Addiction as a Computational Process Gone Awry

By L. Mehlmann, Y. Saeki, Shigeru Tanaka, T. Brennan, Alexei V. Evsikov, F. L. Pendola, Barbara B. Knowles, J. Eppig, Laurinda A Jaffe. Science, 2004

528 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Experimental and Cognitive Psychology, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/ea98f21a7cace5d9f5387d2c5a10e5304d8a9a6d

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In Cellular and Molecular Neuroscience

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Citations in the corpus

Dopamine signaling and the distal reward problem (2007, background): “DA plays a significant role in reinforcement learning [4,5].”
Resting state functional connectivity in addiction: Lessons learned and a road ahead (2012, background): “Of note, the ACC seed chosen was located rostral to the dorsal ACC region typically associated with situations necessitating elevated cognitive control (Carter and van Veen, 2007; Ridderinkhof et al., 2004).”
Cocaine seeking habits depend upon dopamine-dependent serial connectivity linking the ventral with the dorsal striatum. (2008, unknown): “During the development of drug addiction, drug seeking becomes progressively established as a maladaptive stimulusresponse (S-R) habit (Everitt et al., 2001; Everitt and Robbins, 2005; Volkow et al., 2006; Redish, 2004 ).”
Pavlovian Processes in Consumer Choice: The Physical Presence of a Good Increases Willingness-to-Pay (2010, background): “Second, cues are also thought to trigger habitual behavioral responses that promote drug seeking behaviors even if utility maximization calculations suggest that this is not the optimal course of behavior (Bernheim and Rangel 2004; David A. Reddish 2004; Rangel, Camerer, and Montague 2008).”
Dopamine, Affordance and Active Inference (2012, background): “Dopamine has been implicated in a bewildering variety of processes and pathologies in the human brain; ranging from cortical excitability to attentional deficits [5], [6]; from motor control to akinesia and set switching deficits in Parkinson’s disease [7], [8], [9]; from working memory to schizophr”
Burst timing-dependent plasticity of NMDA receptor-mediated transmission in midbrain dopamine neurons: A putative cellular substrate for reward learning (2009, unknown): “Further exploration and characterization of this process is necessary and may yield clues into the cellular processes that underlie how addiction hijacks learning and motivational circuitry (Berke and Hyman, 2000; Everitt and Robbins, 2005; Hyman, 2005; Hyman et al., 2006a; Jones and Bonci, 2005; Ka”
New insights into symptoms and neurocircuit function of anorexia nervosa (2009, unknown): “…of interoceptive sensitivity through real-time monitoring of the insular cortex activation, might help. moreover, computational models such as those that have been proposed for addiction 155 might provide a theoretical approach to better understand the complex pathology of this disorder.”
The computational neurobiology of learning and reward. (2006, background): “Because it measures dopamine release rather than spiking, this technique might also prove particularly useful in studying self-administration of cocaine and brain stimulation reward [41,42 ], which are both pathological choice behaviors hypothesized to follow from direct interference with the dopami”
The debate over dopamine’s role in reward: the case for incentive salience (2007, background): “These addiction explanations simply add the postulate that addictive drugs cause especially high dopamine release to generate an extra-large prediction error, essentially causing over-learning that leads essentially to excessively optimistic predictions of future drug rewards or to excessively stron”
Computational psychiatry as a bridge from neuroscience to clinical applications (2016, background): “As most 109 addictive substances release dopamine, they may boost dopaminergic prediction-error learning 110 (but see ref.”
Addiction: a disease of learning and memory. (2005, background): “This work, along with more recent computational analyses of dopamine action (9, 10), has suggested mechanisms by which drugs and drug-associated stimuli might attain their motivational power.”