Tristan Andres Bekinschtein

The paper shows that multisensory perceptual decision-making remains accurate even as alertness decreases, with specific changes in decision processes and neural patterns.

This study tracks dose-dependent affective dynamics during DMT's acute effects using multimodal physiological signals and phenomenological reports.

The paper shows that thalamic and cortical signals work together to represent auditory prediction errors, with synergistic interactions that go beyond simple relay.

This study investigates how attention modulates prediction-error (PE) encoding in thalamic and cortical circuits during learning, revealing distinct informational dynamics and reorganization of PE representations.

This study investigates how reduced alertness affects spatial attention by analyzing EEG data from participants during wakefulness and drowsiness, revealing changes in interhemispheric connectivity.

This study shows that multisensory integration remains functional during drowsiness, with preserved core computations but altered neural dynamics.

The paper analyzes prediction error processing during sleep using information-theoretic methods, finding reduced and redundant neural information with deeper sleep and REM.

The paper uses EEG and Lempel-Ziv complexity to assess cognitive reserve in elderly participants, finding a significant interaction between arousal and performance.

This study investigates crossmodal prediction errors using EEG, finding sustained cortical responses and reconfigured networks compared to unimodal errors.

This study uses intracranial recordings to show the brain continuously encodes structure in random auditory stimuli through transitional probabilities, involving non-auditory brain regions.

This study examines the neural and subjective effects of medium- and high-dose DMT using EEG and experience tracking, finding that higher doses induce more intense experiences but less strong neural complexity correlations.

This study investigates how the brain processes multi-feature prediction errors across different cortical levels using EEG and finds supramodal and modality-specific neural responses.

This study examines how high physical activation affects neural markers of cognitive control, finding no significant behavioral impact but unreliable neural measures.

The paper investigates how breathwork-induced psychedelic experiences affect neural dynamics using EEG and subjective reporting.

This study examines how cognitive control varies during high and low arousal states using an auditory conflict task, finding distinct behavioral dynamics in decision-making processes.

The paper examines neural connectivity and executive function in socially vulnerable individuals, finding that delta phase synchrony and education levels predict group membership and cognitive performance.

The paper shows that during decreased alertness, active task engagement increases frontoparietal and long-range brain synchronization, while passive listening increases thalamocortical synchronization.

The paper investigates how reward affects memory encoding and recall, finding context-dependent effects and supporting a model of strategic and context-driven mechanisms.

The paper investigates how sensory target detection in the human cortex operates at local and global timescales, revealing a hierarchy of supramodal dynamics across different sensory modalities.

This study investigates whether high-melanopic light affects sleep and vigilance, finding no differential effects despite melatonin suppression.

The paper introduces a method to quantitatively analyze subjective meditation experiences, identifying recurring states and their dynamics across different meditation styles.

This study examines how ketamine and sleep stages affect neural complexity in cats using Lempel-Ziv compression, finding dose-dependent changes and differences across brain regions.

This study examines how decreasing alertness affects perceptual decision-making by analyzing neural and behavioral dynamics in humans using EEG and computational models.

This study examines fluctuations in neural complexity during wakefulness using MEG and fMRI, finding links to conscious level and cognitive performance.

The paper investigates how high and low arousal levels affect cognitive flexibility during probabilistic learning in humans, finding distinct decision-making patterns under each condition.

The paper shows conflict detection in sensory input requires attention to at least one conflicting feature, while basic sensory processing occurs without attention.

The paper examines how auditory neural responses change across the sleep-wake cycle, finding state- and stimulus-dependent reorganization of auditory processing.

This study investigates neural phase synchronization during visual face imagery, finding gamma-range long-range synchrony between frontoparietal and occipitoparietal regions and theta-range short-range frontal synchrony.

The paper investigates how natural fluctuations in alertness affect cognitive control by analyzing neural and behavioral responses during a conflict task under varying alertness conditions.

This study investigates how changes in wakefulness affect behavioural and neural markers of conscious awareness in humans.