Research Catalog
Spiking neuron models : single neurons, populations, plasticity / Wulfram Gerstner, Werner M. Kistler.
- Title
- Spiking neuron models : single neurons, populations, plasticity / Wulfram Gerstner, Werner M. Kistler.
- Author
- Gerstner, Wulfram
- Publication
- Cambridge, UK ; New York : Cambridge University Press, c2002.
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Status | Vol/Date | Format | Access | Call Number | Item Location |
---|---|---|---|---|---|
2002 | Text | Request in advance | QP363 .G475 2002 2002 | Off-site |
Holdings
Details
- Additional Authors
- Kistler, Werner M., 1969-
- Description
- xiv, 480 p. : ill.; 26 cm.
- 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.
- Subject
- Bibliography (note)
- Includes bibliographical references (p. 455-475) and index.
- Processing Action (note)
- committed to retain
- 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.
- ISBN
- 0521813840 (hb)
- 0521890799 (pbk.)
- LCCN
- ^^2002067657
- OCLC
- 49712258
- SCSB-10313900
- Owning Institutions
- Harvard Library