Presentation 2015-11-09
A macroscopic neural mass model constructed from a current-based network of spiking neurons
Hiroaki Umehara, Masato Okada, Jun-nosuke Teramae, Yasushi Naruse,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Neural mass model describing the dynamics of mean membrane potentials for neuronal populations are formulated from the networks of the current-based leaky integrate-and-fire models with spiking situations. The spike trains both firing inside and transmitted from other populations are approximated linearly by the mean potentials. The obtained model is confirmed to include the neural mass model of non-spiking dynamics with the conductance-based synapse in the preceding study and to reproduce the spiking situation more accurately by the numerical observation of the time series and power spectrum densities of the potentials.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) recurrent networks of neurons / spike / mean membrane potential / power spectral density / linear filter
Paper # CCS2015-51
Date of Issue 2015-11-02 (CCS)

Conference Information
Committee CCS
Conference Date 2015/11/9(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Inamori Foundation Memorial Building, Kyoto Univ.
Topics (in Japanese) (See Japanese page)
Topics (in English) Interaction and Communication, etc.
Chair Hiroo Sekiya(Chiba Univ.)
Vice Chair Yasuhiro Tsubo(Ritsumeikan Univ.) / Naoki Wakamiya(Osaka Univ.)
Secretary Yasuhiro Tsubo(Kagawa National College of Tech.) / Naoki Wakamiya(Kyoto Sangyo Univ.)
Assistant Takayuki Kimura(Nippon Inst. of Tech.) / Song-Ju Kim(NIMS) / Ryo Takahashi(Kyoto Univ.) / Junnosuke Teramae(Osaka Univ.)

Paper Information
Registration To Technical Committee on Complex Communication Sciences
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A macroscopic neural mass model constructed from a current-based network of spiking neurons
Sub Title (in English)
Keyword(1) recurrent networks of neurons
Keyword(2) spike
Keyword(3) mean membrane potential
Keyword(4) power spectral density
Keyword(5) linear filter
1st Author's Name Hiroaki Umehara
1st Author's Affiliation National Institute of Information and Communications Technology(NICT)
2nd Author's Name Masato Okada
2nd Author's Affiliation The University of Tokyo(UTokyo)
3rd Author's Name Jun-nosuke Teramae
3rd Author's Affiliation Osaka University(Osaka Univ.)
4th Author's Name Yasushi Naruse
4th Author's Affiliation National Institute of Information and Communications Technology(NICT)
Date 2015-11-09
Paper # CCS2015-51
Volume (vol) vol.115
Number (no) CCS-300
Page pp.pp.35-40(CCS),
#Pages 6
Date of Issue 2015-11-02 (CCS)