Edgar E. Galindo-Leon

The paper uses PID to analyze how stimulus information is distributed and shared across cortical networks in ferrets during perceptual decisions, finding that faster decisions involve more redundant information across functionally coupled sites.

The paper shows that dynamic changes in large-scale functional connectivity before a task predict performance in an audiovisual detection task in ferrets.

The paper investigates causal interactions between phase and amplitude coupling in cortical networks using ECoG and MEG data, finding bidirectional or unidirectional information transmission depending on frequency bands.

The paper measures brain irreversibility in ferrets during different behavioral states to reveal functional hierarchies in cortical dynamics.

The paper investigates the relationship between intrinsic coupling modes (ICMs) in brain activity and structural connectivity in the ferret brain, showing strong correlations except when zero-lag synchronizations are removed.

This paper derives mathematical relations between brain connectivity measures from Gaussian data and tests their validity using simulations and empirical EEG data.

The paper shows that context-specific reconfiguration of intrinsic coupling modes in the brain facilitates multisensory integration through changes in local field potential responses.

The paper introduces a mesoscale electrode array for epicortical recordings that selectively captures synchronized spiking activity, improving signal quality and reducing noise compared to intracortical recordings.