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Computational Neuroscience Of Drug Addiction

Computational Neuroscience Of Drug Addiction
Author: Boris Gutkin
Publisher: Springer Science & Business Media
ISBN: 9781461407515
Size: 68.88 MB
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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 Neuroscience of Drug Addiction
Language: en
Pages: 342
Authors: Boris Gutkin, Serge H. Ahmed
Categories: Medical
Type: BOOK - Published: 2011-10-27 - Publisher: Springer Science & Business Media
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 Neuroscience of Drug Addiction
Language: en
Pages: 342
Authors: Boris Gutkin, Serge H. Ahmed
Categories: Medical
Type: BOOK - Published: 2011-10-26 - Publisher: Springer
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.
The Wiley Handbook on the Cognitive Neuroscience of Addiction
Language: en
Pages: 552
Authors: Stephen J. Wilson
Categories: Psychology
Type: BOOK - Published: 2015-04-28 - Publisher: John Wiley & Sons
This volume provides a thorough and up-to-date synthesis of the expansive and highly influential literature from the last 30 years by bringing together contributions from leading authorities in the field, with emphasis placed on the most commonly investigated drugs of abuse. Emphasises the most commonly investigated drugs of abuse, including alcohol, cocaine, nicotine, and opiates Brings together the work of the leading authorities in all major areas of the field Provides novel coverage of cutting-edge methods for using cognitive neuroscience to advance the treatment of addiction, including real-time neurofeedback and brain stimulation methods Includes new material on emerging themes and future directions in the use of cognitive neuroscience to advance addiction science
Computational Psychiatry
Language: en
Pages: 332
Authors: Alan Anticevic, John D Murray
Categories: Medical
Type: BOOK - Published: 2017-09-19 - Publisher: Academic Press
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
Language: en
Pages: 342
Authors: Peggy Series
Categories: Psychology
Type: BOOK - Published: 2020-11-24 - Publisher: MIT Press
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.
Addiction
Language: en
Pages: 288
Authors: Chris Chandler, Anita Andrews
Categories: Social Science
Type: BOOK - Published: 2018-10-29 - Publisher: SAGE
Addiction: A biopsychosocial perspective provides students with an evidence-based approach to addiction whilst covering a broad range of topics, critical perspectives and influential theories in addiction. With chapters discussing key theories, psychological, biological and societal aspects of addiction, this is a highly accessible and essential resource for students and researchers that: Offers an evidence-based discussion of addiction Addresses the neuroscience and psychology of addiction Provides a critical account of the science and research in addiction Includes chapter overviews and summaries, learning aims and case studies to help students in their study
Memory Systems of the Addicted Brain: The Underestimated Role of Drug-Induced Cognitive Biases in Addiction and Its Treatment
Language: en
Pages: 163
Authors: Vincent David, Daniel Béracochéa, Mark E. Walton
Categories: Social Science
Type: BOOK - Published: 2018-06-08 - Publisher: Frontiers Media SA
Books about Memory Systems of the Addicted Brain: The Underestimated Role of Drug-Induced Cognitive Biases in Addiction and Its Treatment
Systems Biology in Psychiatric Research
Language: en
Pages: 378
Authors: Felix Tretter, Georg Winterer, Peter J. Gebicke-Haerter, Eduardo R. Mendoza
Categories: Medical
Type: BOOK - Published: 2010-03-30 - Publisher: John Wiley & Sons
This first book to provide a comprehensive overview of the recent progress made in this break-through approach includes expert contributions from a variety of disciplines. Particular focus is placed on high-throughput methods and the analysis of data thus obtained, as well as their use in silico experiments so as to gain an insight into the complex biological processes in neuronal systems. A must-have for everyone working in psychiatric research.
The Mind within the Brain
Language: en
Pages: 240
Authors: A. David Redish
Categories: Psychology
Type: BOOK - Published: 2013-06-19 - Publisher: Oxford University Press
In The Mind within the Brain, David Redish brings together cutting edge research in psychology, robotics, economics, neuroscience, and the new fields of neuroeconomics and computational psychiatry, to offer a unified theory of human decision-making. Most importantly, Redish shows how vulnerabilities, or "failure-modes," in the decision-making system can lead to serious dysfunctions, such as irrational behavior, addictions, problem gambling, and PTSD. Told with verve and humor in an easily readable style, Redish makes these difficult concepts understandable. Ranging widely from the surprising roles of emotion, habit, and narrative in decision-making, to the larger philosophical questions of how mind and brain are related, what makes us human, the nature of morality, free will, and the conundrum of robotics and consciousness, The Mind within the Brain offers fresh insight into one of the most complex aspects of human behavior.
Disturbed Consciousness
Language: en
Pages: 384
Authors: Rocco J. Gennaro
Categories: Philosophy
Type: BOOK - Published: 2015-09-15 - Publisher: MIT Press
Essays defend, discuss, and critique specific theories of consciousness with respect to various psychopathologies. In Disturbed Consciousness, philosophers and other scholars examine various psychopathologies in light of specific philosophical theories of consciousness. The contributing authors—some of them discussing or defending their own theoretical work—consider not only how a theory of consciousness can account for a specific psychopathological condition but also how the characteristics of a psychopathology might challenge such a theory. Thus one essay defends the higher-order thought (HOT) theory of consciousness against the charge that it cannot account for somatoparaphrenia (a delusion in which one denies ownership of a limb). Another essay argues that various attempts to explain away such anomalies within subjective theories of consciousness fail. Other essays consider such topics as the application of a model of unified consciousness to cases of brain bisection and dissociative identity disorder; prefrontal and parietal underconnectivity in autism and other psychopathologies; self-deception and the self-model theory of subjectivity; schizophrenia and the vehicle theory of consciousness; and a shift in emphasis away from an internal (or brainbound) approach to psychopathology to an interactive one. Each essay offers a distinctive perspective from the intersection of philosophy, consciousness research, and psychiatry. Contributors Alexandre Billon,