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Summary: Neuron
Article
Memory without Feedback in a Neural Network
Mark S. Goldman1,*
1Center for Neuroscience, Section of Neurobiology, Physiology, and Behavior, and Department of Ophthalmology and Visual Sciences,
University of California, Davis, Davis, CA 95618, USA
*Correspondence: msgoldman@ucdavis.edu
DOI 10.1016/j.neuron.2008.12.012
SUMMARY
Memory storage on short timescales is thought to be
maintained by neuronal activity that persists after the
remembered stimulus is removed. Although previous
work suggested that positive feedback is necessary
to maintain persistent activity, here it is demon-
strated how neuronal responses can instead be
maintained by a purely feedforward mechanism in
which activity is passed sequentially through a chain
of network states. This feedforward form of memory
storage is shown to occur both in architecturally
feedforward networks and in recurrent networks
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