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.
具體描述
讀後感
用戶評價
個人認為是計算神經方麵裏程碑一樣的教材瞭，隻是可惜一直沒有中文版，不適閤非專業讀者的進入
评分不能作為一個高水平讀者給齣評價。 computational neuroscience入門書，配閤一些video lectures+ project一起來學。
评分Zhaoping Li的教材
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
评分非常有趣！的確夠 Theoretical, 但是最後幾章描述過程的生理基礎我並不是非常懂。
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