James A. R. Marshall

This study develops a neuromorphic model of active vision in bees, showing how spatiotemporal encoding in lobula neurons enhances pattern recognition through dynamic neural activity and efficient coding.

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.

The paper extends geometric time-discounting theory to ternary choices and shows magnitude-sensitive reaction times in humans and slime moulds, with geometric discounting as the main explanation.

The paper models a neural circuit for decision-making, showing that oscillations in inhibition and excitation improve decision outcomes in foraging tasks.

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.