Bokus

Eugene M. Izhikevich – författare

Visar alla böcker från författaren Eugene M. Izhikevich. Handla med fri frakt och snabb leverans.

4 produkter

  1. Eugene M. Izhikevich - Dynamical Systems in Neuroscience, Häftad. Tillgänglighet: Lägg i varukorg

    Dynamical Systems in Neuroscience

    The Geometry of Excitability and Bursting

    Av Eugene M. Izhikevich

    Häftad, 2010

    713 kr

    Lägg i varukorg

  2. Frank C. Hoppensteadt, Eugene M. Izhikevich - Weakly Connected Neural Networks, Inbunden. Tillgänglighet: Lägg i varukorg

    Weakly Connected Neural Networks

    Av Frank C. Hoppensteadt, Eugene M. Izhikevich

    Inbunden, 1997

    1527 kr

    Lägg i varukorg

    This book is devoted to an analysis of general weakly connected neural networks (WCNNs) that can be written in the form (0.1) m Here, each Xi E IR is a vector that summarizes all physiological attributes of the ith neuron, n is the number of neurons, Ii describes the dynam­ ics of the ith neuron, …

  3. Eugene M. Izhikevich, Frank C. Hoppensteadt - Weakly Connected Neural Networks, E-bok. Tillgänglighet: Lägg i varukorg

    Weakly Connected Neural Networks

    Av Eugene M. Izhikevich, Frank C. Hoppensteadt

    E-bok, 2012

    1459 kr

    Lägg i varukorg

    This book is devoted to an analysis of general weakly connected neural networks (WCNNs) that can be written in the form (0.1) m Here, each Xi E IR is a vector that summarizes all physiological attributes of the ith neuron, n is the number of neurons, Ii describes the dynam­ ics of the ith neuron, …

  4. Frank C. Hoppensteadt, Eugene M. Izhikevich - Weakly Connected Neural Networks, Häftad. Tillgänglighet: Lägg i varukorg

    Weakly Connected Neural Networks

    Av Frank C. Hoppensteadt, Eugene M. Izhikevich

    Häftad, 2012

    1096 kr

    Lägg i varukorg

    This book is devoted to an analysis of general weakly connected neural networks (WCNNs) that can be written in the form (0.1) m Here, each Xi E IR is a vector that summarizes all physiological attributes of the ith neuron, n is the number of neurons, Ii describes the dynam­ ics of the ith neuron, …