Computational Neuroscience of Drug Addiction

Computational Neuroscience of Drug Addiction

Author: Boris Gutkin

Publisher: Springer Science & Business Media

Published: 2011-10-27

Total Pages: 345

ISBN-13: 1461407516

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Drug addiction remains one of the most important public health problems in western societies and is a rising concern for developing nations. Over the past 3 decades, experimental research on the neurobiology and psychology of drug addiction has generated a torrent of exciting data, from the molecular up to the behavioral levels. As a result, a new and pressing challenge for addiction research is to formulate a synthetic theoretical framework that goes well beyond mere scientific eclectism to deepen our understanding of drug addiction and to foster our capacity to prevent and to cure drug addiction. Intrigued by the apparent irrational behavior of drug addicts, researchers from a wide range of scientific disciplines have formulated a plethora of theoretical schemes over the years to understand addiction. However, most of these theories and models are qualitative in nature and are formulated using terms that are often ill-defined. As a result, the empirical validity of these models has been difficult to test rigorously, which has served to generate more controversy than clarity. In this context, as in other scientific fields, mathematical and computational modeling should contribute to the development of more testable and rigorous models of addiction.


Cognitive, Clinical, and Neural Aspects of Drug Addiction

Cognitive, Clinical, and Neural Aspects of Drug Addiction

Author: Ahmed Moustafa

Publisher: Academic Press

Published: 2020-01-16

Total Pages: 340

ISBN-13: 0128169796

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Drug addictions are often difficult to treat. The most successful treatments begin with studying why individuals become addicted to drugs and how to change their thinking and behaviour. Cognitive, Clinical, and Neural Aspects of Drug Addiction focuses on the theories that cause drug addiction, including avoidance behavior, self-medication, reward sensitization, behavioral inhibition and impulsivity. Dr. Moustafa takes this book one step further by reviewing the psychological and neural causes of relapse including the role of stress, anxiety and depression. By examining both the causes of drug addiction and relapse, this book will help clinicians create individualized treatment options for patients suffering from drug addiction.


Neural Mechanisms of Addiction

Neural Mechanisms of Addiction

Author: Mary Torregrossa

Publisher: Academic Press

Published: 2018-08-24

Total Pages: 308

ISBN-13: 0128123311

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Neural Mechanisms of Addiction is the only book available that synthesizes the latest research in the field into a single, accessible resource covering all aspects of how addiction develops and persists in the brain. The book summarizes our most recent understanding on the neural mechanisms underlying addiction. It also examines numerous biobehavioral aspects of addiction disorders, such as reinforcement learning, reward, cognitive dysfunction, stress, and sleep and circadian rhythms that are not covered in any other publication. Readers with find the most up-to-date information on which to build a foundation for their future research in this expanding field. Combining chapters from leading researchers and thought leaders, this book is an indispensable guide for students and investigators engaged in addiction research. - Transcends multiple neural, neurochemical and behavioral domains - Summarizes advances in the field of addiction research since the advent of optogenetics - Discusses the most current, leading theories of addiction, including molecular mechanisms and dopamine mechanisms


Addiction Neuroethics

Addiction Neuroethics

Author: Adrian Carter

Publisher: Academic Press

Published: 2011-10-04

Total Pages: 347

ISBN-13: 0123859743

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Research increasingly suggests that addiction has a genetic and neurobiological basis, but efforts to translate research into effective clinical treatments and social policy needs to be informed by careful ethical analyses of the personal and social implications. Scientists and policy makers alike must consider possible unintended negative consequences of neuroscience research so that the promise of reducing the burden and incidence of addiction can be fully realized and new advances translated into clinically meaningful and effective treatments. This volume brings together leading addiction researchers and practitioners with neuroethicists and social scientists to specifically discuss the ethical, philosophical, legal and social implications of neuroscience research of addiction, as well as its translation into effective, economical and appropriate policy and treatments. Chapters explore the history of ideas about addiction, the neuroscience of drug use and addiction, prevention and treatment of addiction, the moral implications of addiction neuroscience, legal issues and human rights, research ethics, and public policy. - Features outstanding and truly international scholarship, with chapters written by leading experts in neuroscience, addiction medicine, psychology and more - Informs psychologists of related research in neuroscience and vice versa, giving researchers easy one-stop access to knowledge outside their area of specialty


Drug Addiction

Drug Addiction

Author: Rao S. Rapaka

Publisher: Springer Science & Business Media

Published: 2008-06-19

Total Pages: 791

ISBN-13: 0387766782

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This book provides a comprehensive overview of physiological, biochemical, and genetic pathways underlying drug addiction, and resultant efforts to develop novel treatment strategies dealing with drug addiction and other CNS disorders where the neurophysiological processes overlap, such as treatment of pain. The volume focuses on the translation of fundamental addiction research to a variety of treatments and brings together scientists with wide ranging expertise.


