A unified framework for addiction: Vulnerabilities in the decision process

By Reinout W. Wiers, Remco Havermans, Roland Deutsch, Alan W. Stacy. Behavioral and Brain Sciences, 2008

427 citations recorded by the source corpus.

Abstract Current computational models predict reward based solely on learning. Real motivation involves that but also more. Brain reward systems can dynamically generate incentive salience, by integrating prior learned values with even novel physiological states (e.g., natural appetites; drug-induced mesolimbic sensitization) to cause intense desires that were themselves never learned. We hope future computational models may capture this too.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/ba3489c7ca09f71b343e77c5e6c025646d333923

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In Cellular and Molecular Neuroscience

In Cognitive Neuroscience

Citations in the corpus

Abstract context representations in primate amygdala and prefrontal cortex (2015, methodology): “Neural Representations of Cognitive Context for RL Algorithms Recent influential work has suggested that goal-directed learning is instantiated by model-based RL algorithms in which an agent estimates state values by implementing a ‘‘cognitive search’’ procedure over an internal model of the environ”
A Neural Computational Model of Incentive Salience (2009, background): “To the extent that computational models aim to capture real psychological cognition, retasting may remain an important feature of many model-based systems [17,18,21,22,28,39,40,44].”
Psychology of Habit. (2016, background): “As a result of these habitual and deliberative processes, drug use escalates so that people ultimately seek drugs compulsively (Redish et al. 2008).”
From prediction error to incentive salience: mesolimbic computation of reward motivation (2012, background): “…cached learned value, Zhang et al. adopted the temporal difference model of reinforcement learning (Sutton & Barto, 1981; Schultz & Dickinson, 2000; Dayan & Balleine, 2002; McClure et al., 2003b; O’Doherty et al., 2003; Schultz, 2006; Niv & Schoenbaum, 2008; Redish et al., 2008b; Glimcher, 2011).”
Promoting habit formation (2013, background): “It has been argued that behaviours which require high levels of flexibility in performance remain controlled by a deliberative planning system rather than becoming habitual (Redish et al., 2008).”
Generalization of value in reinforcement learning by humans (2012, background): “However, there has been increasing recognition that this narrow mechanism for ‘habit’ learning cannot explain the full diversity of choice behavior, or even the contribution of striatum to it (Balleine et al., 2008; Rangel et al., 2008; Redish et al., 2008).”
Drug-evoked synaptic plasticity in addiction: from molecular changes to circuit remodeling (2011, background): “Here, we focus on the initial adaptive changes required, but not sufficient, to cause addiction (Redish et al., 2008).”