A deep learning framework for center-periphery visual processing in mouse visual cortex
Yuchen Hou, Marius Schneider, Joe Canzano, Jing Peng, Spencer Smith, Michael Beyeler · COSYNE 2025
Predicting neural activity in higher visual areas (HVAs) in mice during spatial navigation is challenging due to the complex interaction between spatial and temporal processing. One recent two-stream hypothesis for rodents proposed by Saleem (2020) suggests that form-based goals and detailed landmark signals are processed by cortical areas biased towards the central visual field, while self-motion signals are processed in the periphery. Inspired by this, we developed a deep learning model that splits visual input into two streams: a convolutional neural network (CNN) processed the central visu
ePoster · Neuroscience