The Computational Brain (Computational Neuroscience Series)

**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. 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. 5 Plasticity: Cells, Circuits, Brains, and Behavior -- Introduction -- Learning and the Hippocampus -- Donald Hebb and Synaptic Plasticity -- Memories are Made of This: Mechanisms of Neuronal Plasticity -- Cells and Circuits -- Decreasing Synaptic Strength -- Back to Systems and Behavior -- Being and Timing -- Development of Nervous Systems -- Modules and Networks -- 6 Sensorimotor Integration -- Introduction -- LeechNet -- Computation and the Vestibulo-Ocular Reflex -- Time and Time Again -- The Segmental Swimming Oscillator -- Modeling the Neuron -- Concluding Remarks -- 7 Concluding and Beyond What Good Are Optimization Procedures to Neuroscience? -- Models: Realistic and Abstract -- Concluding Remarks -- 4 Representing the World -- Introduction -- Constructing a Visual World -- Thumbnail Sketch of the Mammalian Visual System -- Representing in The Brain: What Can We Learn From the Visual System? -- What Is So Special About Distribution? -- World Enough and Time -- Shape From Shading: A Neurocomputational Study -- Stereo Vision -- Computational Models of Stereo Vision -- Hyperacuity: From Mystery to Mechanism -- Vector Averaging -- Concluding Remarks Afterword -- Appendix: Anatomical and Physiological Techniques -- Permanent Lesions -- Reversible Lesions and Microlesions -- Imagine Techniques -- Gross Electrical and Magnetic Recording -- Single-Unit Recording -- Anatomical Tract Tracing -- Notes -- Glossary -- References -- Index Patricia S. Churchland And Terrence J. Sejnowski. Includes Bibliographical References And Index. Mode Of Access: World Wide Web.