Gijs Plomp

Connectome spectrum electromagnetic tomography: a method to reconstruct electrical brain source-networks at high-spatial resolution

This paper introduces CSET, a method that reconstructs electrical brain source-networks with high spatial resolution using diffusion MRI and EEG data.

Neural integration and segregation revealed by a joint time-vertex connectome spectral analysis

This paper introduces a framework to analyze brain activity's spectral content in time and space, revealing how integration and segregation mechanisms operate at different frequency bands and relate to behavior.

Source imaging of high-density visual evoked potentials with multi-scale brain parcellations and connectomes

The paper introduces a multimodal neuroimaging dataset containing EEG, MRI, and behavioral data for studying visual evoked potentials and brain connectivity.

Structure supports function: informing directed and dynamic functional connectivity with anatomical priors

The paper introduces a linear adaptive filter that uses structural connectivity priors to improve dynamic and directed functional connectivity estimation in electrophysiological data.

The connectome spectrum as a canonical basis for a sparse representation of fast brain activity

This paper introduces the connectome spectrum as a method to represent brain activity using structural connectivity, showing it provides a more compact and informative representation of fast brain dynamics.

Multiple concurrent feedforward and feedback streams in a cortical hierarchy

The paper identifies two feedforward and two feedback networks in visual cortex using laminar recordings from awake mice, revealing distinct functional properties and roles.

Nested oscillations and brain connectivity during sequential stages of feature-based attention

The paper examines how feature-based attention affects brain oscillations and connectivity using fMRI and EEG, revealing distinct roles of beta and gamma rhythms in anticipatory and reactive processing.

Modeling time-varying brain networks with a self-tuning optimized Kalman filter

This paper introduces a new Kalman filter algorithm, STOK, for modeling dynamic brain networks and shows it outperforms classical methods in tracking time-varying connectivity patterns.

Connectome spectral analysis to track EEG task dynamics on a subsecond scale

This paper introduces a method using network harmonics to track fast EEG dynamics during a face detection task with subsecond resolution.

Laws of concatenated perception: Vision goes for novelty, Decisions for perseverance

The paper shows that human visual perception is shaped by two opposing forces: sensory adaptation repelling from previous stimuli and decisional traces attracting toward previous responses, challenging claims about continuity fields.

Layer 3 dynamically coordinates columnar activity according to spatial context

This study identifies how layer 3 dynamically coordinates columnar activity in V1 based on spatial context through functional connectivity analysis.

Gating by induced α-γ asynchrony in selective attention

This study shows how selective attention modulates cross-frequency coupling in visual cortex by disrupting top-down parietal influences.

Early alterations of social brain networks in young children with autism

The paper investigates early brain network alterations in toddlers and preschoolers with autism using gaze patterns and brain activity during social scene exploration, finding increased hyper-activity and hyper-connectivity in social brain networks.