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.
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就算開始瞭,數學仙英語仙牙仙都保佑我。。
评分大眼老師的經典著作
评分速覽瞭前兩部分
评分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
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