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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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Fysiologie [Neuro] --- Modellen [Neurologische ] --- Models [Neurological ] --- Modèles neurologiques --- Nervous system--Physiology --- Neurale netwerken (Informatica) --- Physiology [Neuro] --- Réseaux neuraux (Informatique) --- Models, Neurological --- Nervalous System --- Ordinateurs neuronaux --- Models, Neurological. --- Brain --- Neural computers --- Neural networks (Computer science) --- Cerveau --- Réseaux neuronaux (Informatique) --- physiology --- Computer simulation --- Simulation par ordinateur --- Nervous System Physiological Phenomena. --- #TELE:SISTA --- Nervous System Physiological Concepts --- Nervous System Physiological Phenomenon --- Nervous System Physiological Process --- Physiology, Nervous System --- Nervous System Physiologic Processes --- Nervous System Physiological Processes --- Nervous System Physiology --- System Physiology, Nervous --- Nervous System --- Model, Neurological --- Neurologic Model --- Neurological Model --- Neurological Models --- Neurologic Models --- Model, Neurologic --- Models, Neurologic --- Neurophysiology --- Brain - Computer simulation. --- Neural computers. --- Nervous System - physiology. --- Nervous System Physiological Phenomena

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Foreword by Walter J. Freeman. The induction of unconsciousness using anesthetic drugs demonstrates that the cerebral cortex can operate in two very different modes: alert and responsive versus unaware and quiescent. But the states of wakefulness and sleep are not single-neuron properties---they emerge as bulk properties of cooperating populations of neurons, with the switchover between states being similar to the physical change of phase observed when water freezes or ice melts. Some brain-state transitions, such as sleep cycling, anesthetic induction, epileptic seizure, are obvious and detected readily with a few EEG electrodes; others, such as the emergence of gamma rhythms during cognition, or the ultra-slow BOLD rhythms of relaxed free-association, are much more subtle. The unifying theme of this book is the notion that all of these bulk changes in brain behavior can be treated as phase transitions between distinct brain states. "Modeling Phase Transitions in the Brain" contains chapter contributions from leading researchers who apply state-space methods, network models, and biophysically-motivated continuum approaches to investigate a range of neuroscientifically relevant problems that include analysis of nonstationary EEG time-series; network topologies that limit epileptic spreading; saddle--node bifurcations for anesthesia, sleep-cycling, and the wake--sleep switch; prediction of dynamical and noise-induced spatiotemporal instabilities underlying BOLD, alpha-, and gamma-band EEG oscillations, gap-junction-moderated Turing structures, and Hopf--Turing interactions leading to cortical waves. Written for: Researchers, clinicians, physicians, neurologists About the editors: Alistair Steyn-Ross and Moira Steyn-Ross are computational and theoretical physicists in the Department of Engineering, University of Waikato, New Zealand. They share a long-standing interest in the application of physics-based methods to gain insight into the emergent behavior of complex biological systems such as single neurons and interacting neural populations.

Brain. --- Brain -- Computer simulation. --- Brain --- Physical Processes --- Cognition --- Nervous System Physiological Processes --- Psychophysiology --- Central Nervous System --- Diagnostic Imaging --- Physicochemical Processes --- Diagnostic Techniques, Neurological --- Models, Theoretical --- Investigative Techniques --- Phase Transition --- Brain Mapping --- Models, Psychological --- Consciousness --- Sleep --- Nervous System Physiological Phenomena --- Chemical Processes --- Diagnostic Techniques and Procedures --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Physical Phenomena --- Psychological Phenomena and Processes --- Nervous System --- Mental Processes --- Physicochemical Phenomena --- Psychiatry and Psychology --- Chemical Phenomena --- Musculoskeletal and Neural Physiological Phenomena --- Diagnosis --- Phenomena and Processes --- Anatomy --- Human Anatomy & Physiology --- Medicine --- Neurology --- Neuroscience --- Health & Biological Sciences --- Computer simulation --- Neurophysiology. --- Computer simulation. --- Nervous system --- Cerebrum --- Mind --- Physiology --- Medicine. --- Neurosciences. --- Anesthesiology. --- Neurology. --- Bioinformatics. --- Computational biology. --- Neurobiology. --- Medicine & Public Health. --- Computer Appl. in Life Sciences. --- Neurobiology --- Central nervous system --- Head --- Biology --- Data processing. --- Neurosciences --- Anaesthesiology --- Surgery --- Neural sciences --- Neurological sciences --- Medical sciences --- Neuropsychiatry --- Diseases --- Neurology . --- Bioinformatics . --- Computational biology . --- Bioinformatics --- Bio-informatics --- Biological informatics --- Information science --- Computational biology --- Systems biology --- Data processing

