Theoretical Neuroscience - Peter Dayan, Laurence F. Abbott

Theoretical Neuroscience

Peter Dayan, Laurence F. Abbott

出版社

The MIT Press

出版时间

2005-09-01

ISBN

9780262541855

评分

★★★★★
书籍介绍
Theoretical neuroscience provides a quantitative basis for describing what nervous systems do, determining how they function, and uncovering the general principles by which they operate. This text introduces the basic mathematical and computational methods of theoretical neuroscience and presents applications in a variety of areas including vision, sensory-motor integration, development, learning, and memory.The book is divided into three parts. Part I discusses the relationship between sensory stimuli and neural responses, focusing on the representation of information by the spiking activity of neurons. Part II discusses the modeling of neurons and neural circuits on the basis of cellular and synaptic biophysics. Part III analyzes the role of plasticity in development and learning. An appendix covers the mathematical methods used, and exercises are available on the book's Web site.
用户评论
速览了前两部分
对recurrency的讨论挺有意思
就算开始了,数学仙英语仙牙仙都保佑我。。
听说2020有新版了?
大眼老师的经典著作
好书,当年读的我抱头痛哭。还是Zhaoping的 Understanding Vision更让人轻松一些。
粗粗翻完。neuroscience真是万金油。老板的形象更高大了
没有整本书看,里面涉及到了很多统计物理方面的知识,看不太懂。这本书写的很first principle,你能通过这本书搞明白很多来龙去脉,而不是凭空出现一个东西,一个概念。如果背景知识比较足,公式推导能很快看懂的话,应该会看得很爽。如果有建议的话,可以matlab的代码搞起,代码比公式相对简单一点。
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