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The doubly balanced network of spiking neurons: a memory model with high
 

Summary: The doubly balanced network of spiking
neurons: a memory model with high
capacity
Yuval Aviel*
David Horn
Interdisciplinary Center for Neural Computation School of Physics
Hebrew University Tel Aviv University
Jerusalem, Israel 91904 Tel Aviv, Israel 69978
aviel@cc.huji.ac.il horn@post.tau.ac.il
Moshe Abeles
Interdisciplinary Center for Neural Computation
Hebrew University
Jerusalem, Israel 91904
abeles@vms.huji.ac.il
Abstract
A balanced network leads to contradictory constraints on memory
models, as exemplified in previous work on accommodation of
synfire chains. Here we show that these constraints can be
overcome by introducing a 'shadow' inhibitory pattern for each
excitatory pattern of the model. This is interpreted as a double-

  

Source: Aviel, Yuval - Interdisciplinary Center for Neural Computation, Hebrew University of Jerusalem

 

Collections: Computer Technologies and Information Sciences