Modeling the Cumulative Distribution Function of Spikes in Neural Networks

@article{Hoppensteadt2004ModelingTC,
  title={Modeling the Cumulative Distribution Function of Spikes in Neural Networks},
  author={Frank C. Hoppensteadt},
  journal={I. J. Bifurcation and Chaos},
  year={2004},
  volume={14},
  pages={1549-1558}
}
Important components of neural networks are input synapses, action potential generators and output synapses. Rather than modeling a whole neuron in terms of a few ionic channels or as having Hodgkin–Huxley, Morris–Lecar or FitzHugh–Nagumo dynamics, we describe a neuron's action potential generator (APG). An APG may be at the hillock region at the base of an axon or another specific region of a cell. We model it using bifurcation theory based on observations by A. F. Hodgkin about membrane… CONTINUE READING
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