PATRICIA S. CHURCHLAND / SEJNOWSKI, TERRENCE
u003cbu003eAn anniversary edition of the classic work that influenced a generation of neuroscientists and cognitive neuroscientists.u003c/bu003eu003cpu003eBefore u003ciu003eThe Computational Brainu003c/iu003e was published in 1992, conceptual frameworks for brain function were based on the behavior of single neurons, applied globally. In u003ciu003eThe Computational Brain,u003c/iu003e 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, u003ciu003eThe Computational Brainu003c/iu003e 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.u003c/pu003eu003cpu003eThis 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 u003ciu003eThe Computational Brain u003c/iu003eis still relevant.u003c/pu003e
