Andrew R. Dykstra

The paper investigates neural correlates of auditory perception, deviance processing, and task demands using a no-report inattentional deafness paradigm across three experimental phases.

This paper uses biophysical modeling to investigate the neurophysiology of mismatch negativity (MMN) in humans, identifying specific cortical layers and circuits involved in deviant processing.

This paper introduces a multilayer MEG source modelling framework to enable depth-resolved laminar inference in humans, showing it aligns with known neural circuit motifs.

The paper uses MEG and EEG to identify limbic sources of the P3 component, including retrosplenial cortex and hippocampus, and shows increased source specificity with combined data.

The paper examines how perceptual awareness of near-threshold tones relates to auditory cortex activity and pupil dilation, finding a gradual scaling rather than a threshold mechanism.

The paper identifies a neural signature of conscious speech perception using a sine-wave speech paradigm with no-report trials, finding a left-lateralized negativity independent of task relevance.

The paper identifies the retro-splenial cortex as the dominant source of the parietal P3 response in EEG using M/EEG, fMRI, and simulation studies.

The paper investigates how auditory cortex activity differs between hemispheres during tasks involving attention and masking, finding left AC supports awareness while right AC is more automatic.

This paper uses biophysical modeling to show that the auditory awareness negativity (AAN) arises from specific cortical layers and cell types in the auditory cortex.

iELVis localizes and visualizes intracranial electrodes using MRI and neuroimaging tools, providing accurate brain shift correction and interactive 3D/2D visualization with functional overlays.