发明名称 DYNAMICAL EVENT NEURON AND SYNAPSE MODELS FOR LEARNING SPIKING NEURAL NETWORKS
摘要 Certain aspects of the present disclosure support a technique for updating the state of an artificial neuron. A first state of the artificial neuron can be first determined, wherein a neuron model for the artificial neuron has a closed-form solution in continuous time and wherein state dynamics of the neuron model are divided into two or more regimes. An operating regime for the artificial neuron can be determined based, at least in part, on the first state. The state of the artificial neuron can be updated based, at least in part, on the first state of the artificial neuron and the determined operating regime.
申请公布号 US2014074761(A1) 申请公布日期 2014.03.13
申请号 US201314081777 申请日期 2013.11.15
申请人 QUALCOMM INCORPORATED 发明人 HUNZINGER JASON FRANK
分类号 G06N3/02 主分类号 G06N3/02
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