Christopher John Honey

The paper provides an fMRI dataset of verbalized spontaneous thought with transcripts, timestamps, and self-report measures for studying neural dynamics and individual differences.

The paper investigates mental continuity during task interruption, identifying a cortical pathway in the posterior medial cortex that sustains narrative context alongside the hippocampus.

This study investigates neural mechanisms of thought transitions during memory recall and future thinking using fMRI, finding that default and control networks shape semantic structure and variability of thought trajectories.

This study introduces Relative Phase Analysis to reveal sub-second switches between top-down and bottom-up brain modes, showing distinct dynamics in consciousness and ADHD.

This study shows that visual statistical learning requires active processing of stimulus relationships rather than passive attention, as performance improved with more relational task demands.

The paper shows that low-frequency oscillations in the human cerebral cortex are linked to delayed inter-regional couplings during auditory tasks.

The paper shows that social-affective features, not visual or action features, best predict perceived similarity of observed actions in behavioral and neural experiments.

The paper introduces a benchmark dataset of fMRI data from human subjects listening to naturalistic stories for evaluating language and narrative comprehension models.

The paper investigates how prior information influences neural responses to new input, finding hierarchical alignment patterns and introducing a model to explain this process.

The paper investigates whether the hippocampus is necessary for long-timescale narrative information integration by comparing a hippocampal amnesic patient to healthy controls during narrative listening.

The paper investigates how mental rehearsal of speech transforms representations in sensorimotor and premotor cortex compared to higher-order semantic regions.

The paper examines the reliability and correlation of fMRI, ECoG, and EEG responses to natural stimuli across different brain regions and cohorts.

The paper tests whether visual serial dependence is object-specific by comparing effects within and between objects, finding no objecthood effect and inconsistent results with perceptual continuity explanations.

The paper examines how neural responses to time-compressed speech vary across auditory brain regions and relates these responses to speech intelligibility.

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