Literature DB >> 24487016

Realistic thermodynamic and statistical-mechanical measures for neural synchronization.

Sang-Yoon Kim1, Woochang Lim2.   

Abstract

Synchronized brain rhythms, associated with diverse cognitive functions, have been observed in electrical recordings of brain activity. Neural synchronization may be well described by using the population-averaged global potential VG in computational neuroscience. The time-averaged fluctuation of VG plays the role of a "thermodynamic" order parameter O used for describing the synchrony-asynchrony transition in neural systems. Population spike synchronization may be well visualized in the raster plot of neural spikes. The degree of neural synchronization seen in the raster plot is well measured in terms of a "statistical-mechanical" spike-based measure Ms introduced by considering the occupation and the pacing patterns of spikes. The global potential VG is also used to give a reference global cycle for the calculation of Ms. Hence, VG becomes an important collective quantity because it is associated with calculation of both O and Ms. However, it is practically difficult to directly get VG in real experiments. To overcome this difficulty, instead of VG, we employ the instantaneous population spike rate (IPSR) which can be obtained in experiments, and develop realistic thermodynamic and statistical-mechanical measures, based on IPSR, to make practical characterization of the neural synchronization in both computational and experimental neuroscience. Particularly, more accurate characterization of weak sparse spike synchronization can be achieved in terms of realistic statistical-mechanical IPSR-based measure, in comparison with the conventional measure based on VG.
Copyright © 2014. Published by Elsevier B.V.

Entities:  

Keywords:  Instantaneous population spike rate; Neural synchronization; Realistic measure

Mesh:

Year:  2014        PMID: 24487016     DOI: 10.1016/j.jneumeth.2013.12.013

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  5 in total

1.  Frequency-domain order parameters for the burst and spike synchronization transitions of bursting neurons.

Authors:  Sang-Yoon Kim; Woochang Lim
Journal:  Cogn Neurodyn       Date:  2015-03-14       Impact factor: 5.082

2.  Noise-induced burst and spike synchronizations in an inhibitory small-world network of subthreshold bursting neurons.

Authors:  Sang-Yoon Kim; Woochang Lim
Journal:  Cogn Neurodyn       Date:  2014-11-29       Impact factor: 5.082

3.  Dynamical responses to external stimuli for both cases of excitatory and inhibitory synchronization in a complex neuronal network.

Authors:  Sang-Yoon Kim; Woochang Lim
Journal:  Cogn Neurodyn       Date:  2017-06-10       Impact factor: 5.082

4.  Effect of interpopulation spike-timing-dependent plasticity on synchronized rhythms in neuronal networks with inhibitory and excitatory populations.

Authors:  Sang-Yoon Kim; Woochang Lim
Journal:  Cogn Neurodyn       Date:  2020-03-17       Impact factor: 5.082

5.  Population and individual firing behaviors in sparsely synchronized rhythms in the hippocampal dentate gyrus.

Authors:  Sang-Yoon Kim; Woochang Lim
Journal:  Cogn Neurodyn       Date:  2021-10-23       Impact factor: 3.473

  5 in total

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