Center for Open Neuroscience/
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Michael Hanke/

Michael Hanke

Collaborator at the Center for Open Neuroscience. J.-Prof. at INM-7, Research Centre Jülich, Germany and University of Magdeburg. Official Debian developer. Lead of PyMVPA, NeuroDebian, DataLad projects.

Contributions

Projects

DataLad
NeuroDebian
PyMVPA
YODA's Organigram on Data Analysis

Publications

(Meta)Data and workflow management for your most important work and your daily routine
A Common, High-Dimensional Model of the Representational Space in Human Ventral Temporal Cortex
A communication hub for a decentralized collaboration on studying real-life cognition
A Model of Representational Spaces in Human Cortex
A reproducible and generalizable software workflow for analysis of large-scale neuroimaging data collections using BIDS Apps
Advancing Neuroimaging Research with Predictive Multivariate Pattern Analysis
Application of the Neuroimaging Data Model to Represent and Exchange Primary and Derived Data
Converging catalogues, warehouses, and deployment logistics into a federated 'data distribution'
Data sharing in neuroimaging research
DataLad – decentralized data distribution for consumption and sharing of scientific datasets
DataLad: distributed system for joint management of code, data, and their relationship
Debian Med: Integrated software environment for all medical purposes based on Debian GNU/Linux
Everything Matters: The ReproNim Perspective on Reproducible Neuroimaging
Fantastic containers and how to tame them
Four aspects to make science open "by design" and not as an after-thought
HeuDiConv — flexible DICOM conversion into structureddirectory layouts
How to make brain imaging research efficient and reproducible: building software and standards
Improving efficiency in cognitive neuroscience research with NeuroDebian
In defense of decentralized research data management
multimatch-gaze: The MultiMatch algorithm for gaze path comparison in Python
Neuroscience Runs on GNU/Linux
NIDM-Workflow - The Evolution of Provenance in Neuroimaging
Open is not enough. Let's take the next step: An integrated, community-driven computing platform for neuroscience
Pattern classification precedes region-average hemodynamic response in early visual cortex.
PyBIDS: Python tools for BIDS datasets
Pybids: Python tools for manipulation and analysis of BIDS datasets
PyMVPA: A Python toolbox for multivariate pattern analysis of fMRI data
PyMVPA: A Unifying Approach to the Analysis of Neuroscientific Data
Representation of biological classes in the human brain
Statistical learning analysis in neuroscience: aiming for transparency
The best of both worlds: using semantic web with JSON-LD. An example with NIDM-Results & DataLad
The Brain Imaging Data Structure (BIDS) Specification, Version 1.3.0
The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments
The Brain Imaging Data Structure: a standard for organizing and describing outputs of neuroimaging experiments
Toward standard practices for sharing computer code and programs in neuroscience
Towards standard practices for sharing computer code and programs in neuroscience
Transmodal Analysis of Neural Signals
YODA: YODA’s organigram on data analysis