Alfonso Renart

The paper uses facial expressions in mice to identify latent cognitive variables and their neural correlates, showing that facial features reflect computations beyond task demands.

This paper develops a mathematical framework for optimal control of spiking neural networks, using a feedback controller to steer network dynamics towards target states.

The paper shows that mice make more accurate auditory judgments when auditory cortex activity is desynchronized before stimulus onset, but only after an error, indicating that error outcomes gate the effect of cortical state on decision accuracy.

The paper develops a theory of perceptual decision-making that frames disengagement as a cognitive control problem, showing how control limitations affect performance and behavior.

The paper introduces Neuropixels 2.0, a high-density probe for long-term brain recordings, and demonstrates its stability across months in multiple labs and species.

The paper identifies a repertoire of decision variables in the mouse brain during foraging, showing that the secondary motor cortex encodes multiple strategies beyond those directly used in the task.

This study shows that transient serotonin activation in the dorsal raphe nucleus increases pupil size, independent of locomotion and dependent on environmental uncertainty.

This study shows that Weber's law arises from bounded evidence accumulation in rats, as evidenced by level-invariant discrimination accuracy and reaction times.

The paper investigates how brain state affects the geometry of population activity in rat auditory cortex using sound stimuli and finds state-dependent changes in coding properties and noise structure.