A pilot study of postural stability testing using controls: the modified BESS protocol integrated with an H-pattern visual screen and fixed gaze coupled with cervical range of motion.

Objective: The purpose of this study was to investigate baseline postural stability of a normal healthy population using the modified balance error scoring system (M-BESS) integrated with H-pattern testing (HP) and cervical range of motion with fixed ocular gaze (CROM).

Methods: Postural error scores for twelve participants were scored during each twenty second trial of the M-BESS protocol stances (double-leg [DL], tandem [TL] and single-leg [SL]). Participants also completed the same M-BESS protocol with the inclusion of HP and CROM conditions for a total of nine trials.

Efficient encoding of natural optic flow.

Statistically efficient processing schemes focus the resources of a signal processing system on the range of statistically probable signals. Relying on the statistical properties of retinal motion signals during ego-motion we propose a nonlinear processing scheme for retinal flow. It maximizes the mutual information between the visual input and its neural representation, and distributes the processing load uniformly over the neural resources.

Local statistics of retinal optic flow for self-motion through natural sceneries.

Image analysis in the visual system is well adapted to the statistics of natural scenes. Investigations of natural image statistics have so far mainly focused on static features. The present study is dedicated to the measurement and the analysis of the statistics of optic flow generated on the retina during locomotion through natural environments.

The peri-saccadic perception of objects and space.

Eye movements affect object localization and object recognition. Around saccade onset, briefly flashed stimuli appear compressed towards the saccade target, receptive fields dynamically change position, and the recognition of objects near the saccade target is improved. These effects have been attributed to different mechanisms.

Local image structures and optic flow estimation.

Different kinds of local image structures (such as homogeneous, edge-like and junction-like patches) can be distinguished by the intrinsic dimensionality of the local signals. Intrinsic dimensionality makes use of variance from a point and a line in spectral representation of the signal in order to classify it as homogeneous, edge-like or junction-like. The concept of intrinsic dimensionality has been mostly exercised using discrete formulations; however, recent work has introduced a continuous definition.