Integrator or coincidence detector --- what shapes the relation of stimulus synchrony and the operational mode of a neuron?
The operational mode of a neuron (i.e., whether a neuron is an integrator or a coincidence detector) is in part determined by the degree of synchrony in the firing of its pre-synaptic neural population. More specifically, it is determined by the degree of synchrony that causes the neuron to fire....
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
AIMS Press
2015-12-01
|
Series: | Mathematical Biosciences and Engineering |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2016005 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832590125913079808 |
---|---|
author | Achilleas Koutsou Jacob Kanev Maria Economidou Chris Christodoulou |
author_facet | Achilleas Koutsou Jacob Kanev Maria Economidou Chris Christodoulou |
author_sort | Achilleas Koutsou |
collection | DOAJ |
description | The operational mode of a neuron (i.e., whether a neuron is an integrator or a coincidence detector) is in part determined by the degree of synchrony in the firing of its pre-synaptic neural population. More specifically, it is determined by the degree of synchrony that causes the neuron to fire. In this paper, we investigate the relationship between the input and the operational mode. We compare the response-relevant input synchrony, which measures the operational mode and can be determined using a membrane potential slope-based measure [7], with the spike time distance of the spike trains driving the neuron, which measures spike train synchrony and can be determined using the multivariate SPIKE-distance metric [10]. We discover that the relationship between the two measures changes substantially based on the values of the parameters of the input (firing rate and number of spike trains) and the parameters of the post-synaptic neuron (synaptic weight, membrane leak time constant and spike threshold). More importantly, we determine how the parameters interact to shape the synchrony-operational mode relationship. Our results indicate that the amount of depolarisation caused by a highly synchronous volley of input spikes, is the most influential factor in defining the relationship between input synchrony and operational mode. This is defined by the number of input spikes and the membrane potential depolarisation caused per spike, compared to the spike threshold. |
format | Article |
id | doaj-art-7b39870d75a049bfae254d5c57077f96 |
institution | Kabale University |
issn | 1551-0018 |
language | English |
publishDate | 2015-12-01 |
publisher | AIMS Press |
record_format | Article |
series | Mathematical Biosciences and Engineering |
spelling | doaj-art-7b39870d75a049bfae254d5c57077f962025-01-24T02:35:23ZengAIMS PressMathematical Biosciences and Engineering1551-00182015-12-0113352153510.3934/mbe.2016005Integrator or coincidence detector --- what shapes the relation of stimulus synchrony and the operational mode of a neuron?Achilleas Koutsou0Jacob Kanev1Maria Economidou2Chris Christodoulou3Department of Computer Science, University of Cyprus, 1678 NicosiaDepartment of Electrical Engineering and Computer Science, Technische Universitat Berlin, 10587 BerlinDepartment of Computer Science, University of Cyprus, 1678 NicosiaDepartment of Computer Science, University of Cyprus, 1678 NicosiaThe operational mode of a neuron (i.e., whether a neuron is an integrator or a coincidence detector) is in part determined by the degree of synchrony in the firing of its pre-synaptic neural population. More specifically, it is determined by the degree of synchrony that causes the neuron to fire. In this paper, we investigate the relationship between the input and the operational mode. We compare the response-relevant input synchrony, which measures the operational mode and can be determined using a membrane potential slope-based measure [7], with the spike time distance of the spike trains driving the neuron, which measures spike train synchrony and can be determined using the multivariate SPIKE-distance metric [10]. We discover that the relationship between the two measures changes substantially based on the values of the parameters of the input (firing rate and number of spike trains) and the parameters of the post-synaptic neuron (synaptic weight, membrane leak time constant and spike threshold). More importantly, we determine how the parameters interact to shape the synchrony-operational mode relationship. Our results indicate that the amount of depolarisation caused by a highly synchronous volley of input spikes, is the most influential factor in defining the relationship between input synchrony and operational mode. This is defined by the number of input spikes and the membrane potential depolarisation caused per spike, compared to the spike threshold.https://www.aimspress.com/article/doi/10.3934/mbe.2016005operational modemembrane potential slopecoincidence detectiontemporal integration.spike distance metricsinput synchrony |
spellingShingle | Achilleas Koutsou Jacob Kanev Maria Economidou Chris Christodoulou Integrator or coincidence detector --- what shapes the relation of stimulus synchrony and the operational mode of a neuron? Mathematical Biosciences and Engineering operational mode membrane potential slope coincidence detection temporal integration. spike distance metrics input synchrony |
title | Integrator or coincidence detector --- what shapes the relation of stimulus synchrony and the operational mode of a neuron? |
title_full | Integrator or coincidence detector --- what shapes the relation of stimulus synchrony and the operational mode of a neuron? |
title_fullStr | Integrator or coincidence detector --- what shapes the relation of stimulus synchrony and the operational mode of a neuron? |
title_full_unstemmed | Integrator or coincidence detector --- what shapes the relation of stimulus synchrony and the operational mode of a neuron? |
title_short | Integrator or coincidence detector --- what shapes the relation of stimulus synchrony and the operational mode of a neuron? |
title_sort | integrator or coincidence detector what shapes the relation of stimulus synchrony and the operational mode of a neuron |
topic | operational mode membrane potential slope coincidence detection temporal integration. spike distance metrics input synchrony |
url | https://www.aimspress.com/article/doi/10.3934/mbe.2016005 |
work_keys_str_mv | AT achilleaskoutsou integratororcoincidencedetectorwhatshapestherelationofstimulussynchronyandtheoperationalmodeofaneuron AT jacobkanev integratororcoincidencedetectorwhatshapestherelationofstimulussynchronyandtheoperationalmodeofaneuron AT mariaeconomidou integratororcoincidencedetectorwhatshapestherelationofstimulussynchronyandtheoperationalmodeofaneuron AT chrischristodoulou integratororcoincidencedetectorwhatshapestherelationofstimulussynchronyandtheoperationalmodeofaneuron |