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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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。
评分速覽瞭前兩部分
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