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Dos Santos, F, Andras, PE and Lam, KP (2017) Towards an Accurate Identification of Pyloric Neuron Activity with VSDi. In: 26th International Conference on Artificial Neural Networks, 11-15 September 2017, Alghero, Sardinia, Italy.

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Abstract

Voltage-sensitive dye imaging (VSDi) which enables simultaneous optical recording of many neurons in the pyloric circuit of the stomatogastric ganglion is an important technique to supplement electrophysiological recordings. However, utilising the technique to identify pyloric neurons directly is a computationally exacting task that requires the development of sophisticated signal processing procedures to analyse the tri-phasic pyloric patterns generated by these neurons. This paper presents our work towards commissioning such procedures. The results achieved to date are most encouraging.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Duty Cycle; Tri-phasic Pyloric Neural Network; Voltage-Sensitive Dye Imaging; Singular Spectrum Analysis; Dynamic phase detection
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Natural Sciences > School of Computing and Mathematics
Depositing User: Symplectic
Date Deposited: 05 Jun 2017 08:48
Last Modified: 28 Feb 2019 14:28
URI: https://eprints.keele.ac.uk/id/eprint/3546

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