Complex Properties of Training Stimuli Affect Brain Alignment in a Deep Network Model of Mouse Visual Cortex
Parsa Torabian, Yinghan Chen, Candace Ng, Ştefan Mihalaş, Michael A. Buice, Shahab Bakhtiari, Bryan Tripp
This study investigates how training data properties affect the alignment of deep neural networks with mouse visual cortex activity, finding that naturalistic environments significantly improve similarity.
bioRxiv · Oct 24, 2024 · PreprintNeuroscience