《理论神经科学:神经系统的计算与数学模型》(Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems)[压缩包]

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[理论神经科学神经系统的计算与数学模型].Theoretical.Neuroscience.zip	16.29 MB
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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. (转自amazon)
理论神经科学为描述神经系统做了什么，决定它们如何起作用以及揭示其工作的本质原理提供了定量研究的基础。本书介绍了理论神经科学中基本的数学和计算方法，并提供了其在诸多领域中的应用，包括视觉，感知-运动整合，发育，学习以及记忆。
本书分为三部分。第一部分讨论了感官刺激和神经反应的联系，着重于信息通过神经元脉冲发放的表达。第二部分讨论了以细胞和突触生物物理学为基础的，对于神经元和神经网络的建模。第三部分分析了可塑性在发育及学习中的作用。附录涵盖了所有用到的数学方法，同时本书的网页上提供了习题。