Spiking Neuron Models: Single Neurons, Populations, Plasticity

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9780521890793: Spiking Neuron Models: Single Neurons, Populations, Plasticity

This introduction to spiking neurons can be used in advanced-level 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. The authors formulate the theoretical concepts clearly without many mathematical details. While the book contains standard material for courses in computational neuroscience, neural modeling, or neural networks, it also provides an entry to current research. No prior knowledge beyond undergraduate mathematics is required.

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Book Description:

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.

About the Author:

Wulfram Gerstner is Director of the Laboratory of Computational Neuroscience and a Professor of Life Sciences and Computer Science at the Ecole Polytechnique Federale de Lausanne (EPFL) in Switzerland. He studied physics in Tubingen and Munich and holds a PhD from the Technical University of Munich. His research in computational neuroscience concentrates on models of spiking neurons and synaptic plasticity. He teaches computational neuroscience to physicists, computer scientists, mathematicians, and life scientists. He is a co-author of Spiking Neuron Models (Cambridge, 2002).

Werner M. Kistler received a Master's and PhD in physics from the Technical University of Munich. He previously worked as Assistant Professor in Rotterdam for computational neuroscience and he is the co-author of Spiking Neuron Models (Cambridge, 2002). He is now working in Munich as a patent attorney. His scientific contributions are related to spiking neuron models, synaptic plasticity, and network models of the cerebellum and the inferior olive.

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Wulfram Gerstner, Werner M. Kistler
Editore: CAMBRIDGE UNIVERSITY PRESS, United Kingdom (2002)
ISBN 10: 0521890799 ISBN 13: 9780521890793
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Descrizione libro CAMBRIDGE UNIVERSITY PRESS, United Kingdom, 2002. Paperback. Condizione libro: New. Language: English . Brand New Book. Neurons in the brain communicate by short electrical pulses, the so-called action potentials or spikes. How can we understand the process of spike generation? How can we understand information transmission by neurons? What happens if thousands of neurons are coupled together in a seemingly random network? How does the network connectivity determine the activity patterns? And, vice versa, how does the spike activity influence the connectivity pattern? These questions are addressed in this 2002 introduction to spiking neurons aimed at those taking courses in computational neuroscience, theoretical biology, biophysics, or neural networks. The approach will suit students of physics, mathematics, or computer science; it will also be useful for biologists who are interested in mathematical modelling. The text is enhanced by many worked examples and illustrations. There are no mathematical prerequisites beyond what the audience would meet as undergraduates: more advanced techniques are introduced in an elementary, concrete fashion when needed. Codice libro della libreria AAU9780521890793

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Wulfram Gerstner, Werner M. Kistler
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ISBN 10: 0521890799 ISBN 13: 9780521890793
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Descrizione libro Cambridge University Press 2002-08-15, Cambridge, 2002. paperback. Condizione libro: New. Codice libro della libreria 9780521890793

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Wulfram Gerstner, Werner M. Kistler
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Descrizione libro CAMBRIDGE UNIVERSITY PRESS, United Kingdom, 2002. Paperback. Condizione libro: New. Language: English . Brand New Book. Neurons in the brain communicate by short electrical pulses, the so-called action potentials or spikes. How can we understand the process of spike generation? How can we understand information transmission by neurons? What happens if thousands of neurons are coupled together in a seemingly random network? How does the network connectivity determine the activity patterns? And, vice versa, how does the spike activity influence the connectivity pattern? These questions are addressed in this 2002 introduction to spiking neurons aimed at those taking courses in computational neuroscience, theoretical biology, biophysics, or neural networks. The approach will suit students of physics, mathematics, or computer science; it will also be useful for biologists who are interested in mathematical modelling. The text is enhanced by many worked examples and illustrations. There are no mathematical prerequisites beyond what the audience would meet as undergraduates: more advanced techniques are introduced in an elementary, concrete fashion when needed. Codice libro della libreria AAU9780521890793

