Mark M. Churchland

This study shows that motor cortex activity is high-dimensional and flexible, with distinct neural dynamics for different subskills during a force-tracking task.

The paper introduces Neuropixels 1.0-NHP, a high-density electrode array for large-scale neural recording in nonhuman primates, enabling recording from over 3000 single neurons.

DREDge improves motion correction in high-density extracellular recordings across species, enhancing reliability and reducing errors in electrophysiological data.

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

This paper introduces a spike sorting-free decoding method using density-based modeling to improve neural decoding performance without explicitly clustering spikes.

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

The paper shows that motor cortex activity during movement tasks reflects network-level strategies for generating muscle activity rather than direct muscle control.

This study develops a brain-machine interface for virtual self-motion by decoding neural activity from monkeys performing non-reaching arm movements, showing that different movement classes require distinct decoding strategies.

This study investigates how motor cortex activity contributes to the execution of rapid motor sequences and finds that elements are not fused but executed in parallel with temporal compression.

The paper compares trajectory geometries in the supplementary motor area (SMA) and primary motor cortex (M1) to infer different computational roles, finding SMA trajectories are helical and M1 are elliptical.

The paper investigates how arm holding is controlled by showing that postural fields integrate reach commands, even after corticospinal damage.

The paper shows that motor cortex signals for both arms are shared across hemispheres but partitioned in population-level activity to avoid conflicting movements.

This study shows that preparatory neural events in monkeys are conserved across different movement initiation contexts, but preparation can be temporally flexible and brief.