Ryan Chace Williamson

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 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.

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.