Florian Pieper

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.

BiPOLES is an optogenetic tool that allows bidirectional control of neuronal activity using two different light colors, enabling both excitation and inhibition of the same neurons in a single experiment.

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

This study shows that multi-frequency tACS has lasting effects on neural synchrony and audiovisual responses in anesthetized ferrets.

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.

The paper examines how functional connectivity in ferret cortex changes with isoflurane anesthesia depth, finding that topographical patterns remain similar despite changes in correlation strength and temporal dynamics.

This study shows that ferrets integrate auditory and visual stimuli in a statistically optimal way, reducing detection thresholds and speeding up reaction times.

The paper identifies coupling modes in cortico-tectal networks using neural activity patterns and shows high frequency coupling reflects anatomical connectivity and is governed by slow cortical oscillations.