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Spiking neuron models : single neurons, populations, plasticity / Wulfram Gerstner, Werner M. Kistler.

By: Contributor(s): Material type: TextTextPublisher: Cambridge, U.K. ; New York : Cambridge University Press, 2002Copyright date: ©2002Description: xiv, 480 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 0521813840
  • 9780521813846
  • 0521890799
  • 9780521890793
Subject(s): Additional physical formats: No titleDDC classification:
  • 573.8536 21
LOC classification:
  • QP363 .G475 2002
Online resources:
Contents:
Single Neuron Models -- Detailed neuron models -- Two-dimensional neuron models -- Formal spiking neuron models -- Noise in spiking neuron models -- Population Models -- Population equations -- Signal transmission and neuronal coding -- Oscillations and synchrony -- Spatially structured networks -- Models of Synaptic Plasticity -- Hebbian models -- Learning equations -- Plasticity and coding.
Summary: "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."--Publisher description.
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Holdings
Item type Current library Call number Status Date due Barcode
Book City Campus City Campus Main Collection 573.8536 GER (Browse shelf(Opens below)) Available A546975B

Includes bibliographical references and index.

Single Neuron Models -- Detailed neuron models -- Two-dimensional neuron models -- Formal spiking neuron models -- Noise in spiking neuron models -- Population Models -- Population equations -- Signal transmission and neuronal coding -- Oscillations and synchrony -- Spatially structured networks -- Models of Synaptic Plasticity -- Hebbian models -- Learning equations -- Plasticity and coding.

"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."--Publisher description.

Machine converted from AACR2 source record.

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