An anniversary edition of the classic work that influenced a generation of neuroscientists and cognitive neuroscientists.
Before The Computational Brain was published in 1992, conceptual frameworks for brain function were based on the behavior of single neurons, applied globally. In The Computational Brain, Patricia Churchland and Terrence Sejnowski developed a different conceptual framework, based on large populations of neurons. They did this by showing that patterns of activities among the units in trained artificial neural network models had properties that resembled those recorded from populations of neurons recorded one at a time. It is one of the first books to bring together computational concepts and behavioral data within a neurobiological framework. Aimed at a broad audience of neuroscientists, computer scientists, cognitive scientists, and philosophers, The Computational Brain is written for both expert and novice. This anniversary edition offers a new preface by the authors that puts the book in the context of current research.
This approach influenced a generation of researchers. Even today, when neuroscientists can routinely record from hundreds of neurons using optics rather than electricity, and the 2013 White House BRAIN initiative heralded a new era in innovative neurotechnologies, the main message of The Computational Brain is still relevant.
"synopsis" may belong to another edition of this title.
Patricia S. Churchland is President's Professor of Philosophy Emerita at the University of California, San Diego, and Adjunct Professor at the Salk Institute for Biological Sciences. She is the author of many books, including Neurophilosophy and Brain-Wise (both published by the MIT Press).
Terrence J. Sejnowski holds the Francis Crick Chair at the Salk Institute for Biological Studies and is a Distinguished Professor at the University of California, San Diego. He was a member of the advisory committee for the Obama administration's BRAIN initiative and is President of the Neural Information Processing (NIPS) Foundation. He is the author of The Deep Learning Revolution (MIT Press) and other books.
"About this title" may belong to another edition of this title.
US$ 3.75 shipping within U.S.A.
Destination, rates & speedsSeller: HPB-Red, Dallas, TX, U.S.A.
Paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Seller Inventory # S_437871524
Quantity: 1 available
Seller: Bellwetherbooks, McKeesport, PA, U.S.A.
paperback. Condition: Fine. LIKE NEW!!! Has a red or black remainder mark on bottom/exterior edge of pages. Seller Inventory # MIT-PB-LN-0262533391
Quantity: 1 available
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 568. Seller Inventory # 26375762485
Quantity: 3 available
Seller: INDOO, Avenel, NJ, U.S.A.
Condition: As New. Unread copy in mint condition. Seller Inventory # RH9780262533393
Quantity: Over 20 available
Seller: INDOO, Avenel, NJ, U.S.A.
Condition: New. Brand New. Seller Inventory # 9780262533393
Quantity: Over 20 available
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New. Seller Inventory # 27874822-n
Quantity: 2 available
Seller: Grand Eagle Retail, Mason, OH, U.S.A.
Paperback. Condition: new. Paperback. An anniversary edition of the classic work that influenced a generation of neuroscientists and cognitive neuroscientists.Before The Computational Brain was published in 1992, conceptual frameworks for brain function were based on the behavior of single neurons, applied globally. In The Computational Brain, Patricia Churchland and Terrence Sejnowski developed a different conceptual framework, based on large populations of neurons. They did this by showing that patterns of activities among the units in trained artificial neural network models had properties that resembled those recorded from populations of neurons recorded one at a time. It is one of the first books to bring together computational concepts and behavioral data within a neurobiological framework. Aimed at a broad audience of neuroscientists, computer scientists, cognitive scientists, and philosophers, The Computational Brain is written for both expert and novice. This anniversary edition offers a new preface by the authors that puts the book in the context of current research.This approach influenced a generation of researchers. Even today, when neuroscientists can routinely record from hundreds of neurons using optics rather than electricity, and the 2013 White House BRAIN initiative heralded a new era in innovative neurotechnologies, the main message of The Computational Brain is still relevant. An anniversary edition of the classic work that influenced a generation of neuroscientists and cognitive neuroscientists. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780262533393
Quantity: 1 available
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition. Seller Inventory # 27874822
Quantity: 2 available
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. pp. 568. Seller Inventory # 370282986
Quantity: 1 available
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.
Paperback. Condition: New. 25th Anniversary Edition. Seller Inventory # LU-9780262533393
Quantity: Over 20 available