ORCID: 0000-0001-6398-6370LinkedIn: mhankeGitHub: mihhttps://mas.to: @mihResearchGate: Michael-Hanke-4Debian: mih
The Brain Imaging Data Structure: a protocol for standardizing and describing outputs of neuroimaging experimentsMichael Hanke Orcid:0000-0003-3456-2493 Neuroimaging Research data management (RDM) Standards
The DataLad HandbookAdina Wagner Michael Hanke Stephan Heunis Michał Szczepanik Laura Waite Alex Waite Małgorzata Wierzba Christian Mönch Data management Education Free and open culture Distributed systems
The DataLad Handbook ProjectPromote open science through shared data and collaboration Build tools for reproducible, shareable science Adina Wagner Alex Waite Christian Mönch Laura Waite Małgorzata Wierzba Michael Hanke Michał Szczepanik Stephan Heunis
The effect of acquisition resolution on orientation decoding from V1 BOLD fMRI at 7 TeslaAyan Sengupta Orcid:0000-0001-5840-5658 Michael Hanke Neuroimaging Predictive data analysis
The effect of acquisition resolution on orientation decoding from V1: comparison of 3T and 7TAyan Sengupta Michael Hanke Orcid:0000-0001-5840-5658 Neuroimaging Predictive data analysis
The right temporo-parietal junction contributes to visual feature bindingOrcid:0000-0001-5840-5658 Michael Hanke Neuroimaging Predictive data analysis
The role of auxiliary parameters in evaluating voxel-wise encoding models for 3T and 7T BOLD fMRI dataMichael Hanke Moritz Boos Neuroimaging Predictive data analysis
Towards standard practices for sharing computer code and programs in neuroscienceMichael Hanke Orcid:0000-0003-3456-2493 Research software engineering (RSE) Standards
Transmodal Analysis of Neural SignalsOrcid:0000-0003-3456-2493 Michael Hanke Orcid:0000-0002-6558-3118 Neuroimaging Predictive data analysis
Ultra high-field multi-resolution fMRI data for orientation decoding in visual cortexMichael Hanke Orcid:0000-0001-5840-5658 Ayan Sengupta Neuroimaging Predictive data analysis
Wie die Bilder laufen lernten: Kognitive Prozesse bei der BewegungswahrnehmungMichael Hanke Cognitive science