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Dynamic Response Behaviors of a Generalized Asynchronous Digital Spiking Neuron Model

机译:广义异步数字尖峰神经元模型的动态响应行为

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A generalized asynchronous digital spiking neuron model that can be implemented by an asynchronous sequential logic circuit is presented. The presented model is the most generalized version of asynchronous sequential logic circuit based neurons, where the sensitivity of its vector field to a stimulation input is generalized. It is clarified that, the generalization enables the model to exhibit various nonlinear responses characteristics that is classified into four groups. In addition, it is clarified that the generalization enables the model to exhibit typical dynamic response behaviors having prominent features observed in biological and model neurons.
机译:呈现了可以由异步顺序逻辑电路实现的广义异步数字尖峰神经元模型。呈现的模型是基于异步顺序逻辑电路的神经元的最广泛版本,其中其向量场对刺激输入的灵敏度是概括的。阐明了,概括使模型能够表现出分类为四组的各种非线性响应特性。此外,阐明了概括使得模型能够表现出在生物和模型神经元中观察到的突出特征的典型动态响应行为。

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