Tiberiu Teşileanu

The paper introduces two biologically plausible algorithms for segmenting time series based on underlying dynamics, showing good performance on autoregressive models and voice recordings.

The paper tests the 'variance is salience' hypothesis by showing it accurately predicts visual sensitivity to second-order grayscale image statistics in texture-segregation tasks.

The paper explains how olfactory receptor abundances adapt to efficiently encode odor information, showing context-dependent changes predicted by efficient coding theory.