The Computational Brain
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 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 Book
Computational Neuroscience series
About the Authors
Patricia Smith Churchland is UC President’s Professor of Philosophy at the University of California, San Diego, and Adjunct Professor at the Salk Institute.
Terrence J. Sejnowski is Francis Crick Professor, Director of the Computational Neurobiology Laboratory, and a Howard Hughes Medical Institute Investigator at the Salk Institute for Biological Studies and Professor of Biology at the University of California, San Diego.
“This attractive and well-illustrated volume falls somewhere between a trade book and a textbook, with a style well suited for the Scientific American reader, as well as the active scientist, who may know something of either computer science or neuroscience but welcomes a crisp narrative that includes the necessary background from each discipline.... The reader will be well rewarded who seeks to understand, from well-chosen examples, how to merge the analysis of neuroscientific data with the developments of computational principles.”—Michael A. Arbib, Science
“The authors have successfully integrated a number of diverse disciplines into a coherent picture of the field. The Computational Brain is a major contribution.”
—Carver Mead, Gordon and Betty Moore Professor of Computer Science, California Institute of Technology
“The Computational Brain describes the new style of brain-like computation, based on neural nets, as it applies to biological systems. It is written in a lively, readable style, assisted by many illustrations, yet it does not evade the many intellectual and computational problems involved. It is unique in viewing the subject from such a wide perspective while presenting detailed examples to illustrate the present state of the art. I strongly recommend it to all those interested in how nervous systems work, including the behavior of our own brain.”
—Francis Crick, The Salk Institute
“There is no equivalent to The Computational Brain—a unique synthesis of the fast expanding field of neural model. A rewarding experience to read.”
—J.P. Changeux, Institut Pasteur
“The Computational Brain documents a revolution now occurring in the neurosciences. For the past two centuries, the mainstream approach to brain and behavior has been biomedical, usurped from philosophers first by nineteenth-century neurologists, then by psychiatrists and behavioral psychologists, and now by neuropharmacologists and by cell and molecular biologists. Since the publication of Rumelhart and McClelland's Parallel Distributed Processing: Explorations in the Microstructure of Cognition in 1986, the current is slowly turning back to epistomologists whose central paradigm is communications and information processing. The Computational Brain presents contemporary neuroscience panoramically from this revolutionary point of view. It is essential reading for anyone interested in neuroscience, which has been called the last frontier of biology, not only because it explains the relevance of computation to neurobiology with extraordinary clarity, but also because the book shows unambiguously that both frontier and center are moving.”
—James H. Schwartz, MD, PhD, Center for Neurobiology & Behavior, Columbia University