发明名称 Time-division multiplexed neurosynaptic module with implicit memory addressing for implementing a neural network
摘要 Embodiments of the invention relate to a time-division multiplexed neurosynaptic module with implicit memory addressing for implementing a neural network. One embodiment comprises maintaining neuron attributes for multiple neurons and maintaining incoming firing events for different time steps. For each time step, incoming firing events for said time step are integrated in a time-division multiplexing manner. Incoming firing events are integrated based on the neuron attributes maintained. For each time step, the neuron attributes maintained are updated in parallel based on the integrated incoming firing events for said time step.
申请公布号 US9239984(B2) 申请公布日期 2016.01.19
申请号 US201213725476 申请日期 2012.12.21
申请人 International Business Machines Corporation 发明人 Arthur John V.;Brezzo Bernard V.;Chang Leland;Friedman Daniel J.;Merolla Paul A.;Modha Dharmendra S.;Montoye Robert K.;Seo Jae-sun;Tierno Jose A.
分类号 G06N3/04;G06N3/063 主分类号 G06N3/04
代理机构 Sherman IP LLP 代理人 Sherman IP LLP ;Sherman Kenneth L.;Perumal Hemavathy
主权项 1. A method, comprising: maintaining neuron attributes for multiple neurons; maintaining a collection of axon activity bit maps for multiple axons, wherein each axon activity bit map corresponds to a particular time step, and the axon activity bit map maintains bits identifying incoming firing events for delivery to the multiple axons in the particular time step; and for each time step: integrating incoming firing events identified in an axon activity bit map corresponding to the time step in a time-division multiplexing manner, wherein the incoming firing events are integrated based on the neuron attributes;based on the integrated incoming firing events, generating an update vector identifying outgoing firing events generated by the multiple neurons, wherein at least one of the outgoing firing events targets an axon of the multiple axons in a different time step, and an axon activity bit map corresponding to the different time step is updated to include information identifying the at least one outgoing firing event for delivery to the axon in the different time step; andupdating the neuron attributes based on the integrated incoming firing events.
地址 Armonk NY US