Dendritic and Axonal Propagation Delays May Shape Neuronal Networks With Plastic Synapses

Biological neuronal networks are highly adaptive and plastic. For instance, spike-timing-dependent plasticity (STDP) is a core mechanism which adapts the synaptic strengths based on the relative timing of pre- and postsynaptic spikes. In various fields of physiology, time delays cause a plethora of...

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Main Authors: Mojtaba Madadi Asl, Alireza Valizadeh, Peter A. Tass
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-12-01
Series:Frontiers in Physiology
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fphys.2018.01849/full
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spelling doaj-0e580055b57245538ea53689d98e26842020-11-24T22:52:54ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2018-12-01910.3389/fphys.2018.01849421050Dendritic and Axonal Propagation Delays May Shape Neuronal Networks With Plastic SynapsesMojtaba Madadi Asl0Alireza Valizadeh1Alireza Valizadeh2Peter A. Tass3Department of Physics, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, IranDepartment of Physics, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, IranSchool of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, IranDepartment of Neurosurgery, Stanford University School of Medicine, Stanford, CA, United StatesBiological neuronal networks are highly adaptive and plastic. For instance, spike-timing-dependent plasticity (STDP) is a core mechanism which adapts the synaptic strengths based on the relative timing of pre- and postsynaptic spikes. In various fields of physiology, time delays cause a plethora of biologically relevant dynamical phenomena. However, time delays increase the complexity of model systems together with the computational and theoretical analysis burden. Accordingly, in computational neuronal network studies propagation delays were often neglected. As a downside, a classic STDP rule in oscillatory neurons without propagation delays is unable to give rise to bidirectional synaptic couplings, i.e., loops or uncoupled states. This is at variance with basic experimental results. In this mini review, we focus on recent theoretical studies focusing on how things change in the presence of propagation delays. Realistic propagation delays may lead to the emergence of neuronal activity and synaptic connectivity patterns, which cannot be captured by classic STDP models. In fact, propagation delays determine the inventory of attractor states and shape their basins of attractions. The results reviewed here enable to overcome fundamental discrepancies between theory and experiments. Furthermore, these findings are relevant for the development of therapeutic brain stimulation techniques aiming at shifting the diseased brain to more favorable attractor states.https://www.frontiersin.org/article/10.3389/fphys.2018.01849/fullpropagation delaysspike-timing-dependent plasticitysynchronizationmathematical modelingliving systems
collection DOAJ
language English
format Article
sources DOAJ
author Mojtaba Madadi Asl
Alireza Valizadeh
Alireza Valizadeh
Peter A. Tass
spellingShingle Mojtaba Madadi Asl
Alireza Valizadeh
Alireza Valizadeh
Peter A. Tass
Dendritic and Axonal Propagation Delays May Shape Neuronal Networks With Plastic Synapses
Frontiers in Physiology
propagation delays
spike-timing-dependent plasticity
synchronization
mathematical modeling
living systems
author_facet Mojtaba Madadi Asl
Alireza Valizadeh
Alireza Valizadeh
Peter A. Tass
author_sort Mojtaba Madadi Asl
title Dendritic and Axonal Propagation Delays May Shape Neuronal Networks With Plastic Synapses
title_short Dendritic and Axonal Propagation Delays May Shape Neuronal Networks With Plastic Synapses
title_full Dendritic and Axonal Propagation Delays May Shape Neuronal Networks With Plastic Synapses
title_fullStr Dendritic and Axonal Propagation Delays May Shape Neuronal Networks With Plastic Synapses
title_full_unstemmed Dendritic and Axonal Propagation Delays May Shape Neuronal Networks With Plastic Synapses
title_sort dendritic and axonal propagation delays may shape neuronal networks with plastic synapses
publisher Frontiers Media S.A.
series Frontiers in Physiology
issn 1664-042X
publishDate 2018-12-01
description Biological neuronal networks are highly adaptive and plastic. For instance, spike-timing-dependent plasticity (STDP) is a core mechanism which adapts the synaptic strengths based on the relative timing of pre- and postsynaptic spikes. In various fields of physiology, time delays cause a plethora of biologically relevant dynamical phenomena. However, time delays increase the complexity of model systems together with the computational and theoretical analysis burden. Accordingly, in computational neuronal network studies propagation delays were often neglected. As a downside, a classic STDP rule in oscillatory neurons without propagation delays is unable to give rise to bidirectional synaptic couplings, i.e., loops or uncoupled states. This is at variance with basic experimental results. In this mini review, we focus on recent theoretical studies focusing on how things change in the presence of propagation delays. Realistic propagation delays may lead to the emergence of neuronal activity and synaptic connectivity patterns, which cannot be captured by classic STDP models. In fact, propagation delays determine the inventory of attractor states and shape their basins of attractions. The results reviewed here enable to overcome fundamental discrepancies between theory and experiments. Furthermore, these findings are relevant for the development of therapeutic brain stimulation techniques aiming at shifting the diseased brain to more favorable attractor states.
topic propagation delays
spike-timing-dependent plasticity
synchronization
mathematical modeling
living systems
url https://www.frontiersin.org/article/10.3389/fphys.2018.01849/full
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AT alirezavalizadeh dendriticandaxonalpropagationdelaysmayshapeneuronalnetworkswithplasticsynapses
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