Joshua I. Glaser

This study examines how motor cortex activity in mice changes during unimanual and bimanual food handling tasks, revealing distinct roles for different motor areas.

The paper shows that motor and sensory signals in somatosensory cortex are integrated through orthogonal population subspaces to enable accurate body state estimation and perturbation decoding.

This study shows that high gamma activity (HGA) in the cortex is not primarily generated by local spikes but by summed postsynaptic potentials from widely distributed neurons.

The paper shows that neural activity perturbations improve the accuracy of inferring across-region interactions in brain models.

The paper shows that a deterministic drive across brain regions predicts action timing, which synergizes with trial-specific and within-trial noise to time self-initiated actions.

This study investigates neural dynamics in motor cortex and striatum across diverse motor behaviors in mice, finding a hierarchical organization that applies to both regions despite differences in behavior specificity and muscle activity correlation.

This paper introduces SCA, an unsupervised method for identifying interpretable latent factors in neural data, and shows its effectiveness across different datasets.

This study shows that motor units are flexibly controlled by the cortex, challenging the traditional view of common drive and rigid recruitment.

This paper develops a DNA-based recording system using TdT to encode environmental signals with minutes resolution.

Each recorded population gets its own latent dynamics, a discrete state sets how the populations couple, and the switch rules say which population triggers the change.

The paper investigates how area 2 of the primary somatosensory cortex encodes whole arm kinematics during reaching tasks, finding that neural activity reflects whole arm movement but varies between active and passive conditions.

The paper investigates how the brain represents preliminary and definitive action plans during natural scene search, identifying two classes of neurons in the frontal eye field.

This paper introduces TURTLES, a DNA-based method to record temporal environmental signals with high resolution, achieving 2-minute accuracy over 60 minutes.

The paper shows that dorsal premotor cortex encodes probability distributions of upcoming movements based on body state, while primary motor cortex does not.