Seth W. Egger

This study uses kernel-based analysis to show context-dependent deterministic processes and consistent noise in steering behavior across species and tasks.

This study examines how neurons with different intrinsic timescales contribute to perceptual decision-making in mice, finding that long timescale neurons encode decision variables more prominently.

The paper investigates neural mechanisms of sensory decoding for motor control, finding that traditional models fail to explain behavioral variance and proposing a circuit model with flexible transmission adjustment.

This paper develops a neural circuit model to explain how humans coordinate movements with expected and unexpected temporal events, showing it matches human behavior in various timing tasks.

The paper shows humans use a nonlinear updating algorithm for time interval estimation, leading to suboptimal performance under signal-dependent noise.