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{ "item_title" : "Neuronal Dynamics", "item_author" : [" Wulfram Gerstner", "Werner M. Kistler", "Richard Naud "], "item_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.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/10/706/083/1107060834_b.jpg", "price_data" : { "retail_price" : "143.00", "online_price" : "143.00", "our_price" : "143.00", "club_price" : "143.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Neuronal Dynamics|Wulfram Gerstner

Neuronal Dynamics

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Overview

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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Details

  • ISBN-13: 9781107060838
  • ISBN-10: 1107060834
  • Publisher: Cambridge University Press
  • Publish Date: July 2014
  • Dimensions: 9.8 x 6.9 x 1.2 inches
  • Shipping Weight: 2.8 pounds
  • Page Count: 590

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