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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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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
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Circuitry [Neural ] --- Circuits [Neural ] --- Nerve net --- Nerve network --- Nerveux [Réseau ] --- Net [Zenuw] --- Neural circuitry --- Neural circuits --- Neural networks (Computer science) --- Neurale netwerken (Informatica) --- Neurocircuitry --- Neuronal circuitry --- Réseau nerveux --- Réseaux neuraux (Informatique) --- Zenuwnet
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Different states of vigilance and various paroxysmal disorders that occur during slow-wave sleep can have the same neural bases. Conventional wisdom holds that sleep is a resting state of the brain, with negligible activity of cortical neurons. Here, the author brings new evidence favoring the idea that during this behavioral state memory traces acquired during waking are consolidated. The author focuses on the coalescence of different sleep rhythms in interacting corticothalamic networks and on three types of paroxysmal disorders, namely spike-wave seizures as in absence epilepsy, Lennox-Gastaut seizures, and temporal-lobe epilepsy. Many physiological correlates of waking and sleep states as well as diverse types of epileptic seizures are also discussed. The book has copious illustrations with examples from in vivo, in vitro and 'in computo' studies, the majority coming from the author's own laboratory. Neuronal Substrates of Sleep and Epilepsy is essential reading for neuroscientists and clinical researchers.
Sleep --- Convulsions. --- Neurons. --- Neural circuitry. --- Circuitry, Neural --- Circuits, Neural --- Nerve net --- Nerve network --- Neural circuits --- Neurocircuitry --- Neuronal circuitry --- Electrophysiology --- Nervous system --- Neural networks (Neurobiology) --- Reflexes --- Nerve cells --- Neurocytes --- Cells --- Convulsive disorders --- Convulsive seizures --- Seizures, Convulsive --- Epilepsy --- Spasms --- Physiological aspects. --- Diseases
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This work surveys 2500 years of scientific thinking about the brain from the perspective of fundamental architectural principles. It proposes a model for the basic plan of neural systems organization based on an explosion of structural data from the neuroanatomy revolution of the 1970's.
Brain. --- Neural circuitry. --- Neuroanatomy. --- Nerves --- Nervous system --- Anatomy --- Neurobiology --- Circuitry, Neural --- Circuits, Neural --- Nerve net --- Nerve network --- Neural circuits --- Neurocircuitry --- Neuronal circuitry --- Electrophysiology --- Neural networks (Neurobiology) --- Reflexes --- Cerebrum --- Mind --- Central nervous system --- Head
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This second edition volume expands on the previous edition with discussions on the latest techniques used to study synaptic transmissions. The chapters in this book are organized into six parts. Part One looks at the basic concepts, such as extracellular and intracellular recordings, and spatiotemporal effects of synaptic currents. Part Two describes the recording of synaptic currents, such as measuring kinetics of synaptic current and measuring reversal potentials. Part Three discusses basic experimentations of synaptic transmission and covers run-up and run-down, and amplitude. Parts Four and Five cover experimentations with computational components and molecular and visual components, such as measurement of a single synapse and electrophysiological and visual tags. Part Six explores in vivo recordings and talks about general considerations for in vivo exploration of synaptic plasticity. In the Neuromethods series style, chapters include the kind of detail and key advice from the specialists needed to get successful results in your laboratory. Authoritative and thorough, Electrophysiological Analysis of Synaptic Transmission, Second Edition is a valuable resource that introduces graduate students and postdoctoral fellows to important topics in this field and also expands these topics to practical electrophysiological approaches. .
Neurosciences. --- Neural circuitry. --- Neuroscience. --- Neural Circuits. --- Circuitry, Neural --- Circuits, Neural --- Nerve net --- Nerve network --- Neural circuits --- Neurocircuitry --- Neuronal circuitry --- Electrophysiology --- Nervous system --- Neural networks (Neurobiology) --- Reflexes --- Neural sciences --- Neurological sciences --- Neuroscience --- Medical sciences
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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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Mathematical control systems --- Statistical physics --- Neural circuitry --- Neural networks (Neurobiology) --- Statistical mechanics --- Réseaux neuronaux (Neurobiologie) --- Mécanique statistique --- Congresses --- Congrès --- 536.75 <063> --- -Neural networks (Neurobiology) --- -Statistical mechanics --- -Mechanics --- Mechanics, Analytic --- Quantum statistics --- Thermodynamics --- Circuitry, Neural --- Circuits, Neural --- Nerve net --- Nerve network --- Neural circuits --- Neurocircuitry --- Neuronal circuitry --- Electrophysiology --- Nervous system --- Reflexes --- Entropy. Statistical thermodynamics. Irreversible processes--Congressen --- Neural networks (Computer science) --- Mathematical models --- -Entropy. Statistical thermodynamics. Irreversible processes--Congressen --- 536.75 <063> Entropy. Statistical thermodynamics. Irreversible processes--Congressen --- -Circuitry, Neural --- Réseaux neuronaux (Neurobiologie) --- Mécanique statistique --- Congrès --- Biological neural networks --- Nets, Neural (Neurobiology) --- Networks, Neural (Neurobiology) --- Neural nets (Neurobiology) --- Cognitive neuroscience --- Neurobiology
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