Mati Joshua

The paper identifies corticostriatal neurons in monkeys that encode reward and choice signals, challenging the assumption that these inputs only encode sensorimotor states.

This study investigates how the substantia nigra pars reticulata encodes decision-making in monkeys, showing a shift from representing optimal choices to encoding actual selections during the decision process.

The paper examines how the frontal eye field encodes three distinct eye movement behaviors and finds that neurons respond to multiple tasks, with overlapping and orthogonal population codes for different behaviors.

This study records SNpr neuron activity during eye movements and finds diverse firing patterns that suggest high-dimensional coding beyond simple movement gating.

The paper investigates whether cerebellar Purkinje cells use firing rate or spike synchrony to transmit signals to downstream neurons, finding that rate codes dominate.

The paper compares reward and movement signal coding in the basal ganglia and cerebellum using neural recordings from monkeys, finding stronger signals in the basal ganglia output structure.

The paper identifies fixational drift as arising from diffusive dynamics in central neural circuitry, specifically the oculomotor integrator, using primate data and theoretical modeling.

The paper quantifies how neural correlations in the frontal eye field affect eye movement behavior and shows their contribution is limited.

This study shows that motor adaptation can occur without erroneous movements, challenging the trial-and-error model and suggesting alternative mechanisms for learning.

This study shows that climbing fibers in the cerebellum encode expected reward size during a task, suggesting a broader role in associative learning.

This paper improves complex spike sorting by using low frequency extracellular signals and PCA, achieving better separation from noise.

This study investigates cerebellar climbing fiber activity in mice during motor learning, finding that CFs are preferentially driven by task parameters predicting reward outcomes, suggesting a role in learned sensorimotor predictions.