计算机科学
领域(数学)
研究生
理想(伦理)
编码(集合论)
计算神经科学
认知科学
动力学(音乐)
人工智能
数学
心理学
认识论
程序设计语言
哲学
集合(抽象数据类型)
纯数学
教育学
作者
Wulfram Gerstner,Werner M. Kistler,Richard Naud,Liam Paninski
出处
期刊:Cambridge University Press eBooks
[Cambridge University Press]
日期:2014-07-24
被引量:1353
标识
DOI:10.1017/cbo9781107447615
摘要
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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