发明名称 EVENT-DRIVEN UNIVERSAL NEURAL NETWORK CIRCUIT
摘要 The present invention provides an event-driven universal neural network circuit. The circuit comprises a plurality of neural modules. Each neural module comprises multiple digital neurons such that each neuron in a neural module has a corresponding neuron in another neural module. An interconnection network comprising a plurality of digital synapses interconnects the neural modules. Each synapse interconnects a first neural module to a second neural module by interconnecting a neuron in the first neural module to a corresponding neuron in the second neural module. Corresponding neurons in the first neural module and the second neural module communicate via the synapses. Each synapse comprises a learning rule associating a neuron in the first neural module with a corresponding neuron in the second neural module. A control module generates signals which define a set of time steps for event-driven operation of the neurons and event communication via the interconnection network.
申请公布号 US2016162780(A1) 申请公布日期 2016.06.09
申请号 US201615015990 申请日期 2016.02.04
申请人 International Business Machines Corporation 发明人 Modha Dharmendra S.
分类号 G06N3/08 主分类号 G06N3/08
代理机构 代理人
主权项 1. A method comprising: at a neural network circuit comprising a plurality of neurons interconnected via a plurality of synapses: applying a first set of learning rules to a first set of synapses of the plurality of synapses, wherein the first set of synapses has a first synapse type;applying a second set of learning rules to a second set of synapses of the plurality of synapses, wherein the second set of synapses has a second synapse type, and the second set of learning rules is a reverse of the first set of learning rules;receiving at least one input event at a first set of neurons of the plurality of neurons; andgenerating at least one output event at a second set of neurons of the plurality of neurons.
地址 Armonk NY US