Inferring control objectives in a virtual balancing task in humans and monkeys

• Published in: eLife Vol. 12
• Main Authors: Sadeghi, Mohsen, Sharif Razavian, Reza, Bazzi, Salah, Chowdhury, Raeed H, Batista, Aaron P, Loughlin, Patrick J, Sternad, Dagmar
• Format: Journal Article
• Language: English
• Published: England eLife Sciences Publications Ltd 13.05.2024; eLife Sciences Publications, Ltd
• Subjects: Adult; Animals; Behavior; Behavior, Animal - physiology; Control algorithms; feedback-driven behavior; Female; human monkey comparison; Humans; Kinematics; Macaca mulatta; Male; Monkeys & apes; Motion capture; motor control strategies; Neuroscience; Objectives; optimal feedback control; Postural Balance - physiology; Primates; Psychomotor Performance - physiology; Sensorimotor system; Velocity; vsuomotor control; Young Adult; motor control strategies; human monkey comparison; rhesus macaque; feedback-driven behavior; neuroscience; optimal feedback control; human; vsuomotor control

Natural behaviors have redundancy, which implies that humans and animals can achieve their goals with different strategies. Given only observations of behavior, is it possible to infer the control objective that the subject is employing? This challenge is particularly acute in animal behavior becaus...