Conrado A. Bosman

Neuroline integrates multimodal neurophysiology data into a standardized format, enabling FAIR data sharing and cross-modal analysis.

The paper investigates variability in local field potentials (LFP) and proposes a new metric, CV(log(power ratio)), to quantify power variability, showing its reduction with stimulation and potential inverse relation to power changes.

This study shows that mouse V1 neurons switch orientation preference between standard and deviant visual stimuli, revealing context-dependent flexibility in predictive coding.

The paper investigates audiovisual processing differences in Fragile X syndrome mice, finding impaired responses in the primary visual cortex but not the posterior parietal cortex.

This study examines SWA dynamics during mouse awakening from anesthesia, showing state-dependent changes in spectral power and propagation patterns across brain regions.

The paper models learning effects in macaque visual cortex using Dynamic Causal Modeling to explain repetition-induced increases in gamma synchronization.

The paper simulates non-local information processing in associative brain regions using holographic wave patterns and compares results with electrophysiology and EEG data.

The paper shows that gamma and beta synchronization between brain areas improves behavioral performance during selective attention tasks.

The paper models selective visual attention in macaques using Dynamic Causal Modeling to show that intrinsic V1 modulation explains attention effects in V1-V4 communication through changes in inhibition.

The paper examines how pre-stimulus arousal variability affects post-stimulus neural activity in ferret visual and parietal cortices during quiet wakefulness.

A neural model of non-local information processing on a neocolumnar architecture replicates electrophysiological data from primates, showing high-frequency activity during visual perception.

The paper investigates how anatomical connection strength relates to rhythmic synchronization in macaque cortex, finding that strength predicts synchronization and vice versa, with frequency and direction specificity.

The paper analyzes gamma oscillations in macaque V1, showing they can be modeled by a linear harmonic oscillator driven by noise, capturing amplitude-duration correlations and other features.

The paper investigates brain rhythms during attention shifting and deployment in macaques, finding distinct frequency band modulations in different brain areas.

The paper shows that gamma synchronization between V1 and V4 in macaques predicts reaction times and improves behavioral performance through optimal phase relations.

This study identifies a theta rhythm in macaque visual cortex and shows its attentional modulation and relationship with gamma oscillations.

This study reconstructs resting-state networks from macaque ECoG data using source-space independent component analysis, identifying seven cortical generators in the motor system with spatially continuous dynamics.

The paper investigates how top-down beta-band influences from parietal area 7a enhance bottom-up gamma-band processing in visual areas V1 and V4 during attentional tasks.