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

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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Bibliographic Details
Main Authors: Birgit eKriener, Håkon eEnger, Tom eTetzlaff, Hans Ekkehard ePlesser, Marc-Oliver eGewaltig, Gaute T Einevoll
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-10-01
Series:Frontiers in Computational Neuroscience
Subjects:
Balanced random networks
self-sustained activity
Leaky Integrate-and-Fire Neurons
linear stability
spike train irregularity
Online Access:http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00136/full

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http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00136/full

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