Neuronal dynamics : from single neurons to networks and models of cognition
Author(s)
Bibliographic Information
Neuronal dynamics : from single neurons to networks and models of cognition
Cambridge University Press, 2014
- : hard
- : pbk
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Other authors: Werner M. Kistler, Richard Naud, Liam Paninski
Includes bibliographical references and index
Description and Table of Contents
Description
What happens in our brain when we make a decision? What triggers a neuron to send out a signal? What is the neural code? This textbook for advanced undergraduate and beginning graduate students provides a thorough and up-to-date introduction to the fields of computational and theoretical neuroscience. It covers classical topics, including the Hodgkin-Huxley equations and Hopfield model, as well as modern developments in the field such as generalized linear models and decision theory. Concepts are introduced using clear step-by-step explanations suitable for readers with only a basic knowledge of differential equations and probabilities, and are richly illustrated by figures and worked-out examples. End-of-chapter summaries and classroom-tested exercises make the book ideal for courses or for self-study. The authors also give pointers to the literature and an extensive bibliography, which will prove invaluable to readers interested in further study.
Table of Contents
- Preface
- Part I. Foundations of Neuronal Dynamics: 1. Introduction
- 2. The Hodgkin-Huxley model
- 3. Dendrites and synapses
- 4. Dimensionality reduction and phase plane analysis
- Part II. Generalized Integrate-and-Fire Neurons: 5. Nonlinear integrate-and-fire models
- 6. Adaptation and firing patterns
- 7. Variability of spike trains and neural codes
- 8. Noisy input models: barrage of spike arrivals
- 9. Noisy output: escape rate and soft threshold
- 10. Estimating models
- 11. Encoding and decoding with stochastic neuron models
- Part III. Networks of Neurons and Population Activity: 12. Neuronal populations
- 13. Continuity equation and the Fokker-Planck approach
- 14. The integral-equation approach
- 15. Fast transients and rate models
- Part IV. Dynamics of Cognition: 16. Competing populations and decision making
- 17. Memory and attractor dynamics
- 18. Cortical field models for perception
- 19. Synaptic plasticity and learning
- 20. Outlook: dynamics in plastic networks
- Bibliography
- Index.
by "Nielsen BookData"
