Sense organ control in moths to moles is a gamble on information
Chen, C.; Murphey, T. D.; MacIver, M. A.
Show abstract
While animals track or search for targets, sensory organs make small unexplained movements on top of the primary task-related motions. While multiple theories for these movements exist--in that they support infotaxis, gain adaptation, spectral whitening, and high-pass filtering--predicted trajectories show poor fit to measured trajectories. We propose a new theory for these movements called energy-constrained proportional betting, where the probability of moving to a location is proportional to an expectation of how informative it will be balanced against the movements predicted energetic cost. Trajectories generated in this way show good agreement with measured target tracking trajectories of electric fish. Similarly good agreement was found across three published datasets on visual and olfactory tracking tasks in insects and mammals. Our theory unifies the metabolic cost of motion with information theory. It predicts sense organ movements in animals and can prescribe sensor motion for robots to enhance performance.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.