Brandon S. Coventry

This paper introduces an ultra-low power discrete Fourier transform for neural sensing applications, showing energy and power improvements over existing methods.

This study investigates how infrared neural stimulation (INS) affects local field potentials in the auditory cortex of rats, revealing frequency-specific entrainment and nonlinear oscillations.

The paper provides a practical guide to Bayesian inference in neuroscience, demonstrating its application through regression and ANOVA models with rodent auditory data and offering an open-source toolkit.

This paper demonstrates that infrared neural stimulation (INS) provides spatially constrained responses in thalamocortical circuits and enables closed-loop control using deep reinforcement learning.