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An Integrative Neural Network for Detecting Inertial Motion and Head Orientation
 

Summary: An Integrative Neural Network for Detecting Inertial Motion and Head
Orientation
Andrea M. Green and Dora E. Angelaki
Department of Anatomy and Neurobiology, Washington University School of Medicine, St. Louis, Missouri 63110
Submitted 19 December 2003; accepted in final form 23 March 2004
Green, Andrea M. and Dora E. Angelaki. An integrative neural
network for detecting inertial motion and head orientation. J Neuro-
physiol 92: 905925, 2004. First published March 31, 2004; 10.1152/
jn.01234.2003. The ability to navigate in the world and execute
appropriate behavioral responses depends critically on the contribu-
tion of the vestibular system to the detection of motion and spatial
orientation. A complicating factor is that otolith afferents equivalently
encode inertial and gravitational accelerations. Recent studies have
demonstrated that the brain can resolve this sensory ambiguity by
combining signals from both the otoliths and semicircular canal
sensors, although it remains unknown how the brain integrates these
sensory contributions to perform the nonlinear vector computations
required to accurately detect head movement in space. Here, we
illustrate how a physiologically relevant, nonlinear integrative neural
network could be used to perform the required computations for

  

Source: Angelaki, Dora - Department of Anatomy and Neurobiology, Washington University in St. Louis

 

Collections: Biology and Medicine