NDLI: Statistical analysis and modeling of variance in the SA-I mechanoreceptor response to sustained indentation

Content Provider	IEEE Xplore Digital Library
Author	Lesniak, D.R. Wellnitz, S.A. Gerling, G.J. Lumpkin, E.A.
Copyright Year	2009
Description	Author affiliation: Department of Neuroscience, Baylor College of Medicine, Houston, TX 77030 USA (Wellnitz, S.A.) \|\| Department of Systems and Information Engineering, University of Virginia, Charlottesville, VA 22904 USA (Lesniak, D.R.; Gerling, G.J.) \|\| Departments of Neuroscience, Molecular Physiology & Biophysics, and Molecular & Human Genetics, Baylor College of Medicine, Houston, TX 77030 USA (Lumpkin, E.A.)
Abstract	The slowly-adapting type I mechanoreceptor (SA-I) exhibits variability in its steady-state firing rate both within an afferent upon repeated stimulation and between afferents. Additionally, inter-spike intervals of the SA-I are extremely variable during this steady-state firing. While variability of the SA-I response has been noted previously, the work presented herein provides a finer analysis of the impact of force and fiber on the SA-I response. Specifically, we test two hypotheses, that 1) fiber-to-fiber variation will significantly impact firing rate over the range of applied forces, and that 2) fiber-to-fiber variation will significantly impact the coefficient of variation (CV) of inter-spike intervals over the range of applied forces. Utilizing an ex vivo skin nerve preparation in the mouse, experiments were conducted with six SA-I fibers from five mice, and with compressive stimuli with force magnitudes up to 9.59 mN. We found fiber to significantly impact both firing rate and CV. These findings motivated the construction of a generalized input (force) – output (firing rate) model composed of a baseline response profile and a multiplicative fiber sensitivity factor. This work will inform future efforts to attribute variability to differences in skin, neuron, and receptor properties, and will contribute to the understanding of how much variability is acceptable in systems designed to provide tactile feedback to the nervous system.
Starting Page	6814
Ending Page	6817
File Size	403082
Page Count	4
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5334487
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Statistical analysis Skin Mice Steady-state Optical fiber testing Neurons Libraries Systems engineering and theory Neuroscience USA Councils
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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