Spiking Neuron Models

Spiking Neuron Models

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. It focuses on phenomenological approaches rather than detailed models in order to provide the reader with a conceptual framework. No prior knowledge beyond undergraduate mathematics is necessary to follow the book. Thus it should appeal to students or researchers in physics, mathematics, or computer science interested in biology; moreover it will also be useful for biologists working in mathematical modeling.

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Publisher Cambridge University Press
Release Date
ISBN 9780521890793
Pages 480 pages
Rating 4/5 (99 users)

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Spiking Neuron Models
Language: en
Pages: 480
Authors: Wulfram Gerstner
Categories: Computers
Type: BOOK - Published: 2002-08-15 - Publisher: Cambridge University Press

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This is an introduction to spiking neurons for advanced undergraduate or graduate students. It can be used with courses in computational neuroscience, theoretic
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Pages: 496
Authors: Wulfram Gerstner
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Type: BOOK - Published: 2002-08-15 - Publisher: Cambridge University Press

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This introduction to spiking neurons can be used in advanced-level courses in computational neuroscience, theoretical biology, neural modeling, biophysics, or n
Characterization of a Spiking Neuron Model Via a Linear Approach
Language: en
Pages: 43
Authors: Amirhossein Jabalameli
Categories:
Type: BOOK - Published: 2015 - Publisher:

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In the past decade, characterizing spiking neuron models has been extensively researched as an essential issue in computational neuroscience. In this thesis, we
Reconstruction, Identification and Implementation Methods for Spiking Neural Circuits
Language: en
Pages: 139
Authors: Dorian Florescu
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Type: BOOK - Published: 2017-04-24 - Publisher: Springer

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This work is motivated by the ongoing open question of how information in the outside world is represented and processed by the brain. Consequently, several nov
Models for Neural Spike Computation and Cognition
Language: en
Pages: 142
Authors: David H. Staelin
Categories: Computers
Type: BOOK - Published: 2011-10-25 - Publisher: CreateSpace

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This monograph addresses the intertwined mathematical, neurological, and cognitive mysteries of the brain. It first evaluates the mathematical performance limit
A Contraction Argument for Two-dimensional Spiking Neuron Models
Language: en
Pages:
Authors: Eric Foxall
Categories:
Type: BOOK - Published: 2011 - Publisher:

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The field of mathematical neuroscience is concerned with the modeling and interpretation of neuronal dynamics and associated phenomena. Neurons can be modeled i
Spiking Neural Networks
Language: en
Pages: 80
Authors: Shaun Donachy
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Type: BOOK - Published: 2015 - Publisher:

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Networks of spiking neurons can be used not only for brain modeling but also to solve graph problems. With the use of a computationally efficient Izhikevich neu
A Spiking Neuron Model
Language: en
Pages: 27
Authors: Guido Bugmann
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Type: BOOK - Published: 2018 - Publisher:

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This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic app
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Pages: 590
Authors: Wulfram Gerstner
Categories: Computers
Type: BOOK - Published: 2014-07-24 - Publisher: Cambridge University Press

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This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience.
Self Organisation and Hierarchical Concept Representation in Networks of Spiking Neurons
Language: en
Pages:
Authors: Timothy Rumbell
Categories:
Type: BOOK - Published: 2013 - Publisher:

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The aim of this work is to introduce modular processing mechanisms for cortical functions implemented in networks of spiking neurons. Neural maps are a feature