The Computational Brain (Computational Neuroscience)

 The Computational Brain (Computational Neuroscience) PDF Text fb2 ebook

Churchland and Sejnowski address the foundational ideas of the emerging field of computational neuroscience, examine a diverse range of neural network models, and consider future directions of the field.How do groups of neurons interact to enable the organism to see, decide, and move appropriately? What are the principles whereby networks of neurons represent and compute? These are the central que...

Series: Computational Neuroscience Series
Paperback: 560 pages
Publisher: A Bradford Book; Reprint edition (February 3, 1994)
Language: English
ISBN-10: 0262531208
ISBN-13: 978-0262531207
Product Dimensions: 6.9 x 1.3 x 9.8 inches
Amazon Rank: 1301336
Format: PDF ePub fb2 djvu book

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I bought this book in 1995 and read it cover-to-cover in 2009. It is an enormously valuable tour of many neuroscience topics, but the general (reasonably sophisticated) non-specialist reader must be tolerant of the very numerous gaps and discontinuit...



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ed by The Computational Brain. Churchland and Sejnowski address the foundational ideas of the emerging field of computational neuroscience, examine a diverse range of neural network models, and consider future directions of the field. The Computational Brain is the first unified and broadly accessible book to bring together computational concepts and behavioral data within a neurobiological framework.Computer models constrained by neurobiological data can help reveal how -- networks of neurons subserve perception and behavior -- bow their physical interactions can yield global results in perception and behavior, and how their physical properties are used to code information and compute solutions. The Computational Brain focuses mainly on three domains: visual perception, learning and memory, and sensorimotor integration. Examples of recent computer models in these domains are discussed in detail, highlighting strengths and weaknesses, and extracting principles applicable to other domains. Churchland and Sejnowski show how both abstract models and neurobiologically realistic models can have useful roles in computational neuroscience, and they predict the coevolution of models and experiments at many levels of organization, from the neuron to the system.The Computational Brain addresses a broad audience: neuroscientists, computer scientists, cognitive scientists, and philosophers. It is written for both the expert and novice. A basic overview of neuroscience and computational theory is provided, followed by a study of some of the most recent and sophisticated modeling work in the context of relevant neurobiological research. Technical terms are clearly explained in the text, and definitions are provided in an extensive glossary. The appendix contains a précis of neurobiological techniques.The Computational Brain is the first unified and broadly accessible book to bring together computational concepts and behavioral data within a neurobiological framework. Churchland and Sejnowski address the foundational ideas of the emerging field of computational neuroscience, examine a diverse range of neural network models, and consider future directions of the field.A Bradford BookComputational Neuroscience series