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Results on a Binding Neuron Model and Their Implications for Modified Hourglass Model for Neuronal Network
The classical models of single neuron like Hodgkin-Huxley point neuron or leaky integrate and fire neuron assume the influence of postsynaptic potentials to last till the neuron fires. Vidybida (2008) in a refreshing departure has proposed models for binding neurons in which the trace of an input is...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3876776/ https://www.ncbi.nlm.nih.gov/pubmed/24396394 http://dx.doi.org/10.1155/2013/374878 |
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author | Arunachalam, Viswanathan Akhavan-Tabatabaei, Raha Lopez, Cristina |
author_facet | Arunachalam, Viswanathan Akhavan-Tabatabaei, Raha Lopez, Cristina |
author_sort | Arunachalam, Viswanathan |
collection | PubMed |
description | The classical models of single neuron like Hodgkin-Huxley point neuron or leaky integrate and fire neuron assume the influence of postsynaptic potentials to last till the neuron fires. Vidybida (2008) in a refreshing departure has proposed models for binding neurons in which the trace of an input is remembered only for a finite fixed period of time after which it is forgotten. The binding neurons conform to the behaviour of real neurons and are applicable in constructing fast recurrent networks for computer modeling. This paper develops explicitly several useful results for a binding neuron like the firing time distribution and other statistical characteristics. We also discuss the applicability of the developed results in constructing a modified hourglass network model in which there are interconnected neurons with excitatory as well as inhibitory inputs. Limited simulation results of the hourglass network are presented. |
format | Online Article Text |
id | pubmed-3876776 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-38767762014-01-06 Results on a Binding Neuron Model and Their Implications for Modified Hourglass Model for Neuronal Network Arunachalam, Viswanathan Akhavan-Tabatabaei, Raha Lopez, Cristina Comput Math Methods Med Research Article The classical models of single neuron like Hodgkin-Huxley point neuron or leaky integrate and fire neuron assume the influence of postsynaptic potentials to last till the neuron fires. Vidybida (2008) in a refreshing departure has proposed models for binding neurons in which the trace of an input is remembered only for a finite fixed period of time after which it is forgotten. The binding neurons conform to the behaviour of real neurons and are applicable in constructing fast recurrent networks for computer modeling. This paper develops explicitly several useful results for a binding neuron like the firing time distribution and other statistical characteristics. We also discuss the applicability of the developed results in constructing a modified hourglass network model in which there are interconnected neurons with excitatory as well as inhibitory inputs. Limited simulation results of the hourglass network are presented. Hindawi Publishing Corporation 2013 2013-12-16 /pmc/articles/PMC3876776/ /pubmed/24396394 http://dx.doi.org/10.1155/2013/374878 Text en Copyright © 2013 Viswanathan Arunachalam et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Arunachalam, Viswanathan Akhavan-Tabatabaei, Raha Lopez, Cristina Results on a Binding Neuron Model and Their Implications for Modified Hourglass Model for Neuronal Network |
title | Results on a Binding Neuron Model and Their Implications for Modified Hourglass Model for Neuronal Network |
title_full | Results on a Binding Neuron Model and Their Implications for Modified Hourglass Model for Neuronal Network |
title_fullStr | Results on a Binding Neuron Model and Their Implications for Modified Hourglass Model for Neuronal Network |
title_full_unstemmed | Results on a Binding Neuron Model and Their Implications for Modified Hourglass Model for Neuronal Network |
title_short | Results on a Binding Neuron Model and Their Implications for Modified Hourglass Model for Neuronal Network |
title_sort | results on a binding neuron model and their implications for modified hourglass model for neuronal network |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3876776/ https://www.ncbi.nlm.nih.gov/pubmed/24396394 http://dx.doi.org/10.1155/2013/374878 |
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