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Single neuron models

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Single Neuron Models

Some familiarity with the electrical properties of neurons, for instance the longer introductory lectures in Cellular Mechanisms of Brain Function or the shorter tutorial series on Basic mathematics for computational neurosciences. Knowledge of differential equations. Single neuron models - I. Difficulty level. Bard Ermentrout. Computational neuroscience. Introduction to stability analysis of neural models. External Links.

REGISTRIEREN, UM ZU SEHEN Single neuron models

Neurons are generally considered as both the structural and functional units of the nervous system and also as its basic units for information processing. A single neuron and its models have been well studied. As examples to show how computational neuroscientists use mathematical and informatic ideas and approaches to solve neurobiological problems, a variety of single neuron models are discussed in this chapter, including the HodgkinHuxley model, the multi-compartmental model, the simplified model, and some simplified or generalized models of the HH model. Dynamic analysis of some models mentioned above is also given, to show how such analysis might give us a theoretical framework to elucidate the variability of neuron behaviors.

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Biological neuron model

Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required. To get the free app, enter your mobile phone number. This is an introduction to spiking neurons for advanced undergraduate or graduate students. It can be used with courses in computational neuroscience, theoretical biology, neural modeling, biophysics, or neural networks.

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