The pairwise phase consistency in cortical network and its relationship with neuronal activation
Gamma-band neuronal oscillation and synchronization with the range of 30-90 Hz are ubiquitous phenomenon across numerous brain areas and various species, and correlated with plenty of cognitive functions. The phase of the oscillation, as one aspect of CTC (Communication through Coherence) hypothesis...
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Online Access: | http://dx.doi.org/10.1051/bioconf/20170802006 |
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doaj-0d11c66dd29446f397dabfc8c22112a02021-04-02T19:40:55ZengEDP SciencesBIO Web of Conferences2117-44582017-01-0180200610.1051/bioconf/20170802006bioconf_icmsb2017_02006The pairwise phase consistency in cortical network and its relationship with neuronal activationWang DamingSun YaoruGamma-band neuronal oscillation and synchronization with the range of 30-90 Hz are ubiquitous phenomenon across numerous brain areas and various species, and correlated with plenty of cognitive functions. The phase of the oscillation, as one aspect of CTC (Communication through Coherence) hypothesis, underlies various functions for feature coding, memory processing and behaviour performing. The PPC (Pairwise Phase Consistency), an improved coherence measure, statistically quantifies the strength of phase synchronization. In order to evaluate the PPC and its relationships with input stimulus, neuronal activation and firing rate, a simplified spiking neuronal network is constructed to simulate orientation columns in primary visual cortex. If the input orientation stimulus is preferred for a certain orientation column, neurons within this corresponding column will obtain higher firing rate and stronger neuronal activation, which consequently engender higher PPC values, with higher PPC corresponding to higher firing rate. In addition, we investigate the PPC in time resolved analysis with a sliding window.http://dx.doi.org/10.1051/bioconf/20170802006 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Wang Daming Sun Yaoru |
spellingShingle |
Wang Daming Sun Yaoru The pairwise phase consistency in cortical network and its relationship with neuronal activation BIO Web of Conferences |
author_facet |
Wang Daming Sun Yaoru |
author_sort |
Wang Daming |
title |
The pairwise phase consistency in cortical network and its relationship with neuronal activation |
title_short |
The pairwise phase consistency in cortical network and its relationship with neuronal activation |
title_full |
The pairwise phase consistency in cortical network and its relationship with neuronal activation |
title_fullStr |
The pairwise phase consistency in cortical network and its relationship with neuronal activation |
title_full_unstemmed |
The pairwise phase consistency in cortical network and its relationship with neuronal activation |
title_sort |
pairwise phase consistency in cortical network and its relationship with neuronal activation |
publisher |
EDP Sciences |
series |
BIO Web of Conferences |
issn |
2117-4458 |
publishDate |
2017-01-01 |
description |
Gamma-band neuronal oscillation and synchronization with the range of 30-90 Hz are ubiquitous phenomenon across numerous brain areas and various species, and correlated with plenty of cognitive functions. The phase of the oscillation, as one aspect of CTC (Communication through Coherence) hypothesis, underlies various functions for feature coding, memory processing and behaviour performing. The PPC (Pairwise Phase Consistency), an improved coherence measure, statistically quantifies the strength of phase synchronization. In order to evaluate the PPC and its relationships with input stimulus, neuronal activation and firing rate, a simplified spiking neuronal network is constructed to simulate orientation columns in primary visual cortex. If the input orientation stimulus is preferred for a certain orientation column, neurons within this corresponding column will obtain higher firing rate and stronger neuronal activation, which consequently engender higher PPC values, with higher PPC corresponding to higher firing rate. In addition, we investigate the PPC in time resolved analysis with a sliding window. |
url |
http://dx.doi.org/10.1051/bioconf/20170802006 |
work_keys_str_mv |
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