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Computational Neuroscience of Drug Addiction (Record no. 17427)

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003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310150235.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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fixed length control field 111026s2012 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781461407515
978-1-4614-0751-5
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number RC321-580
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 612.8
Edition number 23
264 #1 -
-- New York, NY :
-- Springer New York,
-- 2012.
912 ## -
-- ZDB-2-SBL
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Gutkin, Boris.
Relator term editor.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Computational Neuroscience of Drug Addiction
Medium [electronic resource] /
Statement of responsibility, etc edited by Boris Gutkin, Serge H. Ahmed.
250 ## - EDITION STATEMENT
Edition statement 1.
300 ## - PHYSICAL DESCRIPTION
Extent XIV, 342 p.
Other physical details online resource.
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Springer Series in Computational Neuroscience ;
Volume number/sequential designation 10
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Foreword: P Dayan -- Part 1 – Pharmacological-based models of addiction -- Chapter 1. Simple deterministic mathematical Model of maintained drug delf-Administration behavior and its pharmacological applications. V.L. Tsibulsky* and A.B. Norman -- Chapter 2. Intermittent Adaptation : A mathematical model of drug tolerance, dependence and addiction. A. Peper -- Chapter 3. Control theory and addictive behavior. D. Newlin, P.A. Regalia, T.I. Seidman, G. Bobashev -- Part 2 – Neurocomputational models of addiction -- Chapter 4. Circuit models of addiction: receptors and neural dynamics in nicotine self-administration. M. Graupner and B. Gutkin -- Chapter 5. N Dual-system learning models and drugs of abuse. N.D. Daw and D.A. Simon -- Chapter 6. Modeling decision-making systems in addiction. Z. Kurth-Nelson and A. D. Redish -- Chapter 7. Computational models of incentive-sensitization in addiction: Dynamic limbic transformation of learning into motivation. J. Zhang, K. C. Berridge, and J. W. Aldridge -- Chapter 8.  Understanding addiction as a pathological state of multiple decision making processes: a neurocomputational perspective. M. Keramati, A. Dezfouli and P. Piray -- Part 3 – Economic-based models of addiction -- Chapter 9. Policies and priors. K Friston -- Chapter 10. Toward a Computationally Unified Behavioral-Economic Model of Addiction. E.T. Mueller, L.P. Carter and W.K. Bickel -- Chapter 11. Simulating Patterns of Heroin Addiction within the Social Context of a Local Heroin Market. L. Hoffer, G. Bobashev and R. J Morris.
520 ## - SUMMARY, ETC.
Summary, etc 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.  
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Medicine.
Topical term or geographic name as entry element Neurosciences.
Topical term or geographic name as entry element Biology
General subdivision Data processing.
Topical term or geographic name as entry element Biomedicine.
Topical term or geographic name as entry element Neurosciences.
Topical term or geographic name as entry element Computer Appl. in Life Sciences.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ahmed, Serge H.
Relator term editor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781461407508
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4614-0751-5
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-04-04AUM Main Library2014-04-04 2014-04-04 E-Book   AUM Main Library612.8