SPARSE CODING USING NEUROMORPHIC COMPUTING
    1.
    发明申请

    公开(公告)号:US20180174028A1

    公开(公告)日:2018-06-21

    申请号:US15385541

    申请日:2016-12-20

    CPC classification number: G06N3/063 G06N3/04 G06N3/049

    Abstract: A spiking neural network (SNN) includes artificial neurons interconnected by artificial synapses, where the spiking neural network is defined to correspond to one or more numerical matrices, and neurons of the SNN include attributes to inhibit accumulation of potential at the respective neuron responsive to spike messages. Synapses of the SNN have weight values corresponding to one or more numerical matrices. Inputs are provided to the SNN corresponding to a numerical vector. Steady state spiking rates are determined for at least a subset of the neurons and a sparse basis vector is determined based on the steady state spiking rate values.

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