通过设计脉冲神经元模型对不同神经元行为进行分类

2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN) Pub Date : 2013-03-25 DOI:10.1109/ICE-CCN.2013.6528592

A. Kumar, S. Kansal, M. Hanmandlu

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引用次数: 3

摘要

我们提出了一个简单的双方程模型，该模型产生了生物神经元的丰富行为，包括强直脉冲、强直脉冲、混合模式放电、强直脉冲频率自适应、谐振器、积分器等。我们的模型能够产生真实生物神经元的19种不同的动态。我们已经说明了单个神经元响应简单直流电脉冲时的尖峰行为的丰富性和复杂性。

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Classification of different neuron behavior by designing spiking neuron model

We have presented a simple two equation model which produces the rich behavior of biological neurons, including tonic spiking, tonic bursting, mixed mode firing, spike frequency adaptation, resonator, integrator etc. Our model is capable of producing 19 different kinds of dynamics of real biological neuron. We have illustrated the richness and complexity of spiking behavior of individual neuron in response to simple pulses of dc current.

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来源期刊

2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN)

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