An Introductory Course In Computational Neuroscience
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Author by : Paul Miller Languange Used : en Release Date : 2018-10-02 Publisher by : MIT Press ISBN : 9780262038256 File Size : 43,7 Mb Total Download : 571
A textbook for students with limited background in mathematics and computer coding, emphasizing computer tutorials that guide readers in producing models of neural behavior. This introductory text teaches students to understand, simulate, and analyze the complex behaviors of individual neurons and brain circuits. It is built around computer tutorials that guide students in producing models of neural behavior, with the associated Matlab code freely available online. From these models students learn how individual neurons function and how, when connected, neurons cooperate in a circuit. The book
Author by : Hanspeter A Mallot Languange Used : en Release Date : 2013-05-23 Publisher by : Springer Science & Business Media ISBN : 9783319008615 File Size : 41,9 Mb Total Download : 639
Computational Neuroscience - A First Course provides an essential introduction to computational neuroscience and equips readers with a fundamental understanding of modeling the nervous system at the membrane, cellular, and network level. The book, which grew out of a lecture series held regularly for more than ten years to graduate students in neuroscience with backgrounds in biology, psychology and medicine, takes its readers on a journey through three fundamental domains of computational neuroscience: membrane biophysics, systems theory and artificial neural networks. The required mathematic
Author by : Thomas Trappenberg Languange Used : en Release Date : 2010 Publisher by : Oxford University Press ISBN : 9780199568413 File Size : 53,6 Mb Total Download : 689
The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the first edition. It introduces the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain. The book covers the introduction and motivation of simplified models of neurons that are suitable for exploring information processing in large brain-like networks. Additionally, it introduces several fundamental networkarchitectures and discusses their relevance for information processing in the brain, giving some examples of models of higher-order cogn
Author by : Jianfeng Feng Languange Used : en Release Date : 2003-10-20 Publisher by : CRC Press ISBN : 9781135440466 File Size : 55,8 Mb Total Download : 438
How does the brain work? After a century of research, we still lack a coherent view of how neurons process signals and control our activities. But as the field of computational neuroscience continues to evolve, we find that it provides a theoretical foundation and a set of technological approaches that can significantly enhance our understanding.