Research Output
Towards an Accurate Identification of Pyloric Neuron Activity with VSDi
  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.

  • Date:

    24 October 2017

  • Publication Status:

    Published

  • DOI:

  • Funders:

    Historic Funder (pre-Worktribe)

Citation

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dos Santos, F., Andras, P., & Lam, K. (2017). Towards an Accurate Identification of Pyloric Neuron Activity with VSDi. In Artificial Neural Networks and Machine Learning – ICANN 2017 (121-128). https://doi.org/10.1007/978-3-319-68600-4_15

Authors

Keywords

Duty cycle, Tri-phasic pyloric neural network, Voltage-sensitive dye imaging, Singular Spectrum Analysis, Dynamic phase detection

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