Point-Process Analysis of Neural Spiking Activity of Muscle Spindles Recorded from Thin-Film Longitudinal Intrafascicular Electrodes

Lucas Citi 1, 2 Milan Djilas 3 Christine Azevedo Coste 4, * Ken Yoshida 5, 6 Emery Brown 1, 2 Riccardo Barbieri 1, 2
* Corresponding author
1 Department of Brain and Cognitive Sciences
2 Department of Anesthesia, Critical Care and Pain Medicine
3 Institut de la Vision
4 DEMAR - Artificial movement and gait restoration
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
5 IUPUI - Indiana University - Purdue University Indianapolis
6 SMI - Center for Sensory-Motor Interaction
Abstract : Recordings from thin-film Longitudinal Intra-Fascicular Electrodes (tfLIFE) together with a wavelet-based de-noising and a correlation-based spike sorting algorithm, give access to firing patterns of muscle spindle afferents. In this study we use a point process probability structure to assess mechanical stimulus-response characteristics of muscle spindle spike trains. We assume that the stimulus intensity is primarily a linear combination of the spontaneous firing rate, the muscle extension, and the stretch velocity. By using the ability of the point process framework to provide an objective goodness of fit analysis, we were able to distinguish two classes of spike clusters with different statistical structure. We found that spike clusters with higher SNR have a temporal structure that can be fitted by an inverse Gaussian distribution while lower SNR clusters follow a Poisson-like distribution. The point process algorithm is further able to provide the instantaneous intensity function associated with the stimulus-response model with the best goodness of fit. This important result is a first step towards a point process decoding algorithm to estimate the muscle length and possibly provide closed loop Functional Electrical Stimulation (FES) systems with natural sensory feedback information.
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Conference papers
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00601861
Contributor : Christine Azevedo Coste <>
Submitted on : Monday, June 20, 2011 - 9:13:42 PM
Last modification on : Friday, August 2, 2019 - 4:38:15 PM

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Lucas Citi, Milan Djilas, Christine Azevedo Coste, Ken Yoshida, Emery Brown, et al.. Point-Process Analysis of Neural Spiking Activity of Muscle Spindles Recorded from Thin-Film Longitudinal Intrafascicular Electrodes. EMBC: Engineering in Medicine and Biology Conference, Aug 2011, Boston, United States. pp.2311-2314, ⟨10.1109/IEMBS.2011.6090581⟩. ⟨lirmm-00601861⟩

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