Computational Neuroscience of Drug Addiction

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 1461407516
Total Pages : 345 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Computational Neuroscience of Drug Addiction by : Boris Gutkin

Download or read book Computational Neuroscience of Drug Addiction written by Boris Gutkin and published by Springer Science & Business Media. This book was released on 2011-10-27 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Author :
Publisher : Academic Press
ISBN 13 : 0128169796
Total Pages : 340 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Cognitive, Clinical, and Neural Aspects of Drug Addiction by : Ahmed Moustafa

Download or read book Cognitive, Clinical, and Neural Aspects of Drug Addiction written by Ahmed Moustafa and published by Academic Press. This book was released on 2020-01-16 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Publisher : Academic Press
ISBN 13 : 0128123311
Total Pages : 308 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Neural Mechanisms of Addiction by : Mary Torregrossa

Download or read book Neural Mechanisms of Addiction written by Mary Torregrossa and published by Academic Press. This book was released on 2018-08-24 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Publisher : Academic Press
ISBN 13 : 0123859743
Total Pages : 347 pages
Book Rating : 4.1/5 (238 download)

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Book Synopsis Addiction Neuroethics by : Adrian Carter

Download or read book Addiction Neuroethics written by Adrian Carter and published by Academic Press. This book was released on 2011-10-04 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 0387766782
Total Pages : 791 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Drug Addiction by : Rao S. Rapaka

Download or read book Drug Addiction written by Rao S. Rapaka and published by Springer Science & Business Media. This book was released on 2008-06-19 with total page 791 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Author :
Publisher : Springer
ISBN 13 : 9781461407522
Total Pages : 342 pages
Book Rating : 4.4/5 (75 download)

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Book Synopsis Computational Neuroscience of Drug Addiction by : Boris Gutkin

Download or read book Computational Neuroscience of Drug Addiction written by Boris Gutkin and published by Springer. This book was released on 2011-10-26 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119159075
Total Pages : 588 pages
Book Rating : 4.1/5 (191 download)

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Book Synopsis Computational Models of Brain and Behavior by : Ahmed A. Moustafa

Download or read book Computational Models of Brain and Behavior written by Ahmed A. Moustafa and published by John Wiley & Sons. This book was released on 2017-09-11 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Author :
Publisher : Oxford University Press, USA
ISBN 13 : 0199685703
Total Pages : 102 pages
Book Rating : 4.1/5 (996 download)

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Book Synopsis Addiction by : David Nutt

Download or read book Addiction written by David Nutt and published by Oxford University Press, USA. This book was released on 2013-09-26 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Author :
Publisher : Academic Press
ISBN 13 : 0128098260
Total Pages : 334 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Computational Psychiatry by : Alan Anticevic

Download or read book Computational Psychiatry written by Alan Anticevic and published by Academic Press. This book was released on 2017-09-19 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Author :
Publisher : MIT Press
ISBN 13 : 0262360713
Total Pages : 344 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Computational Psychiatry by : Peggy Series

Download or read book Computational Psychiatry written by Peggy Series and published by MIT Press. This book was released on 2020-11-24 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Habits

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Publisher : Springer Nature
ISBN 13 : 3031558898
Total Pages : 369 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Habits by : Youna Vandaele

Download or read book Habits written by Youna Vandaele and published by Springer Nature. This book was released on 2024 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: Zusammenfassung: This book explores the multiple facets of habit from diverse and complementary theoretical frameworks. It provides a complete overview of the cognitive, computational, and neural processes underlying the formation of distinct forms of habit. The objective of the book is to cover (1) the multiple definitions of the habit construct and the relation between different habit-related concepts, (2) the underlying brain circuits of habits, and (3) the possible involvement of habits in psychiatric disorders such as alcohol and substance use disorder. This book will be of interest to all researchers in behavioral and computational neuroscience, psychology, and psychiatry who are interested in associative learning and decision making, under normal and pathological conditions

Addiction

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Author :
Publisher : Harvard University Press
ISBN 13 : 0674264436
Total Pages : 213 pages
Book Rating : 4.6/5 (742 download)

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Book Synopsis Addiction by : Gene M. Heyman

