Suratgar, Amir Abolfazl
Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran
[ 1 ] - Receptive Field Encoding Model for Dynamic Natural Vision
Introduction: Encoding models are used to predict human brain activity in response to sensory stimuli. The purpose of these models is to explain how sensory information represent in the brain. Convolutional neural networks trained by images are capable of encoding magnetic resonance imaging data of humans viewing natural images. Considering the hemodynamic response function, these networks are ...
نویسندگان همکار