Ivan Tomić

This paper introduces STELA, a robotic system that automates Drosophila behavioural experiments, achieving higher consistency and throughput than manual methods.

The paper shows how intrinsic rewards influence visual processing by guiding resource allocation through reinforcement learning, affecting both performance and accuracy.

The paper shows that learning increases behavioral individuality in genetically identical flies, distinguishing it from genetic and environmental factors.

The paper develops a computational model explaining why self-generated forces are perceived as weaker, showing that attenuated sensations have greater variability due to added motor prediction noise.

The paper introduces a dynamic neural resource model that explains memory fidelity changes over time by integrating sensory and working memory processes.

This study investigates whether perceptual similarity judgments predict working memory errors and finds no consistent relationship between the two.