TY  - INPR
A1  - Dwivedi, Kshitij
A1  - Bonner, Michael F.
A1  - Cichy, Radoslaw Martin
A1  - Roig Noguera, Gemma
T1  - Unveiling functions of the visual cortex using task-specific deep neural networks
T2  - bioRxiv
N2  - The human visual cortex enables visual perception through a cascade of hierarchical computations in cortical regions with distinct functionalities. Here, we introduce an AI-driven approach to discover the functional mapping of the visual cortex. We related human brain responses to scene images measured with functional MRI (fMRI) systematically to a diverse set of deep neural networks (DNNs) optimized to perform different scene perception tasks. We found a structured mapping between DNN tasks and brain regions along the ventral and dorsal visual streams. Low-level visual tasks mapped onto early brain regions, 3-dimensional scene perception tasks mapped onto the dorsal stream, and semantic tasks mapped onto the ventral stream. This mapping was of high fidelity, with more than 60% of the explainable variance in nine key regions being explained. Together, our results provide a novel functional mapping of the human visual cortex and demonstrate the power of the computational approach.
Y1  - 2021
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/72901
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-729017
IS  - 2020.11.27.401380
ER  -