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A human brain number system model based on fMRI connectivity and deep-learning network
Ray F. Lee1
1Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, United States
The human brain’s number system can be decomposed to subitizing and counting subsystems based on the fMRI data, where subitizing and counting can be modeled by deep-learning networks CNN and RNN respectively.
The BOLD responses during brains' numbering process.
A deep-learning network model for brain's number system.