日本語
 
Privacy Policy ポリシー/免責事項
  詳細検索ブラウズ

アイテム詳細

  Emergence of Neuronal Synchronisation in Coupled Areas

Protachevicz, P. R., Hansen, M., Iarosz, K. C., Caldas, I. L., Batista, A. M., & Kurths, J. (2021). Emergence of Neuronal Synchronisation in Coupled Areas. Frontiers in Computational Neuroscience, 15:. doi:10.3389/fncom.2021.663408.

Item is

基本情報

表示: 非表示:
資料種別: 学術論文

ファイル

表示: ファイル
非表示: ファイル
:
25826oa.pdf (出版社版), 5MB
ファイル名:
25826oa.pdf
説明:
-
閲覧制限:
公開
MIMEタイプ / チェックサム:
application/pdf / [MD5]
技術的なメタデータ:
著作権日付:
-
著作権情報:
-

関連URL

表示:

作成者

表示:
非表示:
 作成者:
Protachevicz, Paulo R.1, 著者
Hansen, Matheus1, 著者
Iarosz, Kelly C.1, 著者
Caldas, Iberê L.1, 著者
Batista, Antonio M.1, 著者
Kurths, Jürgen2, 著者              
所属:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

内容説明

表示:
非表示:
キーワード: -
 要旨: One of the most fundamental questions in the field of neuroscience is the emergence of synchronous behaviour in the brain, such as phase, anti-phase, and shift-phase synchronisation. In this work, we investigate how the connectivity between brain areas can influence the phase angle and the neuronal synchronisation. To do this, we consider brain areas connected by means of excitatory and inhibitory synapses, in which the neuron dynamics is given by the adaptive exponential integrate-and-fire model. Our simulations suggest that excitatory and inhibitory connections from one area to another play a crucial role in the emergence of these types of synchronisation. Thus, in the case of unidirectional interaction, we observe that the phase angles of the neurons in the receiver area depend on the excitatory and inhibitory synapses which arrive from the sender area. Moreover, when the neurons in the sender area are synchronised, the phase angle variability of the receiver area can be reduced for some conductance values between the areas. For bidirectional interactions, we find that phase and anti-phase synchronisation can emerge due to excitatory and inhibitory connections. We also verify, for a strong inhibitory-to-excitatory interaction, the existence of silent neuronal activities, namely a large number of excitatory neurons that remain in silence for a long time.

資料詳細

表示:
非表示:
言語:
 日付: 2021-04-222021-04-22
 出版の状態: Finally published
 ページ: -
 出版情報: -
 目次: -
 査読: 査読あり
 識別子(DOI, ISBNなど): DOI: 10.3389/fncom.2021.663408
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Complex Networks
Research topic keyword: Health
Research topic keyword: Nonlinear Dynamics
OATYPE: Gold Open Access
 学位: -

関連イベント

表示:

訴訟

表示:

Project information

表示:

出版物 1

表示:
非表示:
出版物名: Frontiers in Computational Neuroscience
種別: 学術雑誌, SCI, Scopus, oa
 著者・編者:
所属:
出版社, 出版地: -
ページ: - 巻号: 15 通巻号: 663408 開始・終了ページ: - 識別子(ISBN, ISSN, DOIなど): CoNE: https://publications.pik-potsdam.de/cone/journals/resource/frontiers-computational-neuroscience
Publisher: Frontiers