Luigi Acerbi

This study examines age-related changes in neural and behavioural variability during a decision-making task in mice, finding increased neural variability and reduced variability quenching in specific brain regions.

Mice infer stimulus-side priors from recent choices; prior signals are decodable pre-stimulus in 24.0% to 30.2% of 242 brain regions, including early visual and motor areas.

The paper presents a brain-wide neural activity map from 621,733 neurons across 139 mice performing a decision-making task, showing how neural activity encodes task variables across brain regions.

The paper shows that mice with ASD-related mutations exhibit similar computational and neural anomalies in prior updating during decision-making.

The paper describes a modular data architecture for a neuroscience collaboration, enabling data contribution, access, and analysis across multiple labs.

The paper investigates whether people maintain and use uncertainty in working memory, finding that uncertainty is both maintained and used optimally in decision-making.

The paper investigates how sensory uncertainty affects contour integration by manipulating retinal eccentricity and finds that humans use a heuristic rule that accounts for uncertainty but deviates slightly from Bayesian optimality.

The paper investigates how humans adapt to changes in prior probability during decision-making, finding an exponential averaging model with a bias towards equal priors.

The paper compares Bayesian and non-Bayesian causal inference strategies in multisensory heading perception using computational modeling and behavioral experiments.