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POPULATION-BASED CONNECTIVITY ARCHITECTURE FOR SPIKING NEURAL NETWORKS
POPULATION-BASED CONNECTIVITY ARCHITECTURE FOR SPIKING NEURAL NETWORKS
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机译:面向神经网络的基于人口的连通性体系结构
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摘要
An electronic neuromorphic core processor circuit and related method include a dendrite circuit comprising an input that receives an input spike message having an associated input identifier that identifies a distribution set of dendrite compartments. A synapse map provides a mapping of the received identifier to a synapse configuration in the memory. A synapse configuration circuit associates the identifier with a set of synaptic connections, possibly shared hierarchically over populations of neurons defined implicitly by the mapping structures, that are read from the memory. The synaptic connections determine n-tuple information comprising a dendriteID, a weight, and a network delay time. A dendrite accumulator circuit accumulates weight values scheduled at the appropriate future time as identified by the n-tuple information and maps them to a soma compartment. A soma circuit maintains soma compartment state in response to the accumulated weight values scheduled for servicing and, when sufficiently activated, produces output spikes.
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