17. Softbound synapses.pdf (544.31 kB)
Soft-bound synaptic plasticity increases storage capacity
journal contribution
posted on 2023-06-09, 00:39 authored by Mark C W van Rossum, Maria Shippi, Adam BarrettAdam BarrettAccurate 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.
Funding
Towards a next-generation computational neuroscience; G0305; EPSRC-ENGINEERING & PHYSICAL SCIENCES RESEARCH COUNCIL; EP/G007543/1
History
Publication status
- Published
File Version
- Published version
Journal
PLoS Computational BiologyISSN
1553-7358Publisher
Public Library of ScienceExternal DOI
Issue
12Volume
8Article number
e1002836Department affiliated with
- Informatics Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2016-03-23First Open Access (FOA) Date
2016-03-23First Compliant Deposit (FCD) Date
2016-03-23Usage metrics
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