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SimBSI: An open-source Simulink library for developing closed-loop brain signal interfaces in animals and humans.

Alejandro Ojeda1, Nathalie Buscher1,2, Pragathi Balasubramani1

  • 1Neural Engineering and Translation Labs, Department of Psychiatry, University of California San Diego, La Jolla , California, United States of America.

Biomedical Physics & Engineering Express
|January 13, 2021
PubMed
Summary

A new software library, SimBSI, unifies brain-computer interface (BCI) research across species. This tool facilitates closed-loop neuroscientific experiments, advancing BCI technology for personalized therapies targeting neural circuits.

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Computational Neuroscience

Background:

  • Brain-computer interface (BCI) technology holds promise for personalized therapies targeting neural circuits in mental and physical disabilities.
  • Current BCIs offer limited value due to simplistic designs and a lack of understanding of treated conditions.
  • Characterizing brain dynamics across multiple scales (single-cell, LFP, EEG) is crucial for robust BCI development.

Purpose of the Study:

  • To develop a unifying neurotechnological software framework for closed-loop studies in both animal and human research.
  • To address the lack of integrated software solutions for cross-species BCI experimentation.

Main Methods:

  • Development of the Simulink for Brain Signal Interfaces (SimBSI) library within MATLAB.
  • Integration of advanced human EEG source imaging capabilities.
  • Implementation of cross-species multimodal data acquisition using the Lab Streaming Layer library.
  • Creation of a graphical experimental design platform.

Main Results:

  • Demonstration of SimBSI capabilities through examples including signal processing, online EEG source imaging, cognitive task design, and closed-loop neuromodulation.
  • Successful development of a sophisticated experimental environment for rodent research.
  • Validation of SimBSI's utility in facilitating complex neuroscientific experiments.

Conclusions:

  • The SimBSI library aids BCI practitioners in developing single and cross-species closed-loop neuroscientific experiments.
  • These experiments are essential for gathering mechanistic data to enhance BCIs as effective therapeutic tools.
  • SimBSI facilitates the advancement of BCI technology towards personalized therapeutic applications.