Dos Santos, F, Andras, PE, Collins, DJ and Lam, KP (2017) A Robust Data-Driven Approach to the Decoding of Pyloric Neuron Activity. 2017 IEEE International Workshop on Signal Processing Systems (SiPS). ISSN 2374-7390

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Abstract

The combination of intra and extra-cellular recording of small neuronal circuits such as stomatogastric nervous systems of the crab (Cancer borealis) is well documented and routinely practised. Voltage sensitive dye imaging (VSDi) is a promising technology for the simultaneous monitoring of neuronal activities in such a system. However, integrating data obtained from optical VSDi and electrophysiological recording of the lateral ventricular nerve (lvn) is a complex and exacting task. Our early work demonstrated some of the concepts and principle involved. In this paper, we examine and report on the results obtained from the application of signal processing techniques to three datasets for which we had VSDi and lvn data. Whilst significant challenges remain, we show that such an approach offers the possibility of real-time monitoring using automated analysis of VSDi data streams without the requirement for either extracellular (lvn) or intracellular recording.

Item Type: Article
Additional Information: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords: multiresolution signal processing, optical recording, singular spectrum analysis, stomatogastric ganglion, pyloric rhytm, voltage sensitive dye
Divisions: Faculty of Natural Sciences > School of Computing and Maths
Depositing User: Symplectic
Date Deposited: 20 Jul 2017 09:32
Last Modified: 22 Nov 2018 11:51
URI: http://eprints.keele.ac.uk/id/eprint/3771

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