Cargando…

When Long-Range Zero-Lag Synchronization is Feasible in Cortical Networks

Many studies have reported long-range synchronization of neuronal activity between brain areas, in particular in the beta and gamma bands with frequencies in the range of 14–30 and 40–80 Hz, respectively. Several studies have reported synchrony with zero phase lag, which is remarkable considering th...

Descripción completa

Detalles Bibliográficos
Autores principales: Viriyopase, Atthaphon, Bojak, Ingo, Zeitler, Magteld, Gielen, Stan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3406310/
https://www.ncbi.nlm.nih.gov/pubmed/22866034
http://dx.doi.org/10.3389/fncom.2012.00049
_version_ 1782239219768360960
author Viriyopase, Atthaphon
Bojak, Ingo
Zeitler, Magteld
Gielen, Stan
author_facet Viriyopase, Atthaphon
Bojak, Ingo
Zeitler, Magteld
Gielen, Stan
author_sort Viriyopase, Atthaphon
collection PubMed
description Many studies have reported long-range synchronization of neuronal activity between brain areas, in particular in the beta and gamma bands with frequencies in the range of 14–30 and 40–80 Hz, respectively. Several studies have reported synchrony with zero phase lag, which is remarkable considering the synaptic and conduction delays inherent in the connections between distant brain areas. This result has led to many speculations about the possible functional role of zero-lag synchrony, such as for neuronal communication, attention, memory, and feature binding. However, recent studies using recordings of single-unit activity and local field potentials report that neuronal synchronization may occur with non-zero phase lags. This raises the questions whether zero-lag synchrony can occur in the brain and, if so, under which conditions. We used analytical methods and computer simulations to investigate which connectivity between neuronal populations allows or prohibits zero-lag synchrony. We did so for a model where two oscillators interact via a relay oscillator. Analytical results and computer simulations were obtained for both type I Mirollo–Strogatz neurons and type II Hodgkin–Huxley neurons. We have investigated the dynamics of the model for various types of synaptic coupling and importantly considered the potential impact of Spike-Timing Dependent Plasticity (STDP) and its learning window. We confirm previous results that zero-lag synchrony can be achieved in this configuration. This is much easier to achieve with Hodgkin–Huxley neurons, which have a biphasic phase response curve, than for type I neurons. STDP facilitates zero-lag synchrony as it adjusts the synaptic strengths such that zero-lag synchrony is feasible for a much larger range of parameters than without STDP.
format Online
Article
Text
id pubmed-3406310
institution National Center for Biotechnology Information
language English
publishDate 2012
publisher Frontiers Research Foundation
record_format MEDLINE/PubMed
spelling pubmed-34063102012-08-03 When Long-Range Zero-Lag Synchronization is Feasible in Cortical Networks Viriyopase, Atthaphon Bojak, Ingo Zeitler, Magteld Gielen, Stan Front Comput Neurosci Neuroscience Many studies have reported long-range synchronization of neuronal activity between brain areas, in particular in the beta and gamma bands with frequencies in the range of 14–30 and 40–80 Hz, respectively. Several studies have reported synchrony with zero phase lag, which is remarkable considering the synaptic and conduction delays inherent in the connections between distant brain areas. This result has led to many speculations about the possible functional role of zero-lag synchrony, such as for neuronal communication, attention, memory, and feature binding. However, recent studies using recordings of single-unit activity and local field potentials report that neuronal synchronization may occur with non-zero phase lags. This raises the questions whether zero-lag synchrony can occur in the brain and, if so, under which conditions. We used analytical methods and computer simulations to investigate which connectivity between neuronal populations allows or prohibits zero-lag synchrony. We did so for a model where two oscillators interact via a relay oscillator. Analytical results and computer simulations were obtained for both type I Mirollo–Strogatz neurons and type II Hodgkin–Huxley neurons. We have investigated the dynamics of the model for various types of synaptic coupling and importantly considered the potential impact of Spike-Timing Dependent Plasticity (STDP) and its learning window. We confirm previous results that zero-lag synchrony can be achieved in this configuration. This is much easier to achieve with Hodgkin–Huxley neurons, which have a biphasic phase response curve, than for type I neurons. STDP facilitates zero-lag synchrony as it adjusts the synaptic strengths such that zero-lag synchrony is feasible for a much larger range of parameters than without STDP. Frontiers Research Foundation 2012-07-27 /pmc/articles/PMC3406310/ /pubmed/22866034 http://dx.doi.org/10.3389/fncom.2012.00049 Text en Copyright © 2012 Viriyopase, Bojak, Zeitler and Gielen. http://www.frontiersin.org/licenseagreement This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.
spellingShingle Neuroscience
Viriyopase, Atthaphon
Bojak, Ingo
Zeitler, Magteld
Gielen, Stan
When Long-Range Zero-Lag Synchronization is Feasible in Cortical Networks
title When Long-Range Zero-Lag Synchronization is Feasible in Cortical Networks
title_full When Long-Range Zero-Lag Synchronization is Feasible in Cortical Networks
title_fullStr When Long-Range Zero-Lag Synchronization is Feasible in Cortical Networks
title_full_unstemmed When Long-Range Zero-Lag Synchronization is Feasible in Cortical Networks
title_short When Long-Range Zero-Lag Synchronization is Feasible in Cortical Networks
title_sort when long-range zero-lag synchronization is feasible in cortical networks
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3406310/
https://www.ncbi.nlm.nih.gov/pubmed/22866034
http://dx.doi.org/10.3389/fncom.2012.00049
work_keys_str_mv AT viriyopaseatthaphon whenlongrangezerolagsynchronizationisfeasibleincorticalnetworks
AT bojakingo whenlongrangezerolagsynchronizationisfeasibleincorticalnetworks
AT zeitlermagteld whenlongrangezerolagsynchronizationisfeasibleincorticalnetworks
AT gielenstan whenlongrangezerolagsynchronizationisfeasibleincorticalnetworks