具体描述
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.
用户评价
##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。
评分##gross read, to be refined, with https://www.coursera.org/course/compneuro # let applied mathematics, statistical physics, and other theory-intensed branches in computational science to amend those pragmatic slips of CS
评分##对recurrency的讨论挺有意思
评分##没能读完，太艰难了……等我长大点儿再读吧。。。还要吐槽一点的是我在清华旁听的用此书作课本的大神是此书作者的夫人……
评分##没能读完，太艰难了……等我长大点儿再读吧。。。还要吐槽一点的是我在清华旁听的用此书作课本的大神是此书作者的夫人……
评分##前辈说看书是不够的 T.T 题也要刷的T.T = =
评分##非常有趣！的确够 Theoretical, 但是最后几章描述过程的生理基础我并不是非常懂。
评分##深入浅出，非常喜欢。
评分##不能作为一个高水平读者给出评价。 computational neuroscience入门书，配合一些video lectures+ project一起来学。
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