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2015 Fiscal Year Final Research Report

cortical local circuit with network motifs and cluster structure

Research Project

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Project/Area Number 25430028
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Neurophysiology / General neuroscience
Research InstitutionOsaka University

Principal Investigator

Teramae Jun-nosuke  大阪大学, 情報科学研究科, 准教授 (50384722)

Project Period (FY) 2013-04-01 – 2016-03-31
Keywords大脳皮質 / ゆらぎ / ノイズ / 確率 / ネットワークモチーフ / スモールワールド / 脳 / 抑制性神経細胞
Outline of Final Research Achievements

Cortical networks sustain asynchronous irregular firing with low firing rate. Recent theoretical studies have revealed that coexistence of many weak and a few extremely strong excitatory synapses, plays an essential role in realizing the self-sustained activity. However, highly nonrandom features of the synaptic connectivity, i.e. cluster structure or bidirectional connections between cortical neurons have not been considered. The positive correlation of synaptic connections destabilize asynchronous activity Here, we show that the synchronization can be efficiently suppressed by highly heterogeneous distribution, typically a lognormal distribution, of inhibitory-to-excitatory connection in a recurrent network model of cortical neurons. We also found that clusters are not isolated in cortical network independently. Rather, they connected each other and globally they form so-called a small world network in local cortical network.

Free Research Field

脳情報科学

URL: 

Published: 2017-05-10  

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