The Computational Brain (Computational Neuroscience),Used

The Computational Brain (Computational Neuroscience),Used

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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 questions probed 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 hownetworks of neurons subserve perception and behaviorbow 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 prcis 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

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  • Q: What is the main focus of 'The Computational Brain'? A: The main focus of 'The Computational Brain' is to explore the foundational ideas of computational neuroscience, examining how groups of neurons interact to support perception, decision-making, and movement.
  • Q: Who are the authors of this book? A: 'The Computational Brain' is authored by Patricia Smith Churchland and Terrence J. Sejnowski, both of whom are prominent figures in neuroscience.
  • Q: What topics are covered in the book? A: The book covers topics such as visual perception, learning and memory, and sensorimotor integration, along with a diverse range of neural network models.
  • Q: Is this book suitable for beginners in neuroscience? A: Yes, the book is written for both experts and novices, providing a basic overview of neuroscience and computational theory.
  • Q: How many pages does 'The Computational Brain' have? A: 'The Computational Brain' contains a total of 560 pages.
  • Q: What is the binding type of this book? A: The book is available in a paperback binding.
  • Q: When was 'The Computational Brain' published? A: 'The Computational Brain' was published on February 3, 1994.
  • Q: What kind of glossary does the book provide? A: The book includes an extensive glossary that clearly explains technical terms used throughout the text.
  • Q: Are there any examples of neural network models discussed in the book? A: Yes, the book discusses recent computer models in various domains, highlighting their strengths and weaknesses.
  • Q: What series is 'The Computational Brain' a part of? A: 'The Computational Brain' is a part of the Bradford Books series in Computational Neuroscience.

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