Making Human Brain And Behavior Data Accessible For Modeling via Brain-Score
Category
Contribute
Institutions
EPFL
Data type
Neural and behavioral data
Field
Neuroscience
Researchers
Martin Schrimpf
Description
This project built on Brain-Score, a platform which curates a neural and behavioral measurements from non-human primate neuroscience experiments and facilitates its use in evaluating computational models of the brain’s visual system. Specifically, the aims were to contribute software to enable Brain-Score to work with human data; and to curate the Natural Scenes and THINGS-similarity datasets to make them accessible for reproducible model evaluations. We achieved our objectives of adapting Brain-Score to human data and curating both datasets for model evaluations. Our community is already utilizing these new functionalities via Brain-Score which is leading to interesting new science.