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Computational neuroscience / Integral membrane proteins / Cell communication / Hodgkin–Huxley model / Membrane potential / Biological neuron model / Sodium channel / Differential equation / Potassium channel / Biology / Electrophysiology / Ion channels


Ensembles of membrane proteins as statistical mixed-signal computers
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Document Date: 2005-08-10 18:44:00


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Fullerton / Washington / Montreal / London / Sunderland / /

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Sinauer Associates / Cambridge University Press / Neural Networks / MIT Press / /

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Canada / /

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Stanford University / /

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brain hardware / chemical reactions / chemical messages / information processing / mixed-signal systems / information processing level / motor devices / information processing significance / dynamical systems / /

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The big picture / /

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Potassium channel / Sodium channel / /

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Cambridge University / Cognitive Science Society / MIT / Stanford University / pp. / Ensemble of Probabilistic Molecular Machines / Victor Eliashberg Department of Electrical Engineering / /

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Physiological Rev / Monte-Carlo / Victor Eliashberg / /

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Single-cell neuronal model for associative learning / second messenger / HH gate model / /

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C++ / /

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D.C / California / Massachusetts / Washington / /

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Stanford University / /

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neuroscience / thermodynamics / neural network / simulation / Parallel Processing / /

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