Understanding Auditory Cortex with Deep Neural Networks
Bilal Ahmed, Brian Malone, Joseph Makin · COSYNE 2023
Recent work [Yamins 2014, Bashivan 2019, Bao 2020] has shown that the initial responses of individual neurons in the ventral stream of visual cortex can be predicted with high accuracy by deep neural networks trained on challenging visual classification problems. Similar results have been obtained for voxels of auditory cortex with fMRI [Kell 2018]. But the relatively poor time resolution of fMRI precludes capturing temporal structure below about 1 Hz, which is known to be an important characteristic of auditory processing [Downer 2020]. Here we investigate the relationship between sequences o
Sat, Mar 11, 2023