发明授权
US08719199B2 Systems and methods for providing a neural network having an elementary network description for efficient implementation of event-triggered plasticity rules
失效
用于提供具有用于有效实现事件触发可塑性规则的基本网络描述的神经网络的系统和方法
- 专利标题： Systems and methods for providing a neural network having an elementary network description for efficient implementation of event-triggered plasticity rules
- 专利标题（中）： 用于提供具有用于有效实现事件触发可塑性规则的基本网络描述的神经网络的系统和方法
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申请号： US13239163申请日： 2011-09-21
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公开(公告)号： US08719199B2公开(公告)日： 2014-05-06
- 发明人: Eugene M. Izhikevich , Botond Szatmary , Csaba Petre , Filip Piekniewski , Jayram Moorkanikara Nageswaran
- 申请人： Eugene M. Izhikevich , Botond Szatmary , Csaba Petre , Filip Piekniewski , Jayram Moorkanikara Nageswaran
- 申请人地址： US CA San Diego
- 专利权人： Brain Corporation
- 当前专利权人： Brain Corporation
- 当前专利权人地址： US CA San Diego
- 代理机构： Pillsbury Winthrop Shaw Pittman LLP
- 主分类号： G05B13/02
- IPC分类号： G05B13/02 ; G06N3/08
摘要：
A simple format is disclosed and referred to as Elementary Network Description (END). The format can fully describe a large-scale neuronal model and embodiments of software or hardware engines to simulate such a model efficiently. The architecture of such neuromorphic engines is optimal for high-performance parallel processing of spiking networks with spike-timing dependent plasticity. The software and hardware engines are optimized to take into account short-term and long-term synaptic plasticity in the form of LTD, LTP, and STDP.
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