Scientists created an artificial neuron that mimics how biological eyes process visual information by combining two different encoding methods simultaneously. This device can fire electrical spikes at different frequencies (like how biological neurons respond to brightness) while also measuring precise timing of the first spike (which captures rapid changes). When tested with an autonomous vehicle system, this artificial neuron performed better than using either encoding method alone, suggesting it could lead to more efficient and capable robot vision systems.