Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems (Computational Neuroscience Series)
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.
yazar | Peter Dayan |
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21,6 x 2 x 27,9 cm 5 Ocak 2017 18 Kasım 2020 20 Kasım 2020 Lina Scatia 13 Şubat 2020 Kolektif 15 x 0,4 x 22 cm Prof Philip M. Parker Ph.D. 15,2 x 0,6 x 22,9 cm Vismont Studios Maya Violet 21 Ocak 2019 3 Ocak 2017 1 x 15 x 21 cm 21,6 x 1,7 x 27,9 cm 21,6 x 1,9 x 27,9 cm Philip M. Parker Ph.D
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Sürüm ayrıntıları
yazar Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems (Computational Neuroscience Series) | Peter Dayan Terrence J. Sejnowski Tomaso A. Poggio |
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