An Algorithm for Autonomous Isolation of Neurons in Extracellular Recordings
Abstract
This paper describes novel multi-electrode systems that can autonomously position recording electrodes inside cortical tissue so as to isolate and then maintain optimal extracellular signal recording quality without human intervention. Autonomous microdrives can be used to improve the quality and efficiency of acute recordings that are needed for basic research in neurophysiology. They also offer the potential to increase the longevity and quality of chronic recordings and will serve as the front end of neuroprosthetic systems that aid the handicapped. We first describe the autonomous positioning algorithm, and its implementation as a finite state machine. We have deployed the algorithm on both conventional acute recording micro-drives and a novel miniature robot microdrive. Experimental results in monkey cortex are presented.
Additional Information
© 2006 IEEE. Issue Date: 20-22 Feb. 2006; Date of Current Version: 05 July 2006. This work has been supported by NIH and DARPA. We thank Jorge Cham, Michael Wolf, and the members of the Andersen lab at Caltech, especially Bradley Greger, Bijan Pesaran, Kelsie Pesja and Nicole Sammons.Attached Files
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Additional details
- Eprint ID
- 21846
- Resolver ID
- CaltechAUTHORS:20110121-100428555
- NIH
- Defense Advanced Research Projects Agency (DARPA)
- Created
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2011-01-24Created from EPrint's datestamp field
- Updated
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2021-11-09Created from EPrint's last_modified field