Download or read book Addiction written by Gene M. Heyman and published by Harvard University Press. This book was released on 2010-10-15 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a book sure to inspire controversy, Gene Heyman argues that conventional wisdom about addiction—that it is a disease, a compulsion beyond conscious control—is wrong. Drawing on psychiatric epidemiology, addicts’ autobiographies, treatment studies, and advances in behavioral economics, Heyman makes a powerful case that addiction is voluntary. He shows that drug use, like all choices, is influenced by preferences and goals. But just as there are successful dieters, there are successful ex-addicts. In fact, addiction is the psychiatric disorder with the highest rate of recovery. But what ends an addiction? At the heart of Heyman’s analysis is a startling view of choice and motivation that applies to all choices, not just the choice to use drugs. The conditions that promote quitting a drug addiction include new information, cultural values, and, of course, the costs and benefits of further drug use. Most of us avoid becoming drug dependent, not because we are especially rational, but because we loathe the idea of being an addict. Heyman’s analysis of well-established but frequently ignored research leads to unexpected insights into how we make choices—from obesity to McMansionization—all rooted in our deep-seated tendency to consume too much of whatever we like best. As wealth increases and technology advances, the dilemma posed by addictive drugs spreads to new products. However, this remarkable and radical book points to a solution. If drug addicts typically beat addiction, then non-addicts can learn to control their natural tendency to take too much.

Problems of Drug Dependence

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Author :
Publisher :
ISBN 13 :
Total Pages : 308 pages
Book Rating : 4.3/5 ( download)

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Book Synopsis Problems of Drug Dependence by : College on Problems of Drug Dependence (U.S.). Scientific Meeting

Download or read book Problems of Drug Dependence written by College on Problems of Drug Dependence (U.S.). Scientific Meeting and published by . This book was released on 1994 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Improving and Accelerating Therapeutic Development for Nervous System Disorders

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Author :
Publisher : National Academies Press
ISBN 13 : 0309292492
Total Pages : 107 pages
Book Rating : 4.3/5 (92 download)

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Book Synopsis Improving and Accelerating Therapeutic Development for Nervous System Disorders by : Institute of Medicine

Download or read book Improving and Accelerating Therapeutic Development for Nervous System Disorders written by Institute of Medicine and published by National Academies Press. This book was released on 2014-02-06 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt: Improving and Accelerating Therapeutic Development for Nervous System Disorders is the summary of a workshop convened by the IOM Forum on Neuroscience and Nervous System Disorders to examine opportunities to accelerate early phases of drug development for nervous system drug discovery. Workshop participants discussed challenges in neuroscience research for enabling faster entry of potential treatments into first-in-human trials, explored how new and emerging tools and technologies may improve the efficiency of research, and considered mechanisms to facilitate a more effective and efficient development pipeline. There are several challenges to the current drug development pipeline for nervous system disorders. The fundamental etiology and pathophysiology of many nervous system disorders are unknown and the brain is inaccessible to study, making it difficult to develop accurate models. Patient heterogeneity is high, disease pathology can occur years to decades before becoming clinically apparent, and diagnostic and treatment biomarkers are lacking. In addition, the lack of validated targets, limitations related to the predictive validity of animal models - the extent to which the model predicts clinical efficacy - and regulatory barriers can also impede translation and drug development for nervous system disorders. Improving and Accelerating Therapeutic Development for Nervous System Disorders identifies avenues for moving directly from cellular models to human trials, minimizing the need for animal models to test efficacy, and discusses the potential benefits and risks of such an approach. This report is a timely discussion of opportunities to improve early drug development with a focus toward preclinical trials.

