2ed-475f-9bce-e3a5cc101421/","section":"Publications","summary":"","title":"Talk: RDM with DataLad @ MRI Together"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/e6b31cf9-30e9-455e-b28d-f08af8617014/","section":"Publications","summary":"","title":"Talk: Reproducibility management in Neuroscience"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/4611b86b-e0dc-40f3-9eaa-ede2c047e7a1/","section":"Publications","summary":"","title":"Task relevance modulates the representation of features and feature dimensions in the target template"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/212e3bce-22fa-4cf6-bd1d-fedd33428d65/","section":"Publications","summary":"","title":"Teaching research data management with DataLad: a multi-year, multi-domain effort"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/00d0a237-1e0b-44b9-a236-dd0cf41566a3/","section":"Publications","summary":"","title":"The Brain Imaging Data Structure: a protocol for standardizing and describing outputs of neuroimaging experiments"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/787d9a99-90ef-4fa3-b42a-09c3cc48b658/","section":"Publications","summary":"","title":"The DataLad Handbook"},{"content":"A community-written resource on research data management with DataLad, publicly available at handbook.datalad.org.\nPart of # DataLad Objectives # Promote open science through shared data and collaboration (Long-term goal) Build tools for reproducible, shareable science (Deliverable) People #Currently associated # Michael Hanke (Lead) Adina Wagner (Lead) Laura Waite (Research team member) Małgorzata Wierzba (Contributor) Stephan Heunis (Contributor) Michał Szczepanik (Contributor) Christian Mönch (Contributor) Alex Waite (Contributor) Outputs # DataLad Handbook ","date":null,"permalink":"https://www.psychoinformatics.de/projects/18b8a19e-5e7b-425d-be04-f16c0cc15b01/","section":"Projects","summary":"","title":"The DataLad Handbook Project"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/4a42292a-ab19-447a-9ac8-57e5daf5614f/","section":"Publications","summary":"","title":"The effect of acquisition resolution on orientation decoding from V1 BOLD fMRI at 7 Tesla"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/7de16586-c19a-4334-b84c-33da571debf4/","section":"Publications","summary":"","title":"The effect of acquisition resolution on orientation decoding from V1: comparison of 3T and 7T"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/3ee366a1-99b6-4913-8c56-5de57d1ba56b/","section":"Publications","summary":"","title":"The effects of multi-echo fMRI combination and rapid T2*-mapping on offline and real-time BOLD sensitivity"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/6c58f6e3-1443-4e37-92db-f87a6f9830d8/","section":"Publications","summary":"","title":"The right temporo-parietal junction contributes to visual feature binding"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/15f6113f-8ef6-403c-9618-0b35dc436866/","section":"Publications","summary":"","title":"The role of auxiliary parameters in evaluating voxel-wise encoding models for 3T and 7T BOLD fMRI data"},{"content":"Domains and use cases related to the Psychoinformatics activities.\n","date":null,"permalink":"https://www.psychoinformatics.de/topics/","section":"Topics","summary":"","title":"Topics"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/persons/tosca-heunis/","section":"People","summary":"","title":"Tosca Heunis"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/cde72ffc-9086-4b83-85e7-0c05afb73394/","section":"Publications","summary":"","title":"Towards computational reproducibility when working with very large datasets"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/388e69f6-2cd3-4446-8bc6-4316018ee640/","section":"Publications","summary":"","title":"Towards standard practices for sharing computer code and programs in neuroscience"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/86c8f0a2-14c7-4bfe-b4b3-cd1125ce35f7/","section":"Publications","summary":"","title":"Transmodal Analysis of Neural Signals"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/046a581f-9715-4b00-880a-5027b37f0f6b/","section":"Publications","summary":"","title":"Ultra high-field multi-resolution fMRI data for orientation decoding in visual cortex"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/persons/venkatesh-hariharapura-shivashankar/","section":"People","summary":"","title":"Venkatesh Hariharapura Shivashankar"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/977f1da5-5c38-46f4-a3c3-6b23c5102096/","section":"Publications","summary":"","title":"Version control and RDM with DataLad"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/ce6400c7-51eb-4656-82ff-836ebef0c445/","section":"Publications","summary":"","title":"Version control for data and beyond"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/persons/vittorio-iacovella/","section":"People","summary":"","title":"Vittorio Iacovella"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/4538da47-6995-4a52-a399-e20e36c440bb/","section":"Publications","summary":"","title":"Was RDM von RSE lernen kann"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/63212c2d-7d2a-4415-80f0-b1c9dd6a0488/","section":"Publications","summary":"","title":"Wie die Bilder laufen lernten: Kognitive Prozesse bei der Bewegungswahrnehmung"},{"content":"","date":null,"permalink":"https://www.psychoinformatics.de/publications/5b97b3a3-25f7-453c-bc87-beabc2848c22/","section":"Publications","summary":"","title":"Wissenschaft Online: Thema Forschungsdatenmanagement"}]