Neurobehavioral meaning of pupil size

N Grujic, R Polania, D Burdakov - Neuron, 2024 - cell.com
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 …

A unified model of the task-evoked pupil response

CS Burlingham, S Mirbagheri, DJ Heeger - Science advances, 2022 - science.org
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 …

The real‐time effects of parent speech on infants' multimodal attention and dyadic coordination

SE Schroer, C Yu - Infancy, 2022 - Wiley Online Library
Parental responsiveness to infant behaviors is a strong predictor of infants' language and
cognitive outcomes. The mechanisms underlying this effect, however, are relatively …

Single-trial modeling separates multiple overlap** prediction errors during reward processing in human EEG

CW Hoy, SC Steiner, RT Knight - Communications Biology, 2021 - nature.com
Learning signals during reinforcement learning and cognitive control rely on valenced
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 …

Rational inattention in mice

N Grujic, J Brus, D Burdakov, R Polania - Science advances, 2022 - science.org
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 …

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 …

An opponent striatal circuit for distributional reinforcement learning

AS Lowet, Q Zheng, M Meng, S Matias… - …, 2024 - pmc.ncbi.nlm.nih.gov
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 …

[HTML][HTML] The motivational role of the ventral striatum and amygdala in learning from gains and losses.

CA Taswell, M Janssen, EA Murray… - Behavioral …, 2023 - psycnet.apa.org
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 …

Pupillary responses reflect dynamic changes in multiple cognitive factors during associative learning in primates

Y Zhang, T Wang, W Dai, Y Li, Y Yang, Y Wu… - Journal of …, 2024 - jneurosci.org
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 …