title: Unraveling a locomotor network, many neurons at a time.
abstract: In this issue of Neuron, Bruno et al. (2015) use large-scale recordings in Aplysia, and apply novel dimensionality-reduction techniques to define dynamical building blocks involved in locomotor behavior. These techniques open new avenues to the study of neuronal networks.
authors: Department of Surgery (Neurosurgery), Dalhousie University, Halifax, Nova Scotia B3H 4R2, Canada; Department of Medical Neuroscience, Dalhousie University, Halifax, Nova Scotia B3H 4R2, Canada. Electronic address: rob.brownstone@dal.ca.
authors: Robert M
authors: RM
authors: Brownstone
authors: Department of Medical Neuroscience, Dalhousie University, Halifax, Nova Scotia B3H 4R2, Canada.
authors: Nicolas
authors: N
authors: Stifani
mesh_terms: D000818:Animals; D001921:Brain / Q000502:physiology*; D008124:Locomotion / Q000502:physiology*; D008959:Models, Neurological; D009046:Motor Neurons / Q000502:physiology*; D009415:Nerve Net / Q000502:physiology*; D017711:Nonlinear Dynamics