Carlos González‐García

The paper investigates how memory retrieval adapts over time by using typicality-guided cues while maintaining access to specific details.

This study investigates how sex/gender stereotypes influence face perception by manipulating expectations during emotion and sex categorization tasks, revealing task-dependent effects on neural coding and behavior.

The paper investigates how the brain encodes novel task instructions using fMRI and finds that the MDN uses both abstract and high-dimensional coding to balance generalization and expressivity.

The paper shows that task-irrelevant visual cues can reactivate spatially matching working-memory contents, demonstrating involuntary attentional selection within working memory.

The paper investigates how visual ambiguity is resolved by analyzing a dataset of ambiguous images and human ratings, showing that higher-level visual features drive subjective identification.

This study shows insight intensity depends on both prediction accuracy and uncertainty, replicated across different datasets.

This study uses hierarchical drift-diffusion modelling to show semantic prioritisation in visual working memory is faster and more resilient to interference than perceptual details.

The paper shows that priority states of novel actions reshape their neural coding format dynamically and anticipatorily during working memory retention.

This study examines how metacognitive experiences like boredom and frustration evolve over time during a task and relate to cognitive processes that optimize performance.

This study uses EEG to examine how neural patterns dynamically represent and reconfigure information during novel verbal instruction tasks, revealing changes in dimensionality and abstraction over time.

The paper investigates how instructions pre-activate motor and perceptual neural states in somatomotor cortices during novel task preparation, finding pre-activation of response-related templates in action control regions.

The paper investigates whether verbal instructions about fear reversal can override memory traces of prior CS-US pairings in brain regions using fMRI and representational similarity analysis.

This study uses fMRI and RSA to show that frontoparietal cortex encodes exemplar-level stimulus information during visual classification, contrary to expectations that such coding would be restricted to posterior regions.

The paper uses EEG and multivariate pattern analysis to show that selective attention and perceptual expectation involve distinct neural mechanisms during preparatory processing.

The paper shows that theta-phase connectivity between medial prefrontal and posterior brain areas increases during the implementation of novel instructions compared to their maintenance, supporting a role for theta oscillations in task execution.

This study investigates how implementation and memorization demands affect neural encoding of task-relevant variables during novel instruction processing using fMRI and multivariate analyses.

The paper investigates brain circuits involved in metacognitive awareness of difficulty during action selection, finding increased activity in the rostral cingulate zone and anterior insula during subjective difficulty ratings.

The paper investigates how neural oscillations track the proceduralization of novel instructions through EEG recordings and time-frequency analysis, finding distinct theta, mu, and beta activity patterns during implementation versus maintenance.

This study uses fMRI to show that frontoparietal brain regions contain both procedural and declarative representations of novel instructions, with procedural activation predicting behavioral performance.

This study uses fMRI and multivariate pattern analysis to show that the ventral pre-supplementary motor area responds similarly to conflict and affect tasks, challenging the idea that these processes are independent.

The paper shows that different analysis workflows by 70 teams on the same fMRI dataset led to varied results, but meta-analysis found consensus in activated regions.

This study uses fMRI and representational similarity analysis to examine how brain regions organize novel task encoding based on control-related variables and reward expectations.

This study extends the dual model of cognitive control to novel instructed tasks, showing both fronto-parietal and cingulo-opercular networks are involved in transient and sustained control mechanisms.

This study compares pattern estimation methods and statistical tests in fMRI decoding, finding LSS and Stelzer's method most effective for handling overlapping signals in event-related designs.