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Deel I: Intelligentie herzien - Deel II: Veel manieren om te leren - Deel III: Techonologische en wetenschappelijke invloed

artificiële intelligentie --- kunstmatige intelligentie --- Kunstmatige intelligentie --- Artificial intelligence. Robotics. Simulation. Graphics

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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.

#TELE:MI2 --- Circuitry [Neural ] --- Circuits [Neural ] --- Nerveux [Réseau ] --- Net [Zenuw] --- Neurale netwerken (Informatica) --- Réseau nerveux --- Réseaux neuraux (Informatique) --- Zenuwnet --- Models, Neurological --- Models of computation: automata; bounded action devices; computability theory; relations among models; self-modifying machines; unbounded-action devices--See also {681.3*F41} --- Computer Simulation. --- Models, Neurological. --- 681.3*F11 Models of computation: automata; bounded action devices; computability theory; relations among models; self-modifying machines; unbounded-action devices--See also {681.3*F41} --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer architecture. Operating systems --- Brain --- Neural networks (Neurobiology) --- 681.3*F11 --- Biological neural networks --- Nets, Neural (Neurobiology) --- Networks, Neural (Neurobiology) --- Neural nets (Neurobiology) --- Cognitive neuroscience --- Neurobiology --- Neural circuitry --- Cerebrum --- Mind --- Central nervous system --- Head --- Computer simulation --- Computer Simulation --- Neurosciences --- physiology --- methods --- Neural networks (Neurobiology). --- Computer simulation. --- physiology. --- methods. --- Brain - Computer simulation. --- Neural networks (Computer science) --- Neural circuitry. --- Physiology. --- Methods. --- Brain - physiology --- Neurosciences - methods --- Brain - Computer simulation --- NEUROSCIENCE/General --- COGNITIVE SCIENCES/General

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Experts review the latest research on the neocortex and consider potential directions for future research.Over the past decade, technological advances have dramatically increased information on the structural and functional organization of the brain, especially the cerebral cortex. This explosion of data has radically expanded our ability to characterize neural circuits and intervene at increasingly higher resolutions, but it is unclear how this has informed our understanding of underlying mechanisms and processes.In search of a conceptual framework to guide future research, leading researchers address in this volume the evolution and ontogenetic development of cortical structures, the cortical connectome, and functional properties of neuronal circuits and populations. They explore what constitutes uniquely human mental capacities and whether neural solutions and computations can be shared across species or repurposed for potentially uniquely human capacities.Contributors Danielle S. Bassett, Randy M. Bruno, Elizabeth A. Buffalo, Michael E. Coulter, Hermann Cuntz, Stanislas Dehaene, James J. DiCarlo, Pascal Fries, Karl J. Friston, Asif A. Ghazanfar, Anne-Lise Giraud, Joshua I. Gold, Scott T. Grafton, Jennifer M. Groh, Elizabeth A. Grove, Saskia Haegens, Kenneth D. Harris, Kristen M. Harris, Nicholas G. Hatsopoulos, Tarik F. Haydar, Takao K. Hensch, Wieland B. Huttner, Matthias Kaschube, Gilles Laurent, David A. Leopold, Johannes Leugering, Belen Lorente-Galdos, Jason N. MacLean, David A. McCormick, Lucia Melloni, Anish Mitra, Zoltn Molnr, Sydney K. Muchnik, Pascal Nieters, Marcel Oberlaender, Bijan Pesaran, Christopher I. Petkov, Gordon Pipa, David Poeppel, Marcus E. Raichle, Pasko Rakic, John H. Reynolds, Ryan V. Raut, John L. Rubenstein, Andrew B. Schwartz, Terrence J. Sejnowski, Nenad Sestan, Debra L. Silver, Wolf Singer, Peter L. Strick, Michael P. Stryker, Mriganka Sur, Mary Elizabeth Sutherland, Maria Antonietta Tosches, William A. Tyler, Martin Vinck, Christopher A. Walsh, Perry Zurn

Neocortex. --- NEUROSCIENCE/General --- Homogenetic cortex --- Isocortex --- Laminated cortex --- Neopallium --- Nonolfactory cortex --- Cerebral cortex

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Neural networks (Computer science). --- Computer graphics.