bioRxivNeuroscience
An integrated homeostatic reinforcement learning theory of motivation explains the transition to cocaine addiction
Mehdi Keramati, Audrey Durand, Paul Girardeau, Boris Gutkin, Serge Ahmed
Abstract
Drugs of abuse implicate both reward learning and homeostatic regulation mechanisms of the brain. Theories of addiction, thus, have mostly depicted this phenomenon as pathology in either habit-based learning system or homeostatic mechanisms. Showing the limits of those accounts, we hypothesize that compulsive drug seeking arises from drugs hijacking a system that integrates homeostatic regulation mechanism with goal-directed action/behavior. Building upon a recently developed homeostatic reinforcement learning theory, we present a computational theory proposing that cocaine reinforces goal-directed drug-seeking due to its rapid homeostatic corrective effect, whereas its chronic use induces slow and long-lasting changes in homeostatic setpoint. Our theory accounts for key behavioral and neurobiological features of addiction, most notably, escalation of cocaine use, drug-primed craving and relapse, and individual differences underlying susceptibility to addiction. The theory also generates unique predictions about the mechanisms of cocaine-intake regulation and about cocaine-primed craving and relapse that are confirmed by new experiments.\n\nSignificanceChronic use of addictive drugs renders increased motivation in planning to obtain and consume the drugs, despite their adverse social, occupational, and health consequences. It is as if addicts gradually develop a strong need for the drug and use their cognitive abilities and the knowledge of their environment in order to fulfil that need. In this paper, we build a mathematical model of this conception of addiction and show through quantitative simulations that such a model actually behaves in the same way that human addicts or laboratory animals that are exposed to cocaine behave. For example, the model shows gradually increasing motivation for drugs, relapse after long periods of abstinence, and individual differences in susceptibility to addiction.
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Reward prediction-errors weighted by cue salience produces addictive behaviors in simulations, with asymmetrical learning and steeper delay discounting
Shivam Kalhan, Marta Isabel Garrido, … A. David Redish·Neural NetworksPeer-reviewed·Sep 25, 2023
- Hierarchical cue control of drug seeking in the face of cost
Val L. Collins, Kaisa N. Bornhoft, … Benjamin T. Saunders·bioRxiv·May 5, 2022
- A concurrently available negative reinforcer robustly decreases cocaine self-administration in male and female rats
Madison M. Marcus, Matthew L. Banks·bioRxiv·Mar 29, 2023
- Taking rapid and intermittent cocaine infusions enhances both incentive motivation for the drug and cocaine-induced gene regulation in corticostriatal regions
Ellie-Anna Minogianis, Anne‐Noël Samaha·NeurosciencePeer-reviewed·Jul 15, 2020
- Differential Effects of Cocaine Self-Administration Regimens on Incubation of Cocaine Craving and Nucleus Accumbens Neuronal Ensembles Activated by Cocaine-Associated Context
Augusto Anésio, Giselle Costa, … Fabio Cardoso Cruz·bioRxiv·Mar 17, 2025
- Maladaptive cue-controlled cocaine-seeking habits promote increased relapse severity in rats.
Maxime Fouyssac, Yolanda Peña‐Oliver, … David Belin·bioRxiv·Feb 1, 2021