Associative memory model with spontaneous neural activity
Graduate School of Arts and Sciences, University of Tokyo - Komaba 3-8-1, Meguro-ku, Tokyo, Japan
Accepted: 20 April 2012
We propose a novel associative memory model wherein the neural activity without an input (i.e., spontaneous activity) is modified by an input to generate a target response that is memorized for recall upon the same input. Suitable design of synaptic connections enables the model to memorize input/output (I/O) mappings equaling 70% of the total number of neurons, where the evoked activity distinguishes a target pattern from others. Spontaneous neural activity without an input shows chaotic dynamics but keeps some similarity with evoked activities, as reported in recent experimental studies.
PACS: 87.18.Sn – Neural networks and synaptic communication
© EPLA, 2012