Andrés Canales‐Johnson

This paper introduces TWINDEX, a method for detecting and analyzing neural traveling waves in 3D spatiotemporal data, and applies it to ECoG and EEG data to identify alpha/low-beta waves with directional propagation.

The paper introduces DIFF, a method to map directed information flow in cortical networks, and shows it reveals distinct trajectories from traveling waves in simulations and electrophysiological recordings.

This study examines whether critical brain dynamics correlate with effortless awareness during meditation, finding that subjective effortlessness is linked to increased long-range temporal correlations, particularly in meditators.

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.

The paper investigates the roles of broadband and narrowband gamma oscillations in visual information encoding using ECoG and LFP data from humans and macaques, finding broadband signals to be synergistic and narrowband gamma to be redundant.

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

This study uses EEG and Temporal Experience Tracing to characterize the neurophenomenological signatures of pure awareness during Transcendental Meditation compared to mental counting.

This study links intelligence in children to neural efficiency in the attentional orienting network, showing reduced information sharing correlates with higher IQ.

This study examines how linear and nonlinear brain connectivity changes with age during social interactions, finding that nonlinear measures better capture developmental differences in neural processing.

The paper shows that odorant identity is encoded through nonlinear interactions in the olfactory system of rainbow trout, as revealed by information-theoretic metrics in LFPs.

This study examines neural connectivity during advanced meditation using EEG and phenomenological ratings, finding that nonlinear dynamics better distinguish meditation states than linear metrics.

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

The paper determines the minimal exposure durations required for processing different stimulus attributes in human vision, revealing processing priorities and the role of face orientation.

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 investigates whether cortical interactions during prediction error processing are synergistic or redundant, finding that both ERPs and broadband signals show high synergy across the cortical hierarchy.

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.

This paper examines optimal window size selection for EEG connectivity analysis in infants, adults, and dyadic pairs, finding that optimal sizes vary depending on the metric and dataset.

The paper uses eye-movement analysis and information theory to separate perception from report in bistable visual stimuli, showing distinct neural mechanisms for integration and differentiation.

This study examines how internal and external attentional focus strategies affect kinetic, cortical, muscular, and corticomuscular activity during an isometric force precision task, finding internal focus reduces force accuracy and alters neural and muscular activity.

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.

The paper investigates whether prediction error in the primate auditory cortex is linked to neural oscillations or broadband activity, finding that broadband activity captures the prediction error response.

The paper compares neural activity during hypnotic hallucination, mental imagery, and visual perception, finding greater right-hemisphere top-down activation in hallucination.

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

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.

The paper examines neural information dynamics during bistable perception, finding distinct patterns of integration and differentiation in neural activity for endogenously and exogenously driven percepts.