Jason B. Mattingley

This study investigates face pareidolia by analyzing EEG data during RSVP streams, showing that it results from both feedforward and top-down processes.

This study shows that different analysis methods greatly affect the accuracy of lesion-symptom mapping, with specific designs improving sensitivity and specificity.

The paper investigates how prior exposure and image quality affect neural and behavioural predictions in object recognition using EEG.

This study compares sharpening and dampening theories of expectation's role in visual neural fidelity using fMRI and EEG, finding evidence supporting dampening over sharpening.

The paper examines how semantic category and presentation frequency-based expectations affect neural prediction effects using EEG and multivariate pattern analysis in real-world object stimuli.

The paper investigates how prior expectations influence perceptual decisions and neural activity during a motion estimation task, finding that precision-weighted integration occurs late in decision processes.

The paper uses inverted encoding to analyze EEG responses to audiovisual stimuli and finds super-additive multisensory integration in multivariate patterns, not univariate responses.

This study investigates how alpha-band oscillations affect visual sensitivity by combining power and phase in a model of pulsed-inhibition, finding that power suppresses sensitivity more than phase.

This study shows that sleep-like slow waves in wakefulness correlate with perceptual decision-making deficits in stroke patients, indicating network destabilization beyond the lesion site.

The paper shows that low-level image features predict perceived similarity between naturalistic scene regions, supporting the role of basic visual features in scene organization.

This study investigates orientation adaptation during naturalistic film viewing and finds stronger adaptation to cardinal orientations but weaker overall effects compared to standard tilt-aftereffect paradigms.

This paper investigates the neural mechanisms of perceptual capacity limits, finding that aperiodic slope, not alpha oscillations, predicts individual differences in subitizing capacity.

The paper shows that unexpected visual stimuli lead to faster and more accurate responses, with physiological evidence of surprise, indicating prioritization of unexpected events in visual processing.

The paper investigates auditory stimulus-specific adaptation and deviance detection in larval zebrafish using calcium imaging, finding evidence for adaptation but not deviance detection.

The paper develops a common algorithm for confidence judgements across visual, auditory, and audio-visual decisions, showing scaled evidence strength models outperform others and suggest a shared algorithm for confidence.

The paper investigates how attention affects neural responses in the parieto-frontal network using TMS and EEG, finding reduced theta/gamma variability in IPS and frontal regions during contralateral attention.

This study shows that prefrontal cortex stimulation with tDCS improves multitasking performance by increasing representational overlap in brain activity patterns.

The paper investigates how oscillation phase affects orientation perception in a visual tilt illusion, finding robust fluctuations in perception across different phases of alpha and theta oscillations.

Neurodesk provides a portable and reproducible neuroimaging analysis platform using software containers to enable accessible and flexible data analysis pipelines.

This study identifies neurophysiological mechanisms causing slowed contralesional response times after stroke by analyzing EEG data from stroke patients and healthy controls.

This study shows that visual attention operates in real-world coordinates, with high precision and minimal disruption during eye movements.

The paper investigates whether confidence judgments in visual and auditory decisions share common computational processes, finding that scaled evidence strength models best explain the data across modalities.

The paper investigates how participants integrate information from past and future task steps, finding that future-relevant distractors influence decisions but do not reliably capture attention.

The paper investigates the relationship between white matter microstructure and visual working memory precision using diffusion MRI and mixture distribution modeling.

The paper shows that unexpected visual stimuli increase neuronal response gain in mouse V1, combining adaptation and expectation effects in a computational model.

The paper shows that visual awareness during the attentional blink depends on the similarity of neural representations of targets, with dissimilar representations leading to the blink effect.

This study tests if slow-oscillatory tACS affects synaptic plasticity in human motor cortex during learning and PAS, finding no evidence of modulation.

The paper investigates how perceptual inferences balance long-term scene priors and immediate contextual information using naturalistic stimuli and a perceptual inference task.

The paper investigates context adjustment in autism using auditory oddball paradigms, finding no group differences in early responses but larger evoked responses in autism associated with auditory sensitivities.

The paper tests the hypothesis that target detection in natural images is inversely related to spatial similarity with the background, finding that high similarity increases detectability due to phase alignment.