Research Output
A multiresolution approach to the extraction of the pyloric rhythm
  This paper describes our work toward the development of a computationally robust methodology to identify the pyloric neurons in the stomatogastric ganglion of Cancer pagurus using voltage-sensitive dye imaging. The multi-resolution signal decomposition procedure constructed using the sequential Singular Spectrum Analysis approach to isolate the pyloric rhythm from optical recordings of dyed live cells is presented. Early results suggest that the developed procedure offers a demonstrably reliable way to extract the rhythm from the recording data of these cells.

  • Date:

    23 October 2017

  • Publication Status:

    Published

  • DOI:

  • Funders:

    Historic Funder (pre-Worktribe)

Citation

麻豆社区

dos Santos, F., Andras, P., & Lam, K. (2017). A multiresolution approach to the extraction of the pyloric rhythm. In 2017 40th International Conference on Telecommunications and Signal Processing (TSP) (403-406). https://doi.org/10.1109/TSP.2017.8076015

Authors

Keywords

multiresolution signal processing, optical recording, singular spectrum analysis, stomatogastric ganglion, voltage sensitive dye

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