Mehrdad Jazayeri

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 investigates how neural networks in the medial frontal cortex of primates control timing flexibility by showing that firing rate profiles are temporally stretched or compressed for different intervals, with speed control originating within cortical networks.

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.