How organisms filter out the noise to make accurate predictions
A new study by researchers from the University of Chicago and the French National Centre for Scientific Research shows how organisms filter information from their environment differently for a wide range of biological processes—from visually tracking the motion of objects to immune cells responding to pathogens—and then select the most useful inputs to respond accordingly.