Soft-bound synaptic plasticity increases storage capacity

Accurate models of synaptic plasticity are essential to understand the adaptive properties of the nervous system and for realistic models of learning and memory. Experiments have shown that synaptic plasticity depends not only on pre- and post-synaptic activity patterns, but also on the strength of...

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Main Authors: van Rossum, Mark C.W., Shippi, Maria, Barrett, Adam B.
Format: Article
Published: Public Library of Science 2012
Online Access:https://eprints.nottingham.ac.uk/49639/
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author van Rossum, Mark C.W.
Shippi, Maria
Barrett, Adam B.
author_facet van Rossum, Mark C.W.
Shippi, Maria
Barrett, Adam B.
author_sort van Rossum, Mark C.W.
building Nottingham Research Data Repository
collection Online Access
description Accurate models of synaptic plasticity are essential to understand the adaptive properties of the nervous system and for realistic models of learning and memory. Experiments have shown that synaptic plasticity depends not only on pre- and post-synaptic activity patterns, but also on the strength of the connection itself. Namely, weaker synapses are more easily strengthened than already strong ones. This so called soft-bound plasticity automatically constrains the synaptic strengths. It is known that this has important consequences for the dynamics of plasticity and the synaptic weight distribution, but its impact on information storage is unknown. In this modeling study we introduce an information theoretic framework to analyse memory storage in an online learning setting. We show that soft-bound plasticity increases a variety of performance criteria by about 18% over hard-bound plasticity, and likely maximizes the storage capacity of synapses.
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institution University of Nottingham Malaysia Campus
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publishDate 2012
publisher Public Library of Science
recordtype eprints
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spelling nottingham-496392020-05-04T16:34:57Z https://eprints.nottingham.ac.uk/49639/ Soft-bound synaptic plasticity increases storage capacity van Rossum, Mark C.W. Shippi, Maria Barrett, Adam B. Accurate models of synaptic plasticity are essential to understand the adaptive properties of the nervous system and for realistic models of learning and memory. Experiments have shown that synaptic plasticity depends not only on pre- and post-synaptic activity patterns, but also on the strength of the connection itself. Namely, weaker synapses are more easily strengthened than already strong ones. This so called soft-bound plasticity automatically constrains the synaptic strengths. It is known that this has important consequences for the dynamics of plasticity and the synaptic weight distribution, but its impact on information storage is unknown. In this modeling study we introduce an information theoretic framework to analyse memory storage in an online learning setting. We show that soft-bound plasticity increases a variety of performance criteria by about 18% over hard-bound plasticity, and likely maximizes the storage capacity of synapses. Public Library of Science 2012-12-20 Article PeerReviewed van Rossum, Mark C.W., Shippi, Maria and Barrett, Adam B. (2012) Soft-bound synaptic plasticity increases storage capacity. PLoS Computational Biology, 8 (12). e1002836/1-e1002836/11. ISSN 1553-7358 http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1002836 doi:10.1371/journal.pcbi.1002836 doi:10.1371/journal.pcbi.1002836
spellingShingle van Rossum, Mark C.W.
Shippi, Maria
Barrett, Adam B.
Soft-bound synaptic plasticity increases storage capacity
title Soft-bound synaptic plasticity increases storage capacity
title_full Soft-bound synaptic plasticity increases storage capacity
title_fullStr Soft-bound synaptic plasticity increases storage capacity
title_full_unstemmed Soft-bound synaptic plasticity increases storage capacity
title_short Soft-bound synaptic plasticity increases storage capacity
title_sort soft-bound synaptic plasticity increases storage capacity
url https://eprints.nottingham.ac.uk/49639/
https://eprints.nottingham.ac.uk/49639/
https://eprints.nottingham.ac.uk/49639/