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Neuronal Dynamics - From Single Neurons to Networks and Models of Cognition (Hardcover): Wulfram Gerstner, Werner M. Kistler,... Neuronal Dynamics - From Single Neurons to Networks and Models of Cognition (Hardcover)
Wulfram Gerstner, Werner M. Kistler, Richard Naud, Liam Paninski
R2,822 Discovery Miles 28 220 Ships in 12 - 17 working days

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.

Neuronal Dynamics - From Single Neurons to Networks and Models of Cognition (Paperback): Wulfram Gerstner, Werner M. Kistler,... Neuronal Dynamics - From Single Neurons to Networks and Models of Cognition (Paperback)
Wulfram Gerstner, Werner M. Kistler, Richard Naud, Liam Paninski
R1,634 Discovery Miles 16 340 Ships in 12 - 17 working days

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.

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