Andrew B. Barron

This study shows that hoverflies respond more strongly to looming stimuli approaching from below at intermediate speeds, matching the sensitivity of ventral descending neurons.

This study investigates honey bee decision-making by analyzing their speed and accuracy in accepting or rejecting flower stimuli, finding their decision mechanisms are sophisticated and comparable to primates.

This study uses Nanopore direct RNA sequencing to analyze RNA processing differences between honey bee queen and worker castes during larval development, revealing complex alternative splicing and dynamic isoform expression.

This study shows honey bees cannot detect harmful metal concentrations in food, only avoiding very high levels that exceed regulatory thresholds.

This paper presents a neural network model of the honey bee brain that learns abstract concepts like sameness and difference, matching real bee behavior without requiring top-down processing.