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One-shot learning and behavioral eligibility traces in sequential decision making
Marco P Lehmann et al.
Human learning relies on short-term memories (eligibility traces) which provide a mechanism to reinforce sequences of actions from a single reward (one-shot).
Distinct signals in medial and lateral VTA dopamine neurons modulate fear extinction at different times
Lili X Cai et al.
Dopamine neurons in medial versus lateral VTA encode different signals during fear extinction, yet inhibition of both populations influences fear extinction, at different times.
Classical conditioning drives learned reward prediction signals in climbing fibers across the lateral cerebellum
William Heffley, Court Hull
Cerebellar climbing fibers can generate learned reward-predictive instructional signals, suggesting a role for cerebellar learning in the reinforcement of reward-driven behaviors.
Neural encoding of task-dependent errors during adaptive learning
Chang-Hao Kao et al.
Posterior parietal cortex encodes errors in a task-dependent manner while a large array of frontal regions predict subsequent behavioral changes in response to ambiguous errors.
Lapses in perceptual decisions reflect exploration
Sashank Pisupati et al.
During perceptual decision-making, some errors on easy decisions (lapses) are not simply mistakes, but instead reflect strategic decisions to explore actions associated with uncertain rewards.
A Bayesian model of context-sensitive value attribution
Francesco Rigoli et al.
The dependence of incentive value attribution on the anticipation of rewards within a given context is explained via a normative Bayesian account of how rewards map to incentive values.
Distinct temporal difference error signals in dopamine axons in three regions of the striatum in a decision-making task
Iku Tsutsui-Kimura et al.
Dopamine signals in the ventral, dorsomedial, and dorsolateral striatum are modulated by various variables, such as stimulus-associated value, choice, confidence, but these modulations can be inclusively explained by TD errors.
Computational and Systems Biology
Dopamine role in learning and action inference
A mathematical model describes the function of dopaminergic neurons in both learning and action planning.
Dopamine neurons learn relative chosen value from probabilistic rewards
Armin Lak et al.
When learning the reward probability of novel cues, dopamine neurons convey dissociable value and novelty signals.
Mesolimbic confidence signals guide perceptual learning in the absence of external feedback
Matthias Guggenmos et al.
Neural confidence signals can take the role of reward signals and explain perceptual learning without external feedback as a form of internal reinforcement learning.
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