Alejandro Tlaie

This study compares sustained attention dynamics across mice, monkeys, and humans using a shared VR task and hidden Markov models, finding greater similarity in attentional states than expected.

This study uses EEG and a humanoid robot to predict human and robot movement during motor learning, showing neural correlates of learning and decoding movement parameters.

This study uses facial features from mice and monkeys to infer internal cognitive states during a foraging task, finding comparable state-task relationships across species.

This study investigates the distinct roles of TRPV1 and TRPM2 in warm-temperature detection using cultured mouse DRG neurons and behavioral assays, revealing their unique contributions to thermal perception and decision-making.

The paper introduces a test to assess the relevance of trial-averaged neuronal metrics to neuronal computation, finding they are less relevant in less controlled settings.

This paper introduces a new information-theoretic measure, FIT, to quantify feature-specific information transfer between brain regions using simulated and empirical neural data.