Artificial neural networks for model identification and parameter estimation in computational cognitive models

M Rmus, TF Pan, L Xia, AGE Collins - PLOS Computational …, 2024 - journals.plos.org
Computational cognitive models have been used extensively to formalize cognitive
processes. Model parameters offer a simple way to quantify individual differences in how …

Differential Aging Effects on Implicit and Explicit Sensorimotor Learning

E Cisneros, S Karny, RB Ivry, JS Tsay - bioRxiv, 2024 - biorxiv.org
Deterioration in motor control is a hallmark of aging, significantly contributing to a decline in
quality of life. More controversial is the question of whether and how aging impacts …

Working Memory Guides Action Valuation in Model-based Decision-making Strategy

Z Zuo, LZ Yang, H Wang, H Li - Journal of Cognitive Neuroscience, 2024 - direct.mit.edu
Humans use both model-free (or habitual) and model-based (or goal-directed) strategies in
sequential decision-making. Working memory (WM) is essential for the model-based …

Reinforcement Learning: A Computational Framework of Cognition

M Rmus - 2024 - search.proquest.com
The thesis investigates applications and extensions of reinforcement learning (RL)
algorithms to modeling human cognition, and focuses on development of new tools for fitting …

Investigating the role of age and sex on the affective and cognitive consequences of alcohol binge-drinking

CL Jimenez Chavez - 2024 - escholarship.org
This dissertation investigates how age of drinking onset and biological sex influence the
affective and cognitive consequences that follow from a history of alcohol binge-drinking …

Investigating the Role of Age and Sex on the Affective and Cognitive Consequences of Alcohol Binge-Drinking

CLJ Chavez - 2024 - search.proquest.com
This dissertation investigates how age of drinking onset and biological sex influence the
affective and cognitive consequences that follow from a history of alcohol binge-drinking …

Enhancing Cognitive Function in Aging: Investigating Amphetamine's Role in Norepinephrine-Mediated Memory Improvement

S Scognamiglio - 2023 - search.proquest.com
Cognitive aging represents the decline in cognitive abilities as a consequence of the aging
process, and it is characterized by the hypo-functionality of different cognitive domains such …

[PDF][PDF] RL or not RL? Parsing the processes that support human reward-based learning.

AGE Collins - files.osf.io
Reinforcement Learning (RL) algorithms have had tremendous success accounting for
reward-based learning across species, in both behavior and brain. In particular, simple …

[引用][C] Determinants of age-related brain iron accumulation and links to neurocognitive functions

J Gustavsson - 2024 - Inst för neurobiologi, vårdvetenskap …