Dynamics of self-sustained asynchronous-irregular activity in random networks of spiking neurons with strong synapses

Random networks of integrate-and-fire neurons with strong current-based synapses can, unlike previously believed, assume stable states of sustained asynchronous and irregular firing, even without external random background or pacemaker neurons.We analyze the mechanisms underlying the emergence, life...

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主要な著者:	Birgit eKriener, Håkon eEnger, Tom eTetzlaff, Hans Ekkehard ePlesser, Marc-Oliver eGewaltig, Gaute T Einevoll
フォーマット:	Artigo
言語:	Inglês
出版事項:	Frontiers Media S.A. 2014-10-01
シリーズ:	Frontiers in Computational Neuroscience
主題:	Balanced random networks self-sustained activity Leaky Integrate-and-Fire Neurons linear stability spike train irregularity
オンライン･アクセス:	http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00136/full
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