Non-linear Galilean vestibular receptive fields

Author

Bennequin, D. ; Berthoz, A.

Author_Institution

Univ. Paris 7, Denis Diderot, France

fYear

2011

fDate

Aug. 30 2011-Sept. 3 2011

Firstpage

2273

Lastpage

2276

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.

Keywords

Bayes methods; ear; hearing; invariance; neurophysiology; nonlinear dynamical systems; 3D displacement; Bayesian framework; Galilean invariance; dynamical 3D condition; neuronal computing; neuronal transmission; neurophysiology; nonlinear Galilean vestibular receptive field; vestibular neuron; vestibular reflex; Acceleration; Brain modeling; Computational modeling; Gravity; Neurons; Vectors; Visualization; Afferent Pathways; Animals; Brain; Computer Simulation; Humans; Models, Neurological; Nerve Net; Nonlinear Dynamics; Sensory Receptor Cells; Vestibule, Labyrinth;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE

Conference_Location

Boston, MA

ISSN

1557-170X

Print_ISBN

978-1-4244-4121-1

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2011.6090572

Filename

6090572