具體描述
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.
用戶評價
##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
評分##計算神經學課本，書的主頁裏可以免費下載練習題用的data和code
評分 評分##沒有整本書看，裏麵涉及到瞭很多統計物理方麵的知識，看不太懂。這本書寫的很first principle，你能通過這本書搞明白很多來龍去脈，而不是憑空齣現一個東西，一個概念。如果背景知識比較足，公式推導能很快看懂的話，應該會看得很爽。如果有建議的話，可以matlab的代碼搞起，代碼比公式相對簡單一點。
評分##讀過/假裝讀過/反正不久後要認真讀
評分##教材
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