Mark T. Wallace

Dissociable Stimulus- and Response-Driven Serial Dependence Effects in Auditory, Visual, and Audiovisual Motion Judgments

Behavioral evidence for visually dominant audiovisual motion integration

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

Integration of Audiovisual Motion in Dorsolateral Prefrontal Cortical Neurons

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

Brain-state modeling using electroencephalography: Application to adaptive closed-loop neuromodulation for epilepsy

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.

Near-field potentials index local neural computations more accurately than population spiking

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 Interictal Suppression Hypothesis in Focal Epilepsy: Electrographic and Structural Evaluation

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.

Multi-channel deep learning with intracranial neurostimulation can localize seizure onset zones in humans

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

Getting the gist faster: Blurry images enhance the early temporal similarity between neural signals and convolutional neural networks

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

Stimulus-specific information flow across the canonical cortical microcircuit

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.

Inflexible Updating of the Self-Other Divide During a Social Context in Autism; Psychophysical, Electrophysiological, and Neural Network Modeling Evidence

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

Selective enhancement of object representations through multisensory integration

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

Rapid Recalibration of Peri-Personal Space; Psychophysical, Electrophysiological, and Neural Network Modeling Evidence

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

The neural computations for stimulus presence and modal identity diverge along a shared circuit

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.

Leveraging non-human primate multisensory neurons and circuits in assessing consciousness theory

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.

Multisensory perception reflects individual differences in processing temporal correlations

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