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In Brain Arousal and Information Theory, Donald Pfaff presents a daring perspective on the long-standing puzzle of what arousal is. Pfaff argues that, beneath our mental functions and emotional dispositions, a primitive neuronal system governs arousal. Employing the simple but powerful framework of information theory, Pfaff revolutionizes our understanding of arousal systems in the brain.
Arousal (Physiology) --- Information theory --- Neurogenetics --- Neurophysiology --- Arousal --- Nerve Net --- Neurobiology --- physiology --- Information theory. --- Neurogenetics. --- Neurophysiology. --- Nervous system --- Communication theory --- Physiology --- Genetic aspects --- Genetics --- Neurosciences --- Communication --- Cybernetics --- Psychophysiology --- Arousal - physiology --- Nerve Net - physiology
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Animal psychology and neurophysiology --- Molecular neurobiology --- Cytology --- Neurons --- Nervous System --- Nerve Net. --- Neurobiology --- cytology --- methods --- cytology. --- methods.
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Neurology. --- Retina. --- Nerve Net --- Tectum Mesencephali --- Retina --- growth & development. --- physiology. --- Medicine --- Nervous system --- Neuropsychiatry --- Diseases --- Posterior segment (Eye)
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"Computational neuroscience is the theoretical study of the brain to uncover the principles and mechanisms that guide the development, organization, information processing, and mental functions of the nervous system. Although not a new area, it is only recently that enough knowledge has been gathered to establish computational neuroscience as a scientific discipline in its own right. Given the complexity of the field, and its increasing importance in progressing our understanding of how the brain works, there has long been a need for an introductory text on what is often assumed to be an impenetrable topic. The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the first edition. It introduces the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain. The book covers the introduction and motivation of simplified models of neurons that are suitable for exploring information processing in large brain-like networks. Additionally, it introduces several fundamental network architectures and discusses their relevance for information processing in the brain, giving some examples of models of higher-order cognitive functions to demonstrate the advanced insight that can be gained with such studies. Each chapter starts by introducing its topic with experimental facts and conceptual questions related to the study of brain function. An additional feature is the inclusion of simple Matlab programs that can be used to explore many of the mechanisms explained in the book. An accompanying webpage includes programs for download. The book is aimed at those within the brain and cognitive sciences, from graduate level and upwards"--Provided by publisher.
Computational neuroscience. --- Computational neurosciences --- Computational biology --- Neurosciences --- Neurosciences informatiques --- Brain --- Computational Biology --- Models, Neurological. --- Nerve Net. --- Neurons --- Physiology. --- Methods.
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Neural networks (Computer science) --- Neural circuitry --- Artificial intelligence --- Circuitry, Neural --- Circuits, Neural --- Nerve net --- Nerve network --- Neural circuits --- Neurocircuitry --- Neuronal circuitry --- Electrophysiology --- Nervous system --- Neural networks (Neurobiology) --- Reflexes
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Neurocircuitry of Addiction focuses on common neural circuits that underly the effects of addictive substances, providing a more holistic view of how these agents produce their effects. This book is organized by brain circuits and their role in addiction, including ventral tegmental area (VTA) circuits, striatal circuits, prefrontal cortical (PFC) circuits, extended amygdala circuits, neuroendocrine circuits, and circadian circuits. It includes a foreword by renowned experts Dr. George Koob (Director of the National Institute of Alcohol Abuse and Alcoholism ) and Dr. Nora Volkow (the Director of the National Institute of Drug Abuse).According to the Substance Abuse and Mental Health Services of America, approximately, 21 million Americans are addicted to at least one substance, and about 20% of Americans who have been diagnosed with depression or anxiety disorder also have substance use disorder.--
Neural circuitry. --- Circuitry, Neural --- Circuits, Neural --- Nerve net --- Nerve network --- Neural circuits --- Neurocircuitry --- Neuronal circuitry --- Electrophysiology --- Nervous system --- Neural networks (Neurobiology) --- Reflexes
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Cerebral Cortex --- Frontal Lobe --- Magnetic Resonance Imaging --- Nerve Net --- Visual Perception --- Visual Cortex --- Motion Perception --- physiology --- physiology --- physiology --- physiology --- physiology --- physiology
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Developmental psychology --- Circuitry [Neural ] --- Circuits [Neural ] --- Nerve net --- Nerve network --- Nerveux [Réseau ] --- Net [Zenuw] --- Neural circuitry --- Neural circuits --- Neural computers --- Neurale computers --- Neurocircuitry --- Neuronal circuitry --- Ordinateurs neuraux --- Réseau nerveux --- Zenuwnet --- Brain --- Computer simulation --- Brain - Computer simulation. --- Neural circuitry. --- Neural computers.
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Physiology of nerves and sense organs --- Brain --- Brein --- Cerebrum --- Cerveau --- Circuitry [Neural ] --- Circuits [Neural ] --- Hersenen --- Mind --- Nerve net --- Nerve network --- Nerveux [Réseau ] --- Net [Zenuw] --- Neural circuitry --- Neural circuits --- Neurocircuitry --- Neuronal circuitry --- Réseau nerveux --- Synapsen --- Synapses --- Zenuwnet --- Brain. --- Synapses. --- Neural circuitry.
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Activite nerveuse superieure --- Circuitry [Neural ] --- Circuits [Neural ] --- Higher nervous activity --- Nerve net --- Nerve network --- Nerveux [Réseau ] --- Net [Zenuw] --- Neural circuitry --- Neural circuits --- Neurocircuitry --- Neuronal circuitry --- Réseau nerveux --- Zenuwen -- Hogere activiteit --- Zenuwnet --- Computers --- Circuits