Descripción del título
Computational neuroscience ...
Drug addiction is one of the most important public health problems in Western societies, and is a rising concern for developing nations. Over the past three decades, experimental research on the neurobiology and psychology of drug addiction has generated a tremendous amount of exciting data, from the molecular 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 eclecticism to deepen our understanding of drug addiction and to foster our capacity to prevent and to cure drug addiction. Recently, researchers from a broad spectrum of scientific disciplines - from pharmacokinetics to neuroeconomics - have begun to take up this challenge. Computational Neuroscience of Drug Addiction collects recent mathematical and neurocomputational modeling approaches to drug self-administration and addiction. This selection of chapters illustrates how mathematical modeling can contribute to our understanding of the mechanisms underlying the transition between the different stages of addiction, from initiation of regulated drug use and subsequent loss of control over drug use to relapse after long-term abstinence. The volume provides an overview of this emerging area and will serve as a standard reference for addiction researchers and quantitative scientists entering the field
Monografía
monografia Rebiun39124802 https://catalogo.rebiun.org/rebiun/record/Rebiun39124802 m o d cr cnu---unuuu 111107s2012 nyua ob 001 0 eng d 771228861 778312183 816875253 823130843 1005818043 1069496587 1087339537 1204001026 1259116556 9781461407515 electronic bk.) 1461407516 electronic bk.) 1283353393 9781283353397 1461407508 9781461407508 9786613353399 6613353396 10.1007/978-1-4614-0751-5 doi AU@ 000048701237 NZ1 14165741 Springer GW5XE eng pn GW5XE VPI COO E7B OTZ OCLCQ OCLCF IDEBK OCLCQ OCLCA OCLCQ Z5A OCLCO MERER OCLCO VGM OCLCQ ESU VT2 IOG OCLCO OCLCA N$T OCLCQ CEF U3W WYU YOU LEAUB DKC OCLCO OCLCQ UKAHL OCLCQ SFB WURST OCLCA AJS OCLCQ OCLCO OCLCQ OCLCO OCL OCLCQ CASUM OCLCO OCLCL DCT OCLCL QGK MJN bicssc HEA 039000 bisacsh MED 014000 bisacsh MED 022000 bisacsh MED 112000 bisacsh MED 045000 bisacsh 616.86 23 https://id.oclc.org/worldcat/ddc/E4bTjtMXrMfqhkJc9Y3HhYKqPy Computational neuroscience of drug addiction Boris Gutkin, Serge H. Ahmed, editors New York Springer Science+Business Media, LLC 2012 New York New York Springer Science+Business Media, LLC 1 online resource (xiv, 341 pages) illustrations 1 online resource (xiv, 341 pages) Text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Springer series in computational neuroscience v. 10 Includes bibliographical references and index pt. 1. Pharmacological-based models of addiction -- pt. 2. Neurocomputational models of addiction -- pt. 3. Economic-based models of addiction Drug addiction is one of the most important public health problems in Western societies, and is a rising concern for developing nations. Over the past three decades, experimental research on the neurobiology and psychology of drug addiction has generated a tremendous amount of exciting data, from the molecular 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 eclecticism to deepen our understanding of drug addiction and to foster our capacity to prevent and to cure drug addiction. Recently, researchers from a broad spectrum of scientific disciplines - from pharmacokinetics to neuroeconomics - have begun to take up this challenge. Computational Neuroscience of Drug Addiction collects recent mathematical and neurocomputational modeling approaches to drug self-administration and addiction. This selection of chapters illustrates how mathematical modeling can contribute to our understanding of the mechanisms underlying the transition between the different stages of addiction, from initiation of regulated drug use and subsequent loss of control over drug use to relapse after long-term abstinence. The volume provides an overview of this emerging area and will serve as a standard reference for addiction researchers and quantitative scientists entering the field English Drug addiction Computational neuroscience Drug abuse Models, Neurological Substance-Related Disorders- physiopathology Brain- drug effects Neurotransmitter Agents- physiology Psychotropic Drugs- pharmacology Substance-Related Disorders Toxicomanie Neurosciences informatiques drug abuse. drug addiction. HEALTH & FITNESS- Diseases- General. MEDICAL- Clinical Medicine. MEDICAL- Diseases. MEDICAL- Evidence-Based Medicine. MEDICAL- Internal Medicine. Drug abuse. Computational neuroscience. Drug addiction. Medicine Neurosciences Biology -- Data processing Biomedicine Computer Appl. in Life Sciences computertechnieken computer techniques levenswetenschappen life sciences biomedische wetenschappen neurowetenschap neuroscience Medicine (General) Geneeskunde (algemeen) Internet Resources Gutkin, Boris Boris Samuel) https://id.oclc.org/worldcat/entity/E39PBJg8JVTkmmYq4dDcDT46rq Ahmed, Serge H. Springer eBooks Springer eBooks Print version Computational neuroscience of drug addiction. New York : Springer Science+Business Media, LLC, 2012 (DLC) 2011940849 1-4614-2940-4 1-4614-0750-8 Springer series in computational neuroscience v. 10