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MEA Viewer: A high-performance interactive application for visualizing electrophysiological data.

Daniel C Bridges1,2, Kenneth R Tovar1, Bian Wu1

  • 1Neuroscience Research Institute, University of California at Santa Barbara, Santa Barbara, California, United States of America.

Plos One
|February 10, 2018
PubMed
Summary
This summary is machine-generated.

MEA Viewer is a new open-source application for visualizing large electrophysiology datasets from multi-electrode arrays. It offers novel ways to view action potential propagation and analyze neural activity with minimal data processing.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Electrophysiology

Background:

  • Extracellular recording with multi-electrode arrays (MEAs) generates large datasets due to high sampling frequency requirements for action potentials.
  • Traditional analysis methods like spike train analysis reduce data dimensionality, potentially losing valuable information.
  • Visualizing raw, high-density electrophysiological data presents significant challenges for researchers.

Purpose of the Study:

  • Introduce MEA Viewer, an open-source application for direct visualization of multi-channel electrophysiological data.
  • Provide tools for high-performance visualization of large electrophysiology datasets.
  • Enable novel research applications by minimizing data processing and revealing otherwise hidden information.

Main Methods:

  • Developed MEA Viewer, a high-performance open-source application.
  • Implemented high-performance visualizations including navigable overviews and interactive raster plots.
  • Utilized signal averaging of extracellular action potentials (eAPs) from single neurons detected on multiple electrodes to visualize propagation.

Main Results:

  • MEA Viewer provides direct visualization of multi-channel electrophysiological data.
  • The application includes navigable overviews of action potentials and spike timestamps, plus interactive raster plots.
  • A novel method displays the 2D extent of action potential propagation by averaging eAPs, revealing sub-threshold information.

Conclusions:

  • MEA Viewer facilitates heuristic understanding of experimental results by minimizing data processing.
  • The novel visualization of eAP propagation opens new research avenues for medium-density MEAs.
  • MEA Viewer is available under GPLv3 license, promoting open-source collaboration in neuroscience research.