Motor signs of Parkinson’s disease such as tremor and bradykinesia are independently expressed and exhibit distinct signatures of neural activity that can independently decoded from subthalamic and cortical recordings using interpretable machine learning.
Six- to twelve-month old infants, who have little linguistic or object experience, classify objects by relying on a invariant representation of global shape known as the shape skeleton.
During a sensorimotor perturbation, task outcome may serve as a gain on implicit adaptation or provide a distinct error signal for a second, independent implicit learning process.
