Literature DB >> 34040674

Dependency analysis of frequency and strength of gamma oscillations on input difference between excitatory and inhibitory neurons.

Xiaochun Gu1, Fang Han1, Zhijie Wang1.   

Abstract

It has been found that gamma oscillations and the oscillation frequencies are regulated by the properties of external stimuli in many biology experimental researches. To unveil the underlying mechanism, firstly, we reproduced the experimental observations in an excitatory/inhibitory (E/I) neuronal network that the oscillation became stronger and moved to a higher frequency band (gamma band) with the increasing of the input difference between E/I neurons. Secondly, we found that gamma oscillation was induced by the unbalance between positive and negative synaptic currents, which was caused by the input difference between E/I neurons. When this input difference became greater, there would be a stronger gamma oscillation (i.e., a higher peak power in the power spectrum of the population activity of neurons). Further investigation revealed that the frequency dependency of gamma oscillation on the input difference between E/I neurons could be explained by the well-known mechanisms of inter-neuron-gamma (ING) and pyramidal-interneuron-gamma (PING). Finally, we derived mathematical analysis to verify the mechanism of frequency regulations and the results were consistent with the simulation results. The results of this paper provide a possible mechanism for the external stimuli-regulated gamma oscillations. © Springer Nature B.V. 2020.

Entities:  

Keywords:  Excitatory/inhibitory neuronal network; Gamma oscillation; Input difference; Inter-neuron-gamma; Pyramidal-interneuron-gamma

Year:  2020        PMID: 34040674      PMCID: PMC8131436          DOI: 10.1007/s11571-020-09622-5

Source DB:  PubMed          Journal:  Cogn Neurodyn        ISSN: 1871-4080            Impact factor:   3.473


  22 in total

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Review 3.  Synaptic mechanisms of synchronized gamma oscillations in inhibitory interneuron networks.

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4.  Gamma oscillation by synaptic inhibition in a hippocampal interneuronal network model.

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5.  Oscillatory synchronization in large-scale cortical networks predicts perception.

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Journal:  J Neurosci       Date:  2011-06-29       Impact factor: 6.167

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8.  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

9.  Emergent oscillations in networks of stochastic spiking neurons.

Authors:  Edward Wallace; Marc Benayoun; Wim van Drongelen; Jack D Cowan
Journal:  PLoS One       Date:  2011-05-06       Impact factor: 3.240

10.  Linear tuning of gamma amplitude and frequency to luminance contrast: evidence from a continuous mapping paradigm.

Authors:  Gavin Perry; James M Randle; Loes Koelewijn; Bethany C Routley; Krish D Singh
Journal:  PLoS One       Date:  2015-04-23       Impact factor: 3.240

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  3 in total

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Authors:  Yu Yang; Chuankui Yan
Journal:  Cogn Neurodyn       Date:  2021-11-20       Impact factor: 3.473

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3.  Bidirectionally Regulating Gamma Oscillations in Wilson-Cowan Model by Self-Feedback Loops: A Computational Study.

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  3 in total

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