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Neurobehavioral meaning of pupil size
Pupil size is a widely used metric of brain state. It is one of the few signals originating from
the brain that can be readily monitored with low-cost devices in basic science, clinical, and …
the brain that can be readily monitored with low-cost devices in basic science, clinical, and …
A unified model of the task-evoked pupil response
The pupil dilates and reconstricts following task events. It is popular to model this task-
evoked pupil response as a linear transformation of event-locked impulses, whose …
evoked pupil response as a linear transformation of event-locked impulses, whose …
The real‐time effects of parent speech on infants' multimodal attention and dyadic coordination
Parental responsiveness to infant behaviors is a strong predictor of infants' language and
cognitive outcomes. The mechanisms underlying this effect, however, are relatively …
cognitive outcomes. The mechanisms underlying this effect, however, are relatively …
Single-trial modeling separates multiple overlap** prediction errors during reward processing in human EEG
Learning signals during reinforcement learning and cognitive control rely on valenced
reward prediction errors (RPEs) and non-valenced salience prediction errors (PEs) driven …
reward prediction errors (RPEs) and non-valenced salience prediction errors (PEs) driven …
The effect of effort on reward prediction error signals in midbrain dopamine neurons
S Tanaka, JE Taylor, M Sakagami - Current Opinion in Behavioral Sciences, 2021 - Elsevier
Midbrain dopamine neurons encode reward prediction error (RPE) signals and are involved
in reinforcement learning, which in turn influences various decision-making behaviors …
in reinforcement learning, which in turn influences various decision-making behaviors …
Rational inattention in mice
Behavior exhibited by humans and other organisms is generally inconsistent and biased
and, thus, is often labeled irrational. However, the origins of this seemingly suboptimal …
and, thus, is often labeled irrational. However, the origins of this seemingly suboptimal …
Brainstem networks construct threat probability and prediction error from neuronal building blocks
JA Strickland, MA McDannald - Nature Communications, 2022 - nature.com
When faced with potential threat we must estimate its probability, respond advantageously,
and leverage experience to update future estimates. Threat estimation is the proposed …
and leverage experience to update future estimates. Threat estimation is the proposed …
An opponent striatal circuit for distributional reinforcement learning
Machine learning research has achieved large performance gains on a wide range of tasks
by expanding the learning target from mean rewards to entire probability distributions of …
by expanding the learning target from mean rewards to entire probability distributions of …
[HTML][HTML] The motivational role of the ventral striatum and amygdala in learning from gains and losses.
The ventral striatum (VS) and amygdala are two structures often implicated as essential
structures for learning. The literature addressing the contribution of these areas to learning …
structures for learning. The literature addressing the contribution of these areas to learning …
Pupillary responses reflect dynamic changes in multiple cognitive factors during associative learning in primates
Associative learning involves complex interactions of multiple cognitive factors. While adult
subjects can articulate these factors verbally, for model animals such as macaques, we rely …
subjects can articulate these factors verbally, for model animals such as macaques, we rely …