发明名称 Mapping neural dynamics of a neural model on to a coarsely grained look-up table
摘要 Embodiments of the invention relate to mapping neural dynamics of a neural model on to a lookup table. One embodiment comprises defining a phase plane for a neural model. The phase plane represents neural dynamics of the neural model. The phase plane is coarsely sampled to obtain state transition information for multiple neuronal states. The state transition information is mapped on to a lookup table.
申请公布号 US9053429(B2) 申请公布日期 2015.06.09
申请号 US201213725442 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 G06E1/00;G06E3/00;G06F15/18;G06G7/00;G06N3/00;G06N3/04;G06N3/063 主分类号 G06E1/00
代理机构 Sherman IP LLP 代理人 Sherman IP LLP ;Sherman Kenneth L.;Perumal Hemavathy
主权项 1. A method for mapping neural dynamics of a neural model representing biological neurons, the method comprising: defining a phase plane for a neural model, wherein the phase plane represents neural dynamics of the neural model; coarsely sampling the phase plane to obtain state transition information for multiple neuronal states, wherein the state transition information identifies, for at least one neuronal state of the multiple neuronal states, a subsequent neuronal state that the at least one neuronal state transitions to; and mapping the state transition information on to a lookup table.
地址 Armonk NY US