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Enhancement of synchronization in a hybrid neural circuit by spike timing dependent plasticity

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posted on 2023-06-08, 08:35 authored by Thomas NowotnyThomas Nowotny, Valentin P Zhigulin, Allan I Selverston, Henry D I Abarbanel, Mikhail I Rabinovich
Synchronization of neural activity is fundamental for many functions of the brain. We demonstrate that spike-timing dependent plasticity (STDP) enhances synchronization (entrainment) in a hybrid circuit composed of a spike generator, a dynamic clamp emulating an excitatory plastic synapse, and a chemically isolated neuron from the Aplysia abdominal ganglion. Fixed-phase entrainment of the Aplysia neuron to the spike generator is possible for a much wider range of frequency ratios and is more precise and more robust with the plastic synapse than with a nonplastic synapse of comparable strength. Further analysis in a computational model of HodgkinHuxley-type neurons reveals the mechanism behind this significant enhancement in synchronization. The experimentally observed STDP plasticity curve appears to be designed to adjust synaptic strength to a value suitable for stable entrainment of the postsynaptic neuron. One functional role of STDP might therefore be to facilitate synchronization or entrainment of nonidentical neurons.

History

Publication status

  • Published

File Version

  • Published version

Journal

Journal of Neuroscience

ISSN

0270-6474

Publisher

Society for Neuroscience

Issue

30

Volume

23

Page range

9776-9785

Pages

10.0

Department affiliated with

  • Informatics Publications

Notes

Originality: Demonstrates the role of spike-timing dependent plasticity for synchronizing neural activity in a novel hybrid circuit experiment. The results are relevant for many questions, in particular regarding brain rhythms. Rigour: The work comprises hybrid systems experiments with a custom developed soft-real-time system and theoretical modeling work. Significance: The work has introduced a further application of dynamic clamp to the field by, for the first time, implementing plasticity of artificial synapses. The developed dynamic clamp software has since become one of the most popular dynamic clamp packages on the web according to a recent review (Prinz AA et al. (2004) Trends Neurosci 27(4):218-224). Impact: This article has received 10 citations according to Google Scholar.

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2012-02-06

First Open Access (FOA) Date

2016-03-22

First Compliant Deposit (FCD) Date

2016-11-10

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