A support vector brain-machine interface for cortical control of directions

Jing Hu, Jennie Si, Byron Olson, Jiping He

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A closed-loop brain-machine interface system (BMI) was implemented using freely-moving rats. Instead of reproducing continuous natural limb movements as in many other BMI work, abstract supervisory control commands such as Go left, Go right, were extracted from neurons in the motor and premotor areas of the rats brain. The control output was thus formulated as a solution of a nonlinear support vector machine (SVM). Five male Sprague-Dawley rats were able to use such a BMI. Furthermore, evidence was found that the animal changed his behavior and neural activity during the use of the interface from the hand-control phase to the brain-control phase. The analysis showed that the animal adapted a subset of its neural activities to make his decisions more distinct in the SVM decision space from neural activities, which subsequently led to improved brain-control task performance. Two independent approaches, an SVM model sensitivity analysis and a model-free mutual information analysis, pointed to the same subset of neurons that were responsible for such changes.

Original languageEnglish (US)
Title of host publicationProceedings of the First IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2006, BioRob 2006
Pages893-898
Number of pages6
DOIs
StatePublished - Dec 22 2006
Event1st IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2006, BioRob 2006 - Pisa, Italy
Duration: Feb 20 2006Feb 22 2006

Publication series

NameProceedings of the First IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2006, BioRob 2006
Volume2006

Other

Other1st IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2006, BioRob 2006
CountryItaly
CityPisa
Period2/20/062/22/06

Keywords

  • Brain-machine interfaces
  • Motor learning
  • Neural interfaces
  • Neuro-robotics
  • Neuron adaptation

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'A support vector brain-machine interface for cortical control of directions'. Together they form a unique fingerprint.

  • Cite this

    Hu, J., Si, J., Olson, B., & He, J. (2006). A support vector brain-machine interface for cortical control of directions. In Proceedings of the First IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2006, BioRob 2006 (pp. 893-898). [1639204] (Proceedings of the First IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2006, BioRob 2006; Vol. 2006). https://doi.org/10.1109/BIOROB.2006.1639204