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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Research Foundation
2012
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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 |
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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 |
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