Neuronal Dynamics

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Liam Paninski Wulfram GerstnerCambridge University Press, 7/24/2014EAN 9781107060838, ISBN10: 1107060834Hardcover, 590 pages, 24.4 x 17 x 3.2 cmLanguage: EnglishWhat 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.PrefacePart I. Foundations of Neuronal Dynamics1. Introduction2. The Hodgkin–Huxley model3. Dendrites and synapses4. Dimensionality reduction and phase plane analysisPart II. Generalized Integrate-and-Fire Neurons5. Nonlinear integrate-and-fire models6. Adaptation and firing patterns7. Variability of spike trains and neural codes8. Noisy input modelsbarrage of spike arrivals9. Noisy outputescape rate and soft threshold10. Estimating models11. Encoding and decoding with stochastic neuron modelsPart III. Networks of Neurons and Population Activity12. Neuronal populations13. Continuity equation and the Fokker–Planck approach14. The integral-equation approach15. Fast transients and rate modelsPart IV. Dynamics of Cognition16. Competing populations and decision making17. Memory and attractor dynamics18. Cortical field models for perception19. Synaptic plasticity and learning20. Outlookdynamics in plastic networksBibliographyIndex. Show more