£104.28

Springer Computational Neuroscience of Drug Addiction: 10 (Springer Series in Computational Neuroscience, 10)

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£104 today · all-time low £101 (Jun 2025) · usually the usual

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Last 597 days • 597 data points (No recent data available)

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£127.32 £98.69 £104.93 £111.18 £117.43 £123.68 £129.92 09 June 2024 05 November 2024 03 April 2025 30 August 2025 26 January 2026

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287 days · current 275 days 18 days 17 days 0 72 144 215 287 £101-107 £107-112 £112-117 £122-127 Days at Price

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Most common range: £101-107 (287 days, 48.1%)

Price range: £101 - £127

Price levels: 4 price ranges over 597 days

Description

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.

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