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PHYSICAL REVIEW E 90, Dynamics of random neural networks with bistable units M. Stern,1,4,* H. Sompolinsky,1,2,3 and L. F. Abbott4,5 1
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Document Date: 2015-04-09 15:53:25

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York / Cambridge / London / New York / /

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J. P. Cunningham L. P. / RANDOM NEURAL NETWORKS / /

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United States / Israel / /

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Columbia University College of Physicians / Racah Institute of Physics / Hebrew University / Harvard University / /

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generic networks / zero solution / stable solutions / nonzero stable solutions / mean-field solutions / fixed-point solutions / chaotic networks / static and dynamic solutions / neural networks / trivial solution / model networks / valid stable solutions / tasks requiring processing / stable solution / large enough networks / self-consistent solutions / possible solutions / stable fixed point solutions / learning algorithms / /

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Center for Brain Science / National Institute of Health / Gatsby Charitable Foundation / Hebrew University / Jerusalem / Harvard University / Columbia University College of Physicians and Surgeons / Swartz Foundation / Department of Neuroscience / Lily Safra Center for Brain Sciences / Department of Physiology and Cellular Biophysics / James S. McDonnell Foundation / Racah Institute of Physics / /

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T. Tao / V / Nat / Yashar Ahmadian / /

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Eqs / /

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New York / Massachusetts / /

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Neuroscience / neural network / Simulation / /

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