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Method for the neuromorphic / Shinaputoronikku spiking neural networks with synaptic weights are learned by using a simulation device, and circuit

机译:通过使用模拟装置来学习具有突触权重的神经形态/ Shinaputoronikku尖峰神经网络的方法和电路

摘要

Embodiments of the invention provide neuromorphic-synaptronic systems, including neuromorphic-synaptronic circuits implementing spiking neural network with synaptic weights learned using simulation. One embodiment includes simulating a spiking neural network to generate synaptic weights learned via the simulation while maintaining one-to-one correspondence between the simulation and a digital circuit chip. The learned synaptic weights are loaded into the digital circuit chip implementing a spiking neural network, the digital circuit chip comprising a neuromorphic-synaptronic spiking neural network including plural synapse devices interconnecting multiple digital neurons.
机译:本发明的实施例提供了神经形态突触系统,包括利用突触权重来实现尖峰神经网络的神经形态突触电路,所述突触神经网络是使用模拟来学习的。一个实施例包括模拟尖峰神经网络以生成经由模拟获知的突触权重,同时保持模拟与数字电路芯片之间的一一对应。将所学习的突触权重加载到实现尖峰神经网络的数字电路芯片中,该数字电路芯片包括神经形态-突触电子尖峰神经网络,该神经形态-突触电子尖峰神经网络包括将多个数字神经元互连的多个突触设备。

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