Anna C. Sales

This study analyzes LC neuron firing patterns across species and biological factors, revealing diverse activity patterns and subregions enriched for specific factors and disease models.

The paper uses machine learning to analyze single-trial laser evoked potentials (LEPs) in rats, identifying distinct Aδ- and C-fibre mediated responses that predict pain behavior.

This study shows that locus-coeruleus norepinephrine activity determines the likelihood of sensory-evoked awakenings from sleep, with reduced activity during sleep suppressing responses to auditory stimuli.

The paper investigates Barrington’s nucleus corticotrophin-releasing hormone neurons in mice, showing they provide probabilistic control over bladder contractions and micturition through opto- and chemo-genetic manipulations.

This paper models the locus coeruleus (LC) and noradrenaline (NA) system using Active Inference to show that LC activity reflects prediction errors, enabling adaptive learning and cognitive flexibility.