Title
The Computational Brain (Computational Neuroscience)
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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 Bythe 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 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 theme of 'The Computational Brain'? A: 'The Computational Brain' explores how groups of neurons interact to enable vision, decision-making, and movement, focusing on computational neuroscience principles.
- Q: Who are the authors of this book? A: The book is authored by Patricia Smith Churchland and Terrence J. Sejnowski, both prominent figures in the field of neuroscience.
- Q: What topics are covered in this book? A: The book covers visual perception, learning and memory, and sensorimotor integration, with discussions on neural network models and their applications.
- Q: Is this book suitable for beginners in neuroscience? A: Yes, 'The Computational Brain' 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 560 pages, offering a comprehensive exploration of its subject matter.
- Q: What is the binding type of this book? A: The book is available in hardcover binding, which is durable and suitable for long-term use.
- Q: When was 'The Computational Brain' published? A: 'The Computational Brain' was published on June 12, 1992.
- Q: Does the book include a glossary? A: Yes, the book includes an extensive glossary that defines technical terms used throughout the text.
- Q: In what series is 'The Computational Brain' included? A: 'The Computational Brain' is part of the Computational Neuroscience series published by Bradford Books.
- Q: What can I expect from the appendix of the book? A: The appendix contains a précis of neurobiological techniques relevant to the discussions in the book.