Emergent analogical reasoning in large language models
The recent advent of large language models has reinvigorated debate over whether human
cognitive capacities might emerge in such generic models given sufficient training data. Of …
cognitive capacities might emerge in such generic models given sufficient training data. Of …
Cross-cultural differences in visuo-spatial processing and the culture-fairness of visuo-spatial intelligence tests: An integrative review and a model for matrices tasks
C Gonthier - Cognitive Research: Principles and Implications, 2022 - Springer
Visuo-spatial reasoning tests, such as Raven's matrices, Cattell's culture-fair test, or various
subtests of the Wechsler scales, are frequently used to estimate intelligence scores in the …
subtests of the Wechsler scales, are frequently used to estimate intelligence scores in the …
Deep learning methods for abstract visual reasoning: A survey on raven's progressive matrices
Abstract visual reasoning (AVR) domain encompasses problems solving which requires the
ability to reason about relations among entities present in a given scene. While humans …
ability to reason about relations among entities present in a given scene. While humans …
The role of individual differences in cognitive training and transfer
Working memory (WM) training has recently become a topic of intense interest and
controversy. Although several recent studies have reported near-and far-transfer effects as a …
controversy. Although several recent studies have reported near-and far-transfer effects as a …
Closed-loop slow-wave tACS improves sleep-dependent long-term memory generalization by modulating endogenous oscillations
Benefits in long-term memory retention and generalization have been shown to be related to
sleep-dependent processes, which correlate with neural oscillations as measured by …
sleep-dependent processes, which correlate with neural oscillations as measured by …
Individualized perturbation of the human connectome reveals reproducible biomarkers of network dynamics relevant to cognition
Large-scale brain networks are often described using resting-state functional magnetic
resonance imaging (fMRI). However, the blood oxygenation level-dependent (BOLD) signal …
resonance imaging (fMRI). However, the blood oxygenation level-dependent (BOLD) signal …
Frequency-dependent enhancement of fluid intelligence induced by transcranial oscillatory potentials
Everyday problem solving requires the ability to go beyond experience by efficiently
encoding and manipulating new information, ie, fluid intelligence (Gf)[1]. Performance in …
encoding and manipulating new information, ie, fluid intelligence (Gf)[1]. Performance in …
Reasoning abilities of large language models: In-depth analysis on the abstraction and reasoning corpus
The existing methods for evaluating the inference abilities of Large Language Models
(LLMs) have been predominantly results-centric, making it challenging to assess the …
(LLMs) have been predominantly results-centric, making it challenging to assess the …
Near transfer to an unrelated N-back task mediates the effect of N-back working memory training on matrix reasoning
The extent to which working memory training improves performance on untrained tasks is
highly controversial. Here we address this controversy by testing the hypothesis that far …
highly controversial. Here we address this controversy by testing the hypothesis that far …
Individual differences and specificity of prefrontal gamma frequency-tACS on fluid intelligence capabilities
Emerging evidence suggests that transcranial alternating current stimulation (tACS) is an
effective, frequency-specific modulator of endogenous brain oscillations, with the potential to …
effective, frequency-specific modulator of endogenous brain oscillations, with the potential to …