Computational Neuroscience of Drug Addiction

Computational Neuroscience of Drug Addiction

Author: Boris Gutkin

Publisher: Springer

Published: 2011-10-26

Total Pages: 342

ISBN-13: 9781461407522

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Drug addiction remains one of the most important public health problems in western societies and is a rising concern for developing nations. Over the past 3 decades, experimental research on the neurobiology and psychology of drug addiction has generated a torrent of exciting data, from the molecular up to the behavioral levels. As a result, a new and pressing challenge for addiction research is to formulate a synthetic theoretical framework that goes well beyond mere scientific eclectism to deepen our understanding of drug addiction and to foster our capacity to prevent and to cure drug addiction. Intrigued by the apparent irrational behavior of drug addicts, researchers from a wide range of scientific disciplines have formulated a plethora of theoretical schemes over the years to understand addiction. However, most of these theories and models are qualitative in nature and are formulated using terms that are often ill-defined. As a result, the empirical validity of these models has been difficult to test rigorously, which has served to generate more controversy than clarity. In this context, as in other scientific fields, mathematical and computational modeling should contribute to the development of more testable and rigorous models of addiction.


Computational Models of Brain and Behavior

Computational Models of Brain and Behavior

Author: Ahmed A. Moustafa

Publisher: John Wiley & Sons

Published: 2017-09-11

Total Pages: 588

ISBN-13: 1119159075

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A comprehensive Introduction to the world of brain and behavior computational models This book provides a broad collection of articles covering different aspects of computational modeling efforts in psychology and neuroscience. Specifically, it discusses models that span different brain regions (hippocampus, amygdala, basal ganglia, visual cortex), different species (humans, rats, fruit flies), and different modeling methods (neural network, Bayesian, reinforcement learning, data fitting, and Hodgkin-Huxley models, among others). Computational Models of Brain and Behavior is divided into four sections: (a) Models of brain disorders; (b) Neural models of behavioral processes; (c) Models of neural processes, brain regions and neurotransmitters, and (d) Neural modeling approaches. It provides in-depth coverage of models of psychiatric disorders, including depression, posttraumatic stress disorder (PTSD), schizophrenia, and dyslexia; models of neurological disorders, including Alzheimer’s disease, Parkinson’s disease, and epilepsy; early sensory and perceptual processes; models of olfaction; higher/systems level models and low-level models; Pavlovian and instrumental conditioning; linking information theory to neurobiology; and more. Covers computational approximations to intellectual disability in down syndrome Discusses computational models of pharmacological and immunological treatment in Alzheimer's disease Examines neural circuit models of serotonergic system (from microcircuits to cognition) Educates on information theory, memory, prediction, and timing in associative learning Computational Models of Brain and Behavior is written for advanced undergraduate, Master's and PhD-level students—as well as researchers involved in computational neuroscience modeling research.


Addiction

Addiction

Author: David Nutt

Publisher: Oxford University Press, USA

Published: 2013-09-26

Total Pages: 102

ISBN-13: 0199685703

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An essential reference for psychiatrists, clinical psychologists, trainees, and specialist nurses, as well as primary care physicians/GPs with a special interest in mental health conditions and other healthcare professionals.


Computational Psychiatry

Computational Psychiatry

Author: Alan Anticevic

Publisher: Academic Press

Published: 2017-09-19

Total Pages: 334

ISBN-13: 0128098260

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Computational Psychiatry: Mathematical Modeling of Mental Illness is the first systematic effort to bring together leading scholars in the fields of psychiatry and computational neuroscience who have conducted the most impactful research and scholarship in this area. It includes an introduction outlining the challenges and opportunities facing the field of psychiatry that is followed by a detailed treatment of computational methods used in the service of understanding neuropsychiatric symptoms, improving diagnosis and guiding treatments. This book provides a vital resource for the clinical neuroscience community with an in-depth treatment of various computational neuroscience approaches geared towards understanding psychiatric phenomena. Its most valuable feature is a comprehensive survey of work from leaders in this field. - Offers an in-depth overview of the rapidly evolving field of computational psychiatry - Written for academics, researchers, advanced students and clinicians in the fields of computational neuroscience, clinical neuroscience, psychiatry, clinical psychology, neurology and cognitive neuroscience - Provides a comprehensive survey of work from leaders in this field and a presentation of a range of computational psychiatry methods and approaches geared towards a broad array of psychiatric problems


Computational Psychiatry

Computational Psychiatry

Author: Peggy Series

Publisher: MIT Press

Published: 2020-11-24

Total Pages: 344

ISBN-13: 0262360713

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The first introductory textbook in the emerging, fast-developing field of computational psychiatry. Computational psychiatry applies computational modeling and theoretical approaches to psychiatric questions, focusing on building mathematical models of neural or cognitive phenomena relevant to psychiatric diseases. It is a young and rapidly growing field, drawing on concepts from psychiatry, psychology, computer science, neuroscience, electrical and chemical engineering, mathematics, and physics. This book, accessible to nonspecialists, offers the first introductory textbook in computational psychiatry.