Michael P. Silvernagel

Non-saturating dimensionality, contextual dependence, and the limits of unsupervised decoding in motor cortex

The paper shows that unsupervised dimensionality in motor cortex does not reflect movement complexity but instead scales with neuron count and is context-dependent, challenging assumptions about neural representation.

Stiefel Manifold Dynamical Systems for Tracking Representational Drift

This paper introduces SMDS, a model that accounts for representational drift in neural data, outperforming LDS in log-likelihood and requiring fewer latent dimensions.

Context-dependent low-dimensional neural dynamics unfold in distinct subspaces, dimensionality, and dynamical strength for natural walking and reaching

The paper compares neural dynamics during walking and reaching, finding that reaching has higher dimensionality and faster decay in dynamical systems than walking.