Effects of Neuronal Noise on Neural Communication

Effects of Neuronal Noise on Neural Communication

In this work, we propose an approach to better understand the effects of neuronal noise on neural communication systems. Here, we extend the fundamental Hodgkin-Huxley (HH) model by adding synaptic couplings to represent the statistical dependencies among different neurons under the effect of additi...

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Main Authors: Deniz Gençağa, Sevgi Şengül Ayan
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Proceedings
Subjects:
transfer entropy
information theory
hodgkin-huxley model
Online Access:https://www.mdpi.com/2504-3900/33/1/2
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spelling doaj-610bec3449754fac8f85b0334cbefbce2020-11-24T21:55:19ZengMDPI AGProceedings2504-39002019-11-01331210.3390/proceedings2019033002proceedings2019033002Effects of Neuronal Noise on Neural CommunicationDeniz Gençağa0Sevgi Şengül Ayan1Department of Electrical and Electronics Engineering, Antalya Bilim University, Antalya 07190, TurkeyDepartment of Industrial Engineering, Antalya Bilim University, Antalya 07190, TurkeyIn this work, we propose an approach to better understand the effects of neuronal noise on neural communication systems. Here, we extend the fundamental Hodgkin-Huxley (HH) model by adding synaptic couplings to represent the statistical dependencies among different neurons under the effect of additional noise. We estimate directional information-theoretic quantities, such as the Transfer Entropy (TE), to infer the couplings between neurons under the effect of different noise levels. Based on our computational simulations, we demonstrate that these nonlinear systems can behave beyond our predictions and TE is an ideal tool to extract such dependencies from data.https://www.mdpi.com/2504-3900/33/1/2transfer entropyinformation theoryhodgkin-huxley model
collection DOAJ
language English
format Article
sources DOAJ
author Deniz Gençağa
Sevgi Şengül Ayan
spellingShingle Deniz Gençağa
Sevgi Şengül Ayan
Effects of Neuronal Noise on Neural Communication
Proceedings
transfer entropy
information theory
hodgkin-huxley model
author_facet Deniz Gençağa
Sevgi Şengül Ayan
author_sort Deniz Gençağa
title Effects of Neuronal Noise on Neural Communication
title_short Effects of Neuronal Noise on Neural Communication
title_full Effects of Neuronal Noise on Neural Communication
title_fullStr Effects of Neuronal Noise on Neural Communication
title_full_unstemmed Effects of Neuronal Noise on Neural Communication
title_sort effects of neuronal noise on neural communication
publisher MDPI AG
series Proceedings
issn 2504-3900
publishDate 2019-11-01
description In this work, we propose an approach to better understand the effects of neuronal noise on neural communication systems. Here, we extend the fundamental Hodgkin-Huxley (HH) model by adding synaptic couplings to represent the statistical dependencies among different neurons under the effect of additional noise. We estimate directional information-theoretic quantities, such as the Transfer Entropy (TE), to infer the couplings between neurons under the effect of different noise levels. Based on our computational simulations, we demonstrate that these nonlinear systems can behave beyond our predictions and TE is an ideal tool to extract such dependencies from data.
topic transfer entropy
information theory
hodgkin-huxley model
url https://www.mdpi.com/2504-3900/33/1/2
work_keys_str_mv AT denizgencaga effectsofneuronalnoiseonneuralcommunication
AT sevgisengulayan effectsofneuronalnoiseonneuralcommunication
_version_ 1725863435817713664

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