Cognitive strategies in matrix-reasoning tasks have been investigated for the last decade and a half. Several steps were made since the first paper in the field, but the advances have …
Recent reports of training-induced gains on fluid intelligence tests have fueled an explosion of interest in cognitive training—now a billion-dollar industry. The interpretation of these …
We describe a computational model for solving problems from Raven's Progressive Matrices (RPM), a family of standardized intelligence tests. Existing computational models for solving …
MA McDaniel, MJ Cahill, M Robbins… - Journal of Experimental …, 2014 - psycnet.apa.org
We hypothesize that during training some learners may focus on acquiring the particular exemplars and responses associated with the exemplars (termed exemplar learners) …
Studies suggest that dopaminergic neurons report a unitary, global reward prediction error signal. However, learning in complex real-life tasks, in particular tasks that show hierarchical …
M Krol, M Krol - Judgment and Decision Making, 2017 - cambridge.org
We propose a novel method of using eye-tracking to study strategic decisions. The conventional approach is to hypothesize what eye-patterns should be observed if a given …
X Ma, Y Liu, R Clariana, C Gu, P Li - Behavior research methods, 2023 - Springer
Eye movements have been examined as an index of attention and comprehension during reading in the literature for over 30 years. Although eye-movement measurements are …
TR Hayes, AA Petrov - Journal of cognitive neuroscience, 2016 - direct.mit.edu
The ability to adaptively shift between exploration and exploitation control states is critical for optimizing behavioral performance. Converging evidence from primate electrophysiology …
From the earliest recordings of eye movements during active scene viewing to the present day, researchers have commonly reported individual differences in eye movement scan …