title: Is the movement representation in the motor cortex a moving target?
abstract: In redundant neural networks, many different combinations of connection weights will produce the same output, thereby providing many possible solutions for a given computation. In this issue of Neuron, Rokni et al. propose that the arm movement representations in the cerebral cortex act like redundant networks that drift randomly between different synaptic configurations with equivalent input-output behavior because of random noise in the adaptive learning mechanism.
authors.affiliation: CIHR Group in Neurological Sciences, Département de Physiologie, Université de Montréal, Montréal, QC H3T 1J4, Canada. kalaskaj@physio.umontreal.ca
authors.forename: John F
authors.initials: JF
authors.lastname: Kalaska
authors.forename: Andrea
authors.initials: A
authors.lastname: Green
mesh_terms: D000818:Animals; D008959:Models, Neurological; D009044:Motor Cortex / Q000166:cytology / Q000502:physiology*; D009068:Movement / Q000502:physiology*; D009474:Neurons / Q000502:physiology*; D011597:Psychomotor Performance