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 |