|
|
Biological neuron model - Wikipedia, the free encyclopedia
A biological neuron model (also known as a spiking neuron model ) is a mathematical description of the properties of nerve cells, or neurons, that is designed to accurately describe and predict bi...
en.wikipedia.org/wiki/Biological_neuron_model |
|||
|
|||
|
|||
|
Part I: Single Neuron Models ; Chapter 2: Detailed Neurom Models ; Chapter 3: Two-Dimensional Neuron Models ; Chapter 4: Formal Spiking Neuron Models ; Chapter 5: Noise in Spiking Neuron Models ; ... Part III: Models of Synaptic Plasitity ; Chapter 10: Hebbian Models ; Chapter 11: Learning Equations ; Chapter 12:
|
|||
|
Gerstner and Kistler ; Spiking Neuron Models. Single Neurons, Populations, Plasticity; Cambridge University Press, 2002 paperback: ISBN 0 521 89079 9 hardcover: ISBN 0 521 81384 0 ; Amazon ... I. Single Neuron Models...
|
|||
|
This course treats single neuron modeling, including molecular models of channels and channel gating, Hodgkin-Huxley style models of membrane currents, non-linear dynamics as a way of understanding membrane excitability, neural integration through cable theory, and network computation.
|
|||
|
Amazon.com: Spiking Neuron Models (9780521890793): Wulfram Gerstner,
|
|||
|
I will present one of the most simple neuron models, the integrate and ?re(IAF) neuron. Let us consider an input current I=I(t) (where t is the time) which depolarizes the neuron membrane thus causing a growth in its potential.
|
|||
|
Analog and Digital Hardware Neural Models ... We needed hardware neural models for teaching neurobiology and electronics. We wanted models at at least two different levels: ... Conductance-level neuron models which use analog techniques to simulate the dynamics of individual cells.
|
Copyright © 2009, Dictionary.com, LLC. All rights reserved.
Related Topics