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Descrizione libro Cambridge University Press, 2002. Condizione libro: New. 2002. 1st Edition. Paperback. This 2002 book is an introduction to spiking neurons for advanced undergraduate or graduate students. Num Pages: 496 pages, 162 figures. BIC Classification: PSAN; UYQN. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 246 x 175 x 23. Weight in Grams: 786. Single Neurons, Populations, Plasticity. 496 pages, 162 figures. This 2002 book is an introduction to spiking neurons for advanced undergraduate or graduate students. Cateogry: (P) Professional & Vocational; (U) Tertiary Education (US: College). BIC Classification: PSAN; UYQN. Dimension: 246 x 175 x 23. Weight: 784. . . . . . . Codice libro della libreria V9780521890793

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Descrizione libro Cambridge University Press. Paperback. Condizione libro: new. BRAND NEW, Spiking Neuron Models: Single Neurons, Populations, Plasticity, Wulfram Gerstner, Werner M. Kistler, Neurons in the brain communicate by short electrical pulses, the so-called action potentials or spikes. How can we understand the process of spike generation? How can we understand information transmission by neurons? What happens if thousands of neurons are coupled together in a seemingly random network? How does the network connectivity determine the activity patterns? And, vice versa, how does the spike activity influence the connectivity pattern? These questions are addressed in this 2002 introduction to spiking neurons aimed at those taking courses in computational neuroscience, theoretical biology, biophysics, or neural networks. The approach will suit students of physics, mathematics, or computer science; it will also be useful for biologists who are interested in mathematical modelling. The text is enhanced by many worked examples and illustrations. There are no mathematical prerequisites beyond what the audience would meet as undergraduates: more advanced techniques are introduced in an elementary, concrete fashion when needed. Codice libro della libreria B9780521890793

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Descrizione libro Cambridge University Press, 2002. Condizione libro: New. book. Codice libro della libreria ria9780521890793_rkm

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Gerstner, Wulfram, Kistler, Werner M.
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Descrizione libro Cambridge University Press. Condizione libro: New. 2002. 1st Edition. Paperback. This 2002 book is an introduction to spiking neurons for advanced undergraduate or graduate students. Num Pages: 496 pages, 162 figures. BIC Classification: PSAN; UYQN. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 246 x 175 x 23. Weight in Grams: 786. Single Neurons, Populations, Plasticity. 496 pages, 162 figures. This 2002 book is an introduction to spiking neurons for advanced undergraduate or graduate students. Cateogry: (P) Professional & Vocational; (U) Tertiary Education (US: College). BIC Classification: PSAN; UYQN. Dimension: 246 x 175 x 23. Weight: 784. . . . . . Books ship from the US and Ireland. Codice libro della libreria V9780521890793

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Descrizione libro Cambridge University Press, 2002. PAP. Condizione libro: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Codice libro della libreria BB-9780521890793

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Gerstner, Wulfram
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Descrizione libro Cambridge University Press, 2016. Paperback. Condizione libro: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Codice libro della libreria ria9780521890793_lsuk

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Wulfram Gerstner
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Descrizione libro Cambridge University Press, 2002. Paperback. Condizione libro: New. First edition. Neurons in the brain communicate by short electrical pulses, the so-called action potentials or spikes. How can we understand the process of spike generation? How can we understand information transmission by neurons? What happens if thousands of neurons are coupled together in a seemingly random network? How does the network connectivity determine the activity patterns? And, vice versa, how does the spike activity influence the connectivity pattern? These questions are addressed in this introduction to spiking neurons aimed at those taking courses in computational neuroscience, theoretical biology, biophysics, or neural networks. The approach will suit students of physics, mathematics, or computer science; it will also be useful for biologists who are interested in mathematical modelling. The text is enhanced by many worked examples and illustrations. There are no mathematical prerequisites beyond what the audience would meet as undergraduates: more advanced techniques are introduced in an elementary, concrete fashion when needed. ? Modern approach takes the student to current research ? No unnecessary advanced mathematics, so suited for a broad audience ? Lots of illustrations and examples Contents 1. Introduction; Part I. Single Neuron Models: 2. Detailed neuron models; 3. Two-dimensional neuron models; 4. Formal spiking neuron models; 5. Noise in spiking neuron models; Part II. Population Models: 6. Population equations; 7. Signal transmission and neuronal coding; 8. Oscillations and synchrony; 9. Spatially structured networks; Part III. Models of Synaptic Plasticity: 10. Hebbian models; 11. Learning equations; 12. Plasticity and coding; Bibliography; Index. Printed Pages: 494. Codice libro della libreria 3078

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