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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

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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.-- People use drugs for many different reasons, including the pursuit of "high," social factors and self-medication of other conditions. Many millions of people are addicted to at least one substance, and the cost of addiction is immense, at both the individual and societal levels. Neurocircuitry of Addiction is the first book of its kind, with a focus on addiction neuroscience from a neural circuit perspective. This book begins with a primer on circuit-based neuroscience that equips the reader with an understanding of the applications described throughout the book. Each subsequent chapter positions a different brain region at the "center" of addiction neurocircuitry and goes on to describe the anatomical connectivity of that brain region, how those circuits are affected by drug exposure, and the role of those circuits in controlling addiction-related behaviors. All chapters of this book are written by content experts for a target audience that has some basic neuroscience background, but no prior in-depth knowledge regarding the neurocircuitry of addiction.

Neural circuitry. --- Circuitry, Neural --- Circuits, Neural --- Nerve net --- Nerve network --- Neural circuits --- Neurocircuitry --- Neuronal circuitry --- Electrophysiology --- Nervous system --- Neural networks (Neurobiology) --- Reflexes --- Substance abuse --- Nerve Net --- Brain --- Substance-Related Disorders --- Physiological aspects. --- drug effects --- physiopathology

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This timely overview and synthesis of recent work in both artificial neural networks and neurobiology seeks to examine neurobiological data from a network perspective and to encourage neuroscientists to participate in constructing the next generation of neural networks. Individual chapters were commissioned from selected authors to bridge the gap between present neural network models and the needs of neurophysiologists who are trying to use these models as part of their research on how the brain works.Daniel Gardner is Professor of Physiology and Biophysics at Cornell University Medical College.Contents: Introduction: Toward Neural Neural Networks, Daniel Gardner. Two Principles of Brain Organization: A Challenge for Artificial Neural Networks, Charles F. Stevens. Static Determinants of Synaptic Strength, Daniel Gardner. Learning Rules From Neurobiology, Douglas A. Baxter and John H. Byrne. Realistic Network Models of Distributed Processing in the Leech, Shawn R. Lockery and Terrence J. Sejnowski. Neural and Peripheral Dynamics as Determinants of Patterned Motor Behavior, Hillel J. Chiel and Randall D. Beer. Dynamic Neural Network Models of Sensorimotor Behavior, Eberhard E. Fetz.

Biologie [Neuro] --- Circuitry [Neural ] --- Circuits [Neural ] --- Nerve net --- Nerve network --- Nerveux [Réseau ] --- Net [Zenuw] --- Neural circuitry --- Neural circuits --- Neural networks (Computer science) --- Neurale netwerken (Informatica) --- Neurobiologie --- Neurobiology --- Neurocircuitry --- Neuronal circuitry --- Réseau nerveux --- Réseaux neuraux (Informatique) --- Zenuwnet --- Réseaux nerveux --- Réseaux neuronaux (Informatique) --- Réseaux nerveux --- Réseaux neuronaux (Informatique) --- Neural circuitry. --- Neurobiology. --- Neurosciences --- Circuitry, Neural --- Circuits, Neural --- Electrophysiology --- Nervous system --- Neural networks (Neurobiology) --- Reflexes --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Artificial intelligence --- Natural computation --- Soft computing --- NEUROSCIENCE/General

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This book offers representative examples from fly and mouse models to illustrate the ongoing success of the synergistic, state-of-the-art strategy, focusing on the ways it enhances our understanding of sensory processing. The authors focus on sensory systems (vision, olfaction), which are particularly powerful models for probing the development, connectivity, and function of neural circuits, to answer this question: How do individual nerve cells functionally cooperate to guide behavioral responses? Two genetically tractable species, mice and flies, together significantly further our understanding of these processes. Current efforts focus on integrating knowledge gained from three interrelated fields of research: (1) understanding how the fates of different cell types are specified during development, (2) revealing the synaptic connections between identified cell types (“connectomics”) using high-resolution three-dimensional circuit anatomy, and (3) causal testing of how iden tified circuit elements contribute to visual perception and behavior.

Medicine. --- Human genetics. --- Neurosciences. --- Cell biology. --- Biomedicine. --- Human Genetics. --- Cell Biology. --- Neuroanatomy. --- Neural circuitry. --- Circuitry, Neural --- Circuits, Neural --- Nerve net --- Nerve network --- Neural circuits --- Neurocircuitry --- Neuronal circuitry --- Electrophysiology --- Nervous system --- Neural networks (Neurobiology) --- Reflexes --- Nerves --- Anatomy --- Neurobiology --- Cytology. --- Cell biology --- Cellular biology --- Biology --- Cells --- Cytologists --- Genetics --- Heredity, Human --- Human biology --- Physical anthropology --- Neural sciences --- Neurological sciences --- Neuroscience --- Medical sciences

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Neural networks (Neurobiology) --- Neural circuitry. --- Visual pathways. --- Visual system --- Afferent pathways --- Vision --- Circuitry, Neural --- Circuits, Neural --- Nerve net --- Nerve network --- Neural circuits --- Neurocircuitry --- Neuronal circuitry --- Electrophysiology --- Nervous system --- Reflexes --- Biological neural networks --- Nets, Neural (Neurobiology) --- Networks, Neural (Neurobiology) --- Neural nets (Neurobiology) --- Cognitive neuroscience --- Neurobiology --- Neural circuitry