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The hippocampus plays an indispensable role in the formation of new memories in the mammalian brain. It is the focus of intense research and our understanding of its physiology, anatomy, and molecular structure has rapidly expanded in recent years. Yet, still much needs to be done to decipher how hippocampal microcircuits are built and function. Here, we present an overview of our current knowledge and a snapshot of ongoing research into these microcircuits. Rich in detail, Hippocampal Microcircuits: A Computational Modeler’s Resource Book provides focused and easily accessible reviews on various aspects of the theme. It is an unparalleled resource of information, including both data and techniques that will be an invaluable companion to all those wishing to develop computational models of hippocampal neurons and neuronal networks. The book is divided into two main parts. In the first part, leading experimental neuroscientists discuss data on the electrophysiological, neuroanatomical, and molecular characteristics of hippocampal circuits. The various types of excitatory and inhibitory neurons are reviewed along with their connectivity and synaptic properties. Single cell and ensemble activity patterns are presented from in vitro models, as well as anesthetized and freely moving animals. In the second part, computational neuroscientists describe models of hippocampal microcircuits at various levels of complexity, from single neurons to large-scale networks. Additionally, a chapter is devoted to simulation environments currently used by computational neuroscientists in developing their models. In addition to providing concise reviews and a wealth of data, the chapters also identify central questions and unexplored areas that will define future research in computational neuroscience. About the Editors: Dr. Vassilis Cutsuridis is a Research Fellow in the Department of Computing Science and Mathematics at the University of Stirling, Scotland, UK. Dr. Bruce P. Graham is a Reader in Computing Science in the Department of Computing Science and Mathematics at the University of Stirling. Dr. Stuart Cobb and Dr. Imre Vida are Senior Lecturers in the Neuroscience and Molecular Pharmacology Department at the University of Glasgow, Scotland, UK.

Hippocampus (Brain) -- Computer simulation. --- Neural networks (Neurobiology) -- Computer simulation. --- Hippocampus (Brain) --- Neural networks (Neurobiology) --- Nervous System --- Electrophysiological Processes --- Signal Transduction --- Computing Methodologies --- Limbic System --- Biological Science Disciplines --- Cerebral Cortex --- Models, Biological --- Nervous System Physiological Processes --- Synaptic Transmission --- Physiology --- Computer Simulation --- Nerve Net --- Models, Neurological --- Hippocampus --- Neural Pathways --- Biochemical Processes --- Nervous System Physiological Phenomena --- Cerebrum --- Electrophysiological Phenomena --- Physiological Processes --- Anatomy --- Models, Theoretical --- Cell Physiological Processes --- Brain --- Information Science --- Natural Science Disciplines --- Chemical Processes --- Physiological Phenomena --- Disciplines and Occupations --- Biochemical Phenomena --- Central Nervous System --- Cell Physiological Phenomena --- Investigative Techniques --- Telencephalon --- Musculoskeletal and Neural Physiological Phenomena --- Chemical Phenomena --- Phenomena and Processes --- Prosencephalon --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Human Anatomy & Physiology --- Medicine --- Neurology --- Neuroscience --- Health & Biological Sciences --- Computer simulation --- Computer simulation. --- Biological neural networks --- Nets, Neural (Neurobiology) --- Networks, Neural (Neurobiology) --- Neural nets (Neurobiology) --- Ammon's horn --- Cornu ammonis --- Medicine. --- Neurosciences. --- Bioinformatics. --- Computational biology. --- Neurobiology. --- Biomedicine. --- Computer Appl. in Life Sciences. --- Neurosciences --- Biology --- Bioinformatics --- Bio-informatics --- Biological informatics --- Information science --- Computational biology --- Systems biology --- Neural sciences --- Neurological sciences --- Medical sciences --- Nervous system --- Clinical sciences --- Medical profession --- Human biology --- Life sciences --- Pathology --- Physicians --- Data processing --- Cognitive neuroscience --- Neurobiology --- Neural circuitry --- Cerebral cortex --- Limbic system --- Data processing. --- Bioinformatics . --- Computational biology .

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Can psychoanalysis offer a new computer model? Can computer designers help psychoanalysts to understand their theory better?In contemporary publications human psyche is often related to neural networks. Why? The wiring in computers can also be related to application software. But does this really make sense? Artificial Intelligence has tried to implement functions of human psyche. The reached achievements are remarkable; however, the goal to get a functional model of the mental apparatus was not reached. Was the selected direction incorrect?The editors are convinced: yes, and they try to give answers here. If one accepts that the brain is an information processing system, then one also has to accept that computer theories can be applied to the brain’s functions, the human mental apparatus. The contributors of this book - Solms, Panksepp, Sloman and many others who are all experts in computer design, psychoanalysis and neurology are united in one goal: finding synergy in their interdisciplinary fields.

Artificial intelligence. --- Brain --Computer simulation. --- Neural networks (Computer science). --- Neural networks (Neurobiology). --- Artificial intelligence --- Neural networks (Neurobiology) --- Neural networks (Computer science) --- Brain --- Computer Science --- Mechanical Engineering - General --- Mechanical Engineering --- Engineering & Applied Sciences --- Computer simulation --- Information Technology --- Artificial Intelligence --- Computer simulation. --- Biological neural networks --- Nets, Neural (Neurobiology) --- Networks, Neural (Neurobiology) --- Neural nets (Neurobiology) --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Cerebrum --- Mind --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Computer science. --- Psychoanalysis. --- User interfaces (Computer systems). --- Control engineering. --- Robotics. --- Mechatronics. --- Neuropsychology. --- Cognitive psychology. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Control, Robotics, Mechatronics. --- Cognitive Psychology. --- User Interfaces and Human Computer Interaction. --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Cognitive neuroscience --- Neurobiology --- Neural circuitry --- Natural computation --- Soft computing --- Central nervous system --- Head --- Psychology, clinical. --- Consciousness. --- Artificial Intelligence. --- Informatics --- Science --- Apperception --- Mind and body --- Perception --- Philosophy --- Psychology --- Spirit --- Self --- Psychology, Pathological --- Interfaces, User (Computer systems) --- Human-machine systems --- Human-computer interaction --- Psychology, Cognitive --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Automation --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers --- Neurophysiology --- Psychophysiology