Heterosynaptic plasticity rules induce small-world network topologies

James McAllister; John Wade; Cian O'Donnell

doi:10.5281/zenodo.13303384

Heterosynaptic plasticity rules induce small-world network topologies

James McAllister, John Wade, Cian O'Donnell

School of Computing, Eng & Intel. Sys

Research output: Contribution to conference › Poster › peer-review

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Abstract

Heterosynaptic plasticity is a form of ‘off-target’ synaptic plasticity where unstimulated synapses change strength. Here we propose that one purpose of heterosynaptic plasticity is to encourage small-world connectivity [6, 7]. We compare different plasticity rules in abstract weighted graphs, finding that they yield distinct network architectures.

Original language	English
DOIs	https://doi.org/10.5281/zenodo.13303384
Publication status	Published online - 12 Jun 2024
Event	International Conference of Mathematical Neuroscience - University College Dublin, Dublin Duration: 11 Jun 2024 → 14 Jun 2024

Conference

Conference	International Conference of Mathematical Neuroscience
City	Dublin
Period	11/06/24 → 14/06/24

Keywords

Small-world
Topology
Networks
Graph Theory
Synaptic plasticity
Heterosynaptic plasticity
Network structure
Dynamics

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10.5281/zenodo.13303384Licence: CC BY

ICMNS_2024_PosterAuthor Accepted Manuscript, 2.47 MB

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title = "Heterosynaptic plasticity rules induce small-world network topologies",

abstract = "Heterosynaptic plasticity is a form of {\textquoteleft}off-target{\textquoteright} synaptic plasticity where unstimulated synapses change strength. Here we propose that one purpose of heterosynaptic plasticity is to encourage small-world connectivity [6, 7]. We compare different plasticity rules in abstract weighted graphs, finding that they yield distinct network architectures.",

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AU - Wade, John

AU - O'Donnell, Cian

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N2 - Heterosynaptic plasticity is a form of ‘off-target’ synaptic plasticity where unstimulated synapses change strength. Here we propose that one purpose of heterosynaptic plasticity is to encourage small-world connectivity [6, 7]. We compare different plasticity rules in abstract weighted graphs, finding that they yield distinct network architectures.

AB - Heterosynaptic plasticity is a form of ‘off-target’ synaptic plasticity where unstimulated synapses change strength. Here we propose that one purpose of heterosynaptic plasticity is to encourage small-world connectivity [6, 7]. We compare different plasticity rules in abstract weighted graphs, finding that they yield distinct network architectures.

KW - Small-world

KW - Topology

KW - Networks

KW - Graph Theory

KW - Synaptic plasticity

KW - Heterosynaptic plasticity

KW - Network structure

KW - Dynamics

UR - https://pure.ulster.ac.uk/en/publications/f86f5066-de09-4274-b03e-d1e5ad657944

U2 - 10.5281/zenodo.13303384

DO - 10.5281/zenodo.13303384

M3 - Poster

T2 - International Conference of Mathematical Neuroscience

Y2 - 11 June 2024 through 14 June 2024

ER -

Heterosynaptic plasticity rules induce small-world network topologies

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