Mark T. Wallace

The paper investigates audiovisual motion integration, finding visual dominance and attentional modulation in motion perception tasks.

The paper records single neurons in macaque dorsolateral prefrontal cortex during visual, auditory, and audiovisual motion, showing multisensory integration and nonlinear responses.

This paper introduces BrainState, a self-supervised method to model complex brain states from EEG data, applied to epilepsy patients to capture pre-seizure states and neuromodulation effects.

This study compares information content in local field potentials (LFP) and near-field LFP (nfLFP) to determine which better indexes local neural computations, finding nfLFP more informative for stimulus processing.

The paper tests the interictal suppression hypothesis in focal epilepsy using electrographic and structural data to identify seizure onset zones and develop a classification model with high accuracy.

This paper develops a deep learning model to classify seizure onset zones using cortico-cortical evoked potentials from intracranial neurostimulation recordings.

This study shows that blurry images enhance early temporal similarity between neural signals and CNNs, revealing how image perturbations affect CNN-Brain correspondence.

The paper uses machine learning to track stimulus-specific information flow across layers of visual cortex, confirming prior model predictions about how information is processed in the canonical cortical microcircuit.

This study investigates PPS remapping in ASD using psychophysical, EEG, and neural network models, finding reduced flexibility due to E/I imbalances.

The paper shows that multisensory integration enhances neural encoding of inanimate objects more than animate ones, improving object recognition through shared brain representations.

The paper demonstrates that peri-personal space encoding adapts rapidly to sensory history, supported by psychophysical, electrophysiological, and neural network modeling evidence.

This study investigates how the brain represents stimulus presence and modal identity using neural recordings from non-human primates, finding distinct spatiotemporal dynamics in S1 and PMv cortices.

The paper analyzes neuronal activity in non-human primates under anesthesia to compare consciousness theories, finding convergent neurons show greater consciousness-related properties than integrative neurons.

The paper investigates how individual differences in temporal processing affect multisensory perception by measuring the impact of audiovisual correlation strength.