Single and multiple systems in categorization and category learning

JP Minda, CL Roark, P Kalra, A Cruz - Nature Reviews Psychology, 2024 - nature.com
Learning to classify the world into categories is fundamental to human cognition. Some
categorizations seem to be made explicitly based on rules whereas other categorizations …

The effect of age on task switching: updated and extended meta-analyses

EH Chen, S Hsieh - Psychological Research, 2023 - Springer
Cognitive flexibility is one of the crucial abilities for human survival. As people get older,
whether their flexibility ability will be affected is one of the core research topics in aging …

Stable, flexible, common, and distinct behaviors support rule-based and information-integration category learning

CL Roark, B Chandrasekaran - npj Science of Learning, 2023 - nature.com
The ability to organize variable sensory signals into discrete categories is a fundamental
process in human cognition thought to underlie many real-world learning problems …

Personalized adaptive training improves performance at a professional first-person shooter action videogame

F Neri, CL Smeralda, D Momi, G Sprugnoli… - Frontiers in …, 2021 - frontiersin.org
First-Person Shooter (FPS) game experience can be transferred to untrained cognitive
functions such as attention, visual short-term memory, spatial cognition, and decision …

Ferritin Is Secreted from Primary Cultured Astrocyte in Response to Iron Treatment via TRPML1-Mediated Exocytosis

X Yu, Z **ao, J **e, H Xu - Cells, 2023 - mdpi.com
Impaired iron homeostasis has been proven to be one of the critical contributors to the
pathology of Parkinson's disease (PD). Ferritin is considered an intracellular protein …

Unique motor plans facilitate learning during task switching, but at the expense of greater switch costs

MJ Crossley, V Filoteo, T Maddox, FG Ashby - 2023 - osf.io
Many factors influence task switching, including attention, motor resources, and the different
types of memory systems required for each component task. Even so, prior task-switching …

A computational model of prefrontal and striatal interactions in perceptual category learning

S Hélie, LX Lim, MJ Adkins, TS Redick - Brain and cognition, 2023 - Elsevier
Work on multiple-system theories of cognition mostly focused on the systems themselves,
while limited work has been devoted to understanding the interactions between systems …

Common and distinct factors supporting rule-based and information-integration category learning

CL Roark, B Chandrasekaran - 2021 - osf.io
The ability to organize variable sensory signals into discrete categories is a fundamental
process in human cognition thought to underlie many real-world learning problems …

The Neurocognitive Profile of Patients with Parkinson's Disease

AT Magnante - 2022 - search.proquest.com
Parkinson's disease (PD) is a neurological disorder characterized primarily by motor deficits;
however, cognitive impairment is a common non-motor complication of PD. Like motor …

A computational model of the interaction of neurobiological circuits for category learning

LX Lim - 2020 - search.proquest.com
The goal of this proposal is to design a neurobiologically-based model that describes the
switching mechanism in category learning based on existing category learning theory and …