Ignasi Cos

The paper characterizes neural population heterogeneity during motor tasks using HF-LFPs and finds that heterogeneity varies by region and state, improving motor decoding.

This paper introduces a biophysically plausible decision-making model using interacting neural populations in cortical layer 2/3, tested on human and macaque experiments.

The paper examines how confidence relates to oculomotor dynamics during decision-making, finding that fixations between empty locations correlate with confidence and deliberation.

The paper investigates how task goals influence the relationship between decision and movement speed, finding that coregulation occurs as a default but is replaced by a tradeoff when detrimental to reward rate.

This paper models how the brain computes delayed consequences in decision-making without explicit feedback, showing how neural dynamics and learning mechanisms adapt over time.

The paper models primate basal ganglia dynamics to show D2 and D5 dopamine receptors in specific nuclei have opposing roles in generating beta-band oscillations in Parkinson's disease.

This study investigates decision-making during movement, showing that deliberation continues after movement onset and is influenced by reward and motor state.

This study investigates how value reassessment influences movement during decision-making, showing that participants adjust their trajectories based on updated value information during ongoing movements.