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Related Experiment Video

Updated: May 11, 2026

Cortical Source Analysis of High-Density EEG Recordings in Children
09:32

Cortical Source Analysis of High-Density EEG Recordings in Children

Published on: June 30, 2014

MANTA--an open-source, high density electrophysiology recording suite for MATLAB.

B Englitz1, S V David, M D Sorenson

  • 1Neural Systems Laboratory, Institute for Systems Research, University of Maryland College Park, MD, USA ; Equipe Audition, Département d'études cognitives, Ecole Normale Superieure Paris, France.

Frontiers in Neural Circuits
|May 9, 2013
PubMed
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This summary is machine-generated.

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Researchers developed MANTA, an open-source data acquisition system for neuroscience. This affordable, high-channel-count system offers flexibility and advanced features, overcoming limitations of commercial alternatives for neural coding research.

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Bioengineering

Background:

  • Deciphering the neural code requires high-channel-count recordings (e.g., EEG, LFP, MEA).
  • Existing commercial data acquisition (DAQ) systems are expensive and closed-source, limiting customization.
  • High channel counts improve experimental yield and researcher efficiency.

Purpose of the Study:

  • To develop an open-source, cost-effective DAQ system for high-channel-count neural recordings.
  • To provide a flexible and customizable alternative to commercial DAQ systems.
  • To facilitate advanced neural data analysis and integration with existing lab infrastructure.

Main Methods:

  • Developed MANTA, a MATLAB-based, open-source DAQ system.
  • Integrated high channel counts (up to 1440 channels/PC) with analog or digital headstages.
Keywords:
LFPdata acquisitionelectrode arraysneural recordingsμECoG

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  • Designed a modular system with a user-friendly interface, TCP/IP communication, and customizable features.

    • Main Results:

    • MANTA offers low per-channel cost (<$90/channel) and reliable recording (tested up to 128 channels).
    • Features include integrated spike sorting, PSTH/CSD display, and customizable electrode array geometry (including 3D).
    • The system is easily integrated with existing stimulus control systems.

    Conclusions:

    • MANTA provides a flexible, affordable, and extensible platform for high-channel-count neural recordings.
    • Its open-source nature allows for rapid development and adaptation to evolving neuroscience research needs.
    • MANTA democratizes access to advanced neural recording technology, fostering innovation in the field.