title: Non-linear Galilean vestibular receptive fields.
abstract: We present a set of formulas for the receptive fields of the vestibular neurons that are motivated by Galilean invariance. We show that these formulas explain non-trivial data in neurophysiology, and suggest new hypothesis to be tested in dynamical 3D conditions. Moreover our model offers a way for neuronal computing with 3D displacements, which is reputed to be hard, underlying the vestibular reflexes. This computation is presented in a Bayesian framework. The basis of the model is the necessity of living bodies to work invariantly in space-time, allied to the necessary discreteness of neuronal transmission.
authors.affiliation: College-de-France, Paris, France.
authors.forename: D
authors.initials: D
authors.lastname: Bennequin
authors.forename: A
authors.initials: A
authors.lastname: Berthoz
mesh_terms: D000344:Afferent Pathways / Q000502:physiology*; D000818:Animals; D001921:Brain / Q000502:physiology*; D003198:Computer Simulation; D006801:Humans; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D017711:Nonlinear Dynamics; D011984:Sensory Receptor Cells / Q000502:physiology*; D014722:Vestibule, Labyrinth / Q000294:innervation / Q000502:physiology*