Evan D. Remington

The paper identifies a new excitatory neuron type in marmoset auditory cortex, characterized by narrow-spike burst firing and distinct response properties.

The paper investigates how marmoset auditory cortex neurons respond to sound locations inside and outside their receptive fields during task engagement, finding increased firing rates outside RFs in certain brain areas.

This study measures sound localization acuity in common marmosets using operant conditioning, finding minimum audible angles of 13-22 degrees for horizontal and vertical sound locations.

The paper shows that sensorimotor computations in monkeys are controlled by dynamical system principles, using inputs and initial conditions to adjust behavior.

This paper develops a computational model showing how the cerebellum could learn prior distributions of time intervals and support Bayesian temporal estimation.

The paper tests whether humans use Bayesian inference to compensate for noise in sensorimotor computations, finding that inference occurs after sensorimotor transformations rather than before.