David Michael Kaplan

The paper shows that neural connectivity defines classes that organize computation and predicts how interventions affect dynamical motifs.

The paper shows that sensory uncertainty affects motor learning differently in blocked vs interleaved trial contexts when both feedforward and feedback processes are engaged, with abrupt changes in movement plans correlated with sensory uncertainty.

The paper investigates whether sensory uncertainty drives abrupt changes in motor plans during movement or acts as a context cue for context-specific motor learning, finding that an aiming model better explains the data.

The paper validates DeepLabCut for 3D pose estimation by comparing it to a reference system, showing close agreement in millimeter range.

This study shows expert surgeons adapt and generalize better than naive controls in a visuomotor task, challenging the assumption of uniform motor learning across adults.

This paper critiques the assumption that decodability implies representational content in neural data and proposes improvements to multivariate pattern analysis.