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Spiking Neuron Mathematical Models: A Compact Overview.

Luigi Fortuna1,2, Arturo Buscarino1,2

  • 1Dipartimento di Ingegneria Elettrica Elettronica e Informatica, University of Catania, 95125 Catania, Italy.

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|February 25, 2023
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Summary
This summary is machine-generated.

This review explores the dynamical behaviors of five main spiking neuron models. It classifies recent studies to offer fundamental insights into spiking neurons from a dynamical systems perspective.

Keywords:
neural networknonlinear dynamicsspiking neuron

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Area of Science:

  • Computational Neuroscience
  • Dynamical Systems Theory

Background:

  • Spiking neurons are fundamental units in neural computation.
  • Understanding their dynamical behaviors is crucial for advancing computational neuroscience.

Purpose of the Study:

  • To review and classify recent literature on the dynamical behaviors of paradigmatic spiking neuron models.
  • To provide a dynamical systems perspective on spiking neuron models.

Main Methods:

  • Literature review and classification.
  • Analysis of dynamical behaviors of five key spiking neuron models.

Main Results:

  • Identification and classification of key research contributions.
  • Detailed discussion of the dynamical features of selected models.

Conclusions:

  • The review consolidates current knowledge on spiking neuron dynamics.
  • It serves as a foundational resource for researchers in computational neuroscience and dynamical systems.