Computational Psychiatry

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Author :
Publisher : MIT Press
ISBN 13 : 0262546671
Total Pages : 425 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Computational Psychiatry by : A. David Redish

Download or read book Computational Psychiatry written by A. David Redish and published by MIT Press. This book was released on 2022-11-01 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Psychiatrists and neuroscientists discuss the potential of computational approaches to address problems in psychiatry including diagnosis, treatment, and integration with neurobiology. Modern psychiatry is at a crossroads, as it attempts to balance neurological analysis with psychological assessment. Computational neuroscience offers a new lens through which to view such thorny issues as diagnosis, treatment, and integration with neurobiology. In this volume, psychiatrists and theoretical and computational neuroscientists consider the potential of computational approaches to psychiatric issues. This unique collaboration yields surprising results, innovative synergies, and novel open questions. The contributors consider mechanisms of psychiatric disorders, the use of computation and imaging to model psychiatric disorders, ways that computation can inform psychiatric nosology, and specific applications of the computational approach. Contributors Susanne E. Ahmari, Huda Akil, Deanna M. Barch, Matthew Botvinick, Michael Breakspear, Cameron S. Carter, Matthew V. Chafee, Sophie Denève, Daniel Durstewitz, Michael B. First, Shelly B. Flagel, Michael J. Frank, Karl J. Friston, Joshua A. Gordon, Katia M. Harlé, Crane Huang, Quentin J. M. Huys, Peter W. Kalivas, John H. Krystal, Zeb Kurth-Nelson, Angus W. MacDonald III, Tiago V. Maia, Robert C. Malenka, Sanjay J. Mathew, Christoph Mathys, P. Read Montague, Rosalyn Moran, Theoden I. Netoff, Yael Niv, John P. O'Doherty, Wolfgang M. Pauli, Martin P. Paulus, Frederike Petzschner, Daniel S. Pine, A. David Redish, Kerry Ressler, Katharina Schmack, Jordan W. Smoller, Klaas Enno Stephan, Anita Thapar, Heike Tost, Nelson Totah, Jennifer L. Zick

Computational Neuroscience

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Author :
Publisher : Springer Nature
ISBN 13 : 1071632302
Total Pages : 275 pages
Book Rating : 4.0/5 (716 download)

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Book Synopsis Computational Neuroscience by : Drozdstoy Stoyanov

Download or read book Computational Neuroscience written by Drozdstoy Stoyanov and published by Springer Nature. This book was released on 2023-05-10 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume looks at the latest advancements in imaging neuroscience methods using magnetic resonance imaging (MRI) and electroencephalography (EEG) to study the healthy and diseased brain. The chapters in this book are organized into five parts. Parts One and Two cover an introduction to this field and the latest use of molecular models. Part Three explores neurophysiological methods for assessment, such as quantitative EEG and event-related potentials. Part Four discusses the advances and innovations made in computational anatomy, and Part Five addresses the challenges faced by researchers prior to the computational neuroscience to find wider translational applications in the field of psychiatry and mental health. 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. Cutting-edge and comprehensive, Computational Neuroscience is a valuable tool for researchers in the psychiatry and mental health fields who want to learn more about ways to incorporate computational approaches into utility and validity of clinical methods.

20 Years of Computational Neuroscience

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 1461414245
Total Pages : 294 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis 20 Years of Computational Neuroscience by : James M Bower

Download or read book 20 Years of Computational Neuroscience written by James M Bower and published by Springer Science & Business Media. This book was released on 2013-07-11 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: When funding agencies and policy organizations consider the role of modeling and simulation in modern biology, the question is often posed, what has been accomplished ? This book will be organized around a symposium on the 20 year history of the CNS meetings, to be held as part of CNS 2010 in San Antonio Texas in July 2010. The book, like the symposium is intended to summarize progress made in Computational Neuroscience over the last 20 years while also considering current challenges in the field. As described in the table of contents, the chapter’s authors have been selected to provide wide coverage of the applications of computational techniques to a broad range of questions and model systems in neuroscience. The proposed book will include several features that establish the history of the field. For each article, its author will select an article originally appearing in a CNS conference proceedings from 15 – 20 years ago. These short (less than 6 page) articles will provide illustrations of the state of the field 20 years ago. The new articles will describe what has been learned about the subject in the following 20 years, and pose specific challenges for the next 20 years. The second historical mechanism will be the reproduction of the first 12 years of posters from the CNS meeting. These posters in and of themselves have become famous in the field (they hang in the halls of the NIH in Bethesda Maryland) and were constructed as allegories for the state and development of computational neuroscience. The posters were designed by the book’s editor, who will, for the first time, provide a written description of each poster.