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 |
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代理人 |
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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 |