Cargando…
Network Evolution Induced by Asynchronous Stimuli through Spike-Timing-Dependent Plasticity
In sensory neural system, external asynchronous stimuli play an important role in perceptual learning, associative memory and map development. However, the organization of structure and dynamics of neural networks induced by external asynchronous stimuli are not well understood. Spike-timing-depende...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3877323/ https://www.ncbi.nlm.nih.gov/pubmed/24391971 http://dx.doi.org/10.1371/journal.pone.0084644 |
_version_ | 1782297625257574400 |
---|---|
author | Yuan, Wu-Jie Zhou, Jian-Fang Zhou, Changsong |
author_facet | Yuan, Wu-Jie Zhou, Jian-Fang Zhou, Changsong |
author_sort | Yuan, Wu-Jie |
collection | PubMed |
description | In sensory neural system, external asynchronous stimuli play an important role in perceptual learning, associative memory and map development. However, the organization of structure and dynamics of neural networks induced by external asynchronous stimuli are not well understood. Spike-timing-dependent plasticity (STDP) is a typical synaptic plasticity that has been extensively found in the sensory systems and that has received much theoretical attention. This synaptic plasticity is highly sensitive to correlations between pre- and postsynaptic firings. Thus, STDP is expected to play an important role in response to external asynchronous stimuli, which can induce segregative pre- and postsynaptic firings. In this paper, we study the impact of external asynchronous stimuli on the organization of structure and dynamics of neural networks through STDP. We construct a two-dimensional spatial neural network model with local connectivity and sparseness, and use external currents to stimulate alternately on different spatial layers. The adopted external currents imposed alternately on spatial layers can be here regarded as external asynchronous stimuli. Through extensive numerical simulations, we focus on the effects of stimulus number and inter-stimulus timing on synaptic connecting weights and the property of propagation dynamics in the resulting network structure. Interestingly, the resulting feedforward structure induced by stimulus-dependent asynchronous firings and its propagation dynamics reflect both the underlying property of STDP. The results imply a possible important role of STDP in generating feedforward structure and collective propagation activity required for experience-dependent map plasticity in developing in vivo sensory pathways and cortices. The relevance of the results to cue-triggered recall of learned temporal sequences, an important cognitive function, is briefly discussed as well. Furthermore, this finding suggests a potential application for examining STDP by measuring neural population activity in a cultured neural network. |
format | Online Article Text |
id | pubmed-3877323 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-38773232014-01-03 Network Evolution Induced by Asynchronous Stimuli through Spike-Timing-Dependent Plasticity Yuan, Wu-Jie Zhou, Jian-Fang Zhou, Changsong PLoS One Research Article In sensory neural system, external asynchronous stimuli play an important role in perceptual learning, associative memory and map development. However, the organization of structure and dynamics of neural networks induced by external asynchronous stimuli are not well understood. Spike-timing-dependent plasticity (STDP) is a typical synaptic plasticity that has been extensively found in the sensory systems and that has received much theoretical attention. This synaptic plasticity is highly sensitive to correlations between pre- and postsynaptic firings. Thus, STDP is expected to play an important role in response to external asynchronous stimuli, which can induce segregative pre- and postsynaptic firings. In this paper, we study the impact of external asynchronous stimuli on the organization of structure and dynamics of neural networks through STDP. We construct a two-dimensional spatial neural network model with local connectivity and sparseness, and use external currents to stimulate alternately on different spatial layers. The adopted external currents imposed alternately on spatial layers can be here regarded as external asynchronous stimuli. Through extensive numerical simulations, we focus on the effects of stimulus number and inter-stimulus timing on synaptic connecting weights and the property of propagation dynamics in the resulting network structure. Interestingly, the resulting feedforward structure induced by stimulus-dependent asynchronous firings and its propagation dynamics reflect both the underlying property of STDP. The results imply a possible important role of STDP in generating feedforward structure and collective propagation activity required for experience-dependent map plasticity in developing in vivo sensory pathways and cortices. The relevance of the results to cue-triggered recall of learned temporal sequences, an important cognitive function, is briefly discussed as well. Furthermore, this finding suggests a potential application for examining STDP by measuring neural population activity in a cultured neural network. Public Library of Science 2013-12-31 /pmc/articles/PMC3877323/ /pubmed/24391971 http://dx.doi.org/10.1371/journal.pone.0084644 Text en © 2013 Yuan et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Yuan, Wu-Jie Zhou, Jian-Fang Zhou, Changsong Network Evolution Induced by Asynchronous Stimuli through Spike-Timing-Dependent Plasticity |
title | Network Evolution Induced by Asynchronous Stimuli through Spike-Timing-Dependent Plasticity |
title_full | Network Evolution Induced by Asynchronous Stimuli through Spike-Timing-Dependent Plasticity |
title_fullStr | Network Evolution Induced by Asynchronous Stimuli through Spike-Timing-Dependent Plasticity |
title_full_unstemmed | Network Evolution Induced by Asynchronous Stimuli through Spike-Timing-Dependent Plasticity |
title_short | Network Evolution Induced by Asynchronous Stimuli through Spike-Timing-Dependent Plasticity |
title_sort | network evolution induced by asynchronous stimuli through spike-timing-dependent plasticity |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3877323/ https://www.ncbi.nlm.nih.gov/pubmed/24391971 http://dx.doi.org/10.1371/journal.pone.0084644 |
work_keys_str_mv | AT yuanwujie networkevolutioninducedbyasynchronousstimulithroughspiketimingdependentplasticity AT zhoujianfang networkevolutioninducedbyasynchronousstimulithroughspiketimingdependentplasticity AT zhouchangsong networkevolutioninducedbyasynchronousstimulithroughspiketimingdependentplasticity |