| 书目名称 | Computational Neuroscience of Drug Addiction | | 编辑 | Boris Gutkin,Serge H. Ahmed | | 视频video | | | 概述 | 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 ad | | 丛书名称 | Springer Series in Computational Neuroscience | | 图书封面 |  | | 描述 | Drug addiction remains one of the most important public health problems in western societiesand is a rising concern for developing nations. Over the past 3 decades, experimental research on theneurobiology 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 scientificdisciplines 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 th | | 出版日期 | Book 2012 | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4614-0751-5 | | isbn_softcover | 978-1-4614-2940-1 | | isbn_ebook | 978-1-4614-0751-5Series ISSN 2197-1900 Series E-ISSN 2197-1919 | | issn_series | 2197-1900 | | copyright | Springer Science+Business Media, LLC 2012 |
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发表于 2025-3-21 16:20:09
