A novel hypothalamic-midbrain circuit for model-based learning
Hoang, I. B.; Munier, J. J.; Verghese, A.; Greer, Z.; Millard, S. J.; DiFazio, L. E.; Sercander, C.; Izquierdo, A.; Sharpe, M. J.
Show abstract
Behavior is often dichotomized into model-free and model-based systems 1, 2. Model-free behavior prioritizes associations that have high value, regardless of the specific consequence or circumstance. In contrast, model-based behavior involves considering all possible outcomes to produce behavior that best fits the current circumstance. We typically exhibit a mixture of these behaviors so we can trade-off efficiency and flexibility. However, substance use disorder shifts behavior more strongly towards model-free systems, which produces a difficulty abstaining from drug-seeking due to an inability to withhold making the model-free high-value response 3-10. The lateral hypothalamus (LH) is implicated in substance use disorder 11-17 and we have demonstrated that this region is critical to Pavlovian cue-reward learning 18, 19. However, it is unknown whether learning occurring in LH is model-free or model-based, where the necessary teaching signal comes from to facilitate learning in LH, and whether this is relevant for learning deficits that drive substance use disorder. Here, we reveal that learning occurring in the LH is model-based. Further, we confirm the existence of an understudied projection extending from dopamine neurons in the ventral tegmental area (VTA) to the LH and demonstrate that this input underlies model-based learning in LH. Finally, we examine the impact of methamphetamine self-administration on LH-dependent model-based processes. These experiments reveal that a history of methamphetamine administration enhances the model-based control that Pavlovian cues have over decision-making, which was accompanied by a bidirectional strengthening of the LH to VTA circuit. Together, this work reveals a novel bidirectional circuit that underlies model-based learning and is relevant to the behavioral and cognitive changes that arise with substance use disorders. This circuit represents a new addition to models of addiction, which focus on instrumental components of drug addiction and increases in model-free habits after drug exposure 3-10.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Supramammillary neurons projecting to the septum regulate dopamine and motivation for environmental interaction 97%
- Ventral pallidum GABA and glutamate neurons drive approach and avoidance through distinct modulation of VTA cell types 97%
- Drug Reinforcement Impairs Cognitive Flexibility by Inhibiting Striatal Cholinergic Neurons 96%
Similar papers in this journal
Similar papers in this journal
- Central amygdalar PKCδ neurons mediate fentanyl withdrawal 97%
- Medial septum activation improves strategy switching once strategies are well learned via bidirectional regulation of dopamine neuron population activity 96%
- Optogenetic inhibition of the dorsal hippocampus CA3 region during early-stage cocaine-memory reconsolidation disrupts subsequent context-induced cocaine seeking in rats 96%
Similar papers in this journal
- Dopamine neurons drive spatiotemporally heterogeneous striatal dopamine signals during learning 97%
- Prefrontal dopamine activity is critical for rapid threat avoidance learning 97%
- Partially dissociable roles of the Orbitofrontal cortex and dorsal Hippocampus in context-dependent (hierarchical) reward predictions and contextual inference in learning 97%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.