发明名称 Hardware architecture for simulating a neural network of neurons
摘要 Embodiments of the invention relate to a neural network system for simulating neurons of a neural model. One embodiment comprises a memory device that maintains neuronal states for multiple neurons, a lookup table that maintains state transition information for multiple neuronal states, and a controller unit that manages the memory device. The controller unit updates a neuronal state for each neuron based on incoming spike events targeting said neuron and state transition information corresponding to said neuronal state.
申请公布号 US9087301(B2) 申请公布日期 2015.07.21
申请号 US201213725452 申请日期 2012.12.21
申请人 International Business Machines Corporation 发明人 Alvarez-Icaza Rivera Rodrigo;Arthur John V.;Cassidy Andrew S.;Datta Pallab;Merolla Paul A.;Modha Dharmendra S.
分类号 G06N3/063;G06N3/04;G06N3/06 主分类号 G06N3/063
代理机构 Sherman IP LLP 代理人 Sherman IP LLP ;Sherman Kenneth L.;Perumal Hemavathy
主权项 1. A neural network system, comprising: a memory device that maintains neuronal states for multiple neurons; a lookup table that maintains state transition information for multiple neuronal states, wherein said state transition information for said multiple neuronal states includes a sequence of neuronal states, and wherein said sequence identifies, for at least one neuronal state of said multiple neuronal states, a subsequent neuronal state that said at least one neuronal state transitions to; and a controller unit that manages said memory device, wherein said controller unit updates a neuronal state for each neuron based on incoming spike events targeting said neuron and state transition information corresponding to said neuronal state.
地址 Armonk NY US