ArticleNeuron2022
Striatal dopamine explains novelty-induced behavioral dynamics and individual variability in threat prediction.
Article in Neuron, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.
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Who cites it
54 citing papers in PubMed.
- Natural and engineered safe reinforcement learning.Communications psychology · 2026Review
- Striatal endocannabinoids drive one-shot learning.Nature neuroscience · 2026Article
- Amygdalostriatal transition zone neurons encode sustained cue responses to guide defensive behaviors.Neuron · 2026Article
- Distributed cortical learning through LEC-mediated γ-synchrony.Nature communications · 2026Article
- Dopamine dynamics as a regulatory mechanism for shifting between defensive and reward-seeking behaviors.Communications biology · 2026Article
- Molecular taxonomy and spatial organization define neuronal subtypes in the mouse inferior colliculus.iScience · 2026Article
- Dopamine Response to Unexpected Aversive Outcomes Drives the Return of Extinguished Fear.Brain sciences · 2026Article
- Dopamine in the ventral and tail of striatum supports global and local evaluation in reward-threat conflict.bioRxiv : the preprint server for biology · 2026Article
- Genoarchitecture and input-output organization of the mouse basal ganglia and thalamic parafascicular nucleus.Nature neuroscience · 2026Article
- Mesocorticostriatal Reinforcement Learning of State Representation and Value with Implications for the Mechanisms of Schizophrenia.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
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- Infinite hidden Markov models can dissect the complexities of learning.Nature neuroscience · 2026Article
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- Refining mechanistic models of hallucinations for enhanced translatability.Translational psychiatry · 2025Review
- Hunger modulates exploration through suppression of dopamine signaling in the tail of the striatum.Neuron · 2025Article
- REVS: A new open-source platform for high-resolution analysis of rodent wheel running behavior.Journal of neuroscience methods · 2025Article
- Individual differences in tail risk sensitive exploration using Bayes-adaptive Markov decision processes.eLife · 2025Article
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- The neural basis for uncertainty processing in hierarchical decision making.Nature communications · 2025Article
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10 authors.
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Abstract
Animals both explore and avoid novel objects in the environment, but the neural mechanisms that underlie these behaviors and their dynamics remain uncharacterized. Here, we used multi-point tracking (DeepLabCut) and behavioral segmentation (MoSeq) to characterize the behavior of mice freely interacting with a novel object. Novelty elicits a characteristic sequence of behavior, starting with investigatory approach and culminating in object engagement or avoidance. Dopamine in the tail of the striatum (TS) suppresses engagement, and dopamine responses were predictive of individual variability in behavior. Behavioral dynamics and individual variability are explained by a reinforcement-learning (RL) model of threat prediction in which behavior arises from a novelty-induced initial threat prediction (akin to "shaping bonus") and a threat prediction that is learned through dopamine-mediated threat prediction errors. These results uncover an algorithmic similarity between reward- and threat-related dopamine sub-systems.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.