Anne E Urai

This study shows that trial-to-trial fluctuations in decision criterion can explain sequential effects in decision making, challenging the assumption that these effects are caused by updates to decision parameters.

The paper compares perceptual decision-making strategies between humans and mice using a standardized task, finding that instructed humans perform better than uninstructed humans.

This study examines age-related changes in noise correlations in mice performing a visual decision-making task, finding regionally heterogeneous effects rather than a brain-wide shift.

The paper introduces an autocorrelated Drift Diffusion Model to better account for temporally clustered errors in decision-making tasks, showing it outperforms traditional models.

The paper shows that trial-by-trial changes in decision criteria affect confidence in human decision-making across multiple datasets and measures.

The paper models how arousal drives behavioural state transitions in mice using a dynamical systems approach, showing arousal affects engagement in a visual decision-making task.

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, like humans, exhibit choice history bias in perceptual decision-making, using Diffusion Decision Models across species.

This paper introduces hMFC, a Bayesian model to estimate slow decision criterion fluctuations from limited data, showing it improves accuracy over stable criterion assumptions.

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

This study evaluates the reproducibility of electrophysiological measurements across ten labs using standardized protocols and finds that variability in electrode targeting and statistical methods affects reproducibility.

The paper introduces two public websites for exploring large-scale electrophysiology data from the International Brain Laboratory, enabling cross-platform access to behavioral trials and neuronal data.

The paper introduces an infinite hidden semi-Markov model to analyze learning curves in mice, finding three major learning stages and behavior changes after rest periods.

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

The paper identifies parietal cortex signals that mediate perceptual choice repetition bias through sustained gamma-band activity.

The paper shows mice switch between multiple decision-making strategies during perceptual tasks, challenging the assumption of a single strategy.

This paper introduces a video analysis tool that combines supervised pose estimation with unsupervised dimensionality reduction to extract interpretable behavioral features from animal videos, improving downstream analyses.

This paper develops a standardized task for measuring decision-making in mice, showing reproducible results across multiple laboratories and providing a public dataset and tools.

This study shows that making choices during a prolonged evidence stream alters how evidence is weighted over time, leading to confirmation bias.

The paper introduces citric acid water as an alternative to water restriction for motivating mice in behavioral tasks, showing it maintains performance without health risks.

This study shows that phasic arousal suppresses decision biases in both mice and humans across different decision-making domains and sensory systems.

The paper shows that choice history biases perceptual decisions by altering evidence accumulation rather than shifting the starting point of accumulation.

The paper shows that pupil responses reflect internal belief states during perceptual decisions, scaling with decision confidence and prediction errors.

This study shows that pupil dilation during encoding predicts long-term memory retention of visual and auditory stimuli, highlighting the role of arousal in memory formation.

The paper shows that choice history biases in perceptual decisions arise from confidence-weighted accumulation of past choices, adapting to environmental context.