具体描述
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.
用户评价
##好书，当年读的我抱头痛哭。还是Zhaoping的 Understanding Vision更让人轻松一些。
评分##听说2020有新版了？
评分##Zhaoping Li的教材
评分##对recurrency的讨论挺有意思
评分##读过/假装读过/反正不久后要认真读
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。
评分##好书，当年读的我抱头痛哭。还是Zhaoping的 Understanding Vision更让人轻松一些。
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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