Matthew A. Smith

This study investigates how rare rewards affect performance and neural activity in rhesus monkeys during a color change detection task, finding detrimental changes in V4 population activity linked to perceptual choking.

This study uses a brain-computer interface to show animals can regulate prefrontal cortex activity through real-time neurofeedback, reducing neural fluctuations and linking this to arousal regulation.

This study investigates the role of locus coeruleus (LC) neurons in perceptual decision making by dissociating sensory and motor components through a visual task in rhesus macaques, finding that most LC neurons respond to saccadic motor output rather than sensory stimuli.

This study shows that reward associations enhance neuronal responses in area V2 of macaque monkeys, demonstrating reward-based modulation in early visual cortical areas.

This study shows that prefrontal hemispheres use a redundant, weakly coupled strategy to adapt working memory performance based on task demands.

The paper uses dual hemisphere recordings and a novel statistical method to show shared neuronal variability across prefrontal cortex populations linked to arousal.

This study links reaction time variability to physiological markers of arousal across different timescales in rhesus macaques.

This study shows that respiratory timing features, not amplitude, predict visual detection performance in nonhuman primates.

This paper develops compact deep neural network models that predict macaque V4 neural responses with high accuracy while using significantly fewer parameters than existing models.

This study investigates how population activity in the frontal eye field (FEF) is integrated to generate saccadic eye movements using multi-site microstimulation in monkeys.

This study investigates how working memory in the dlPFC remains robust to microstimulation perturbations, finding that task performance is largely unaffected despite changes in neural activity.

This paper introduces SNOPS, a method to automatically customize spiking network models to match large-scale neuronal recordings, revealing limitations of current models.

The paper shows that recent visual experience reshapes V4 neuronal activity, leading to improved perceptual performance through reduced neural responses and increased signal separation.

This study identifies a low-dimensional arousal signal in the superior colliculus that is distinct from movement planning signals in monkeys performing a memory-guided saccade task.

This study shows that transcranial focused ultrasound can modulate activity in the extrastriate visual cortex with subregion specificity when targeting the prefrontal cortex in rhesus macaques.

The paper links EEG signals to a global arousal signature in neuronal population recordings during a change detection task.

The paper shows that eye movements correlate with a slow neural activity drift across visual and prefrontal cortex, indicating a global brain state related to arousal.

The paper establishes mathematical and empirical links between pairwise neuronal correlations and dimensionality reduction metrics, showing that attention-related changes in mean pairwise correlation arise from distinct population-wide covariability shifts.

The paper examines how visual and saccadic signals shift in prefrontal cortical regions during a memory-guided saccade task in macaques, revealing differences in dynamics and spatial response profiles between area 8Ar and FEF.

The paper identifies slow neural activity drift in macaque visual and prefrontal cortex as an impulsivity signal influencing perceptual decisions over time.

This paper develops a neural network for real-time spike classification in neural signals, improving decoding accuracy by removing noise waveforms.

The paper investigates altered functional interactions among neurons in the visual cortex of amblyopic macaques, finding reduced visual information carried by responses driven through the amblyopic eye.