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.
个人认为是计算神经方面里程碑一样的教材了,只是可惜一直没有中文版,不适合非专业读者的进入
评分没有整本书看,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。
评分计算神经学课本,书的主页里可以免费下载练习题用的data和code
评分计算神经学课本,书的主页里可以免费下载练习题用的data和code
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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