Robust persistent activity in neural fields with asymmetric connectivity

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Robust persistent activity in neural fields with asymmetric connectivity

Modeling studies have shown that recurrent interactions within neural networks are capable of self-sustaining non-uniform activity profiles. These patterns are thought to be the neural basis of working memory. However, the lack of robustness challenge this view as already small deviations from the assumed interaction symmetry destroy the attractor state. Here we analyze attractor states of a ne...

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Correction: Persistent Activity in Neural Networks with Dynamic Synapses

1 À Jux ¼ ÀJð xd þ ueÞ de dt ¼ a þ b xd þ ue dd dt ¼ Àc À d xd þ ue a ¼ 1 À x t r .0 b ¼ I J 2 .0 c ¼ u À U t f .0 d ¼ UIð1 À uÞ J .0

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Persistent activity states (attractors), observed in several neocortical areas after the removal of a sensory stimulus, are believed to be the neuronal basis of working memory. One of the possible mechanisms that can underlie persistent activity is recurrent excitation mediated by intracortical synaptic connections. A recent experimental study revealed that connections between pyramidal cells i...

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ژورنال

عنوان ژورنال: Neurocomputing

سال: 2006

ISSN: 0925-2312

DOI: 10.1016/j.neucom.2005.12.062