A control algorithm for autonomous optimization of extracellular recordings
- Creators
- Nenadic, Zoran
- Burdick, Joel W.
Abstract
This paper develops a control algorithm that can autonomously position an electrode so as to find and then maintain an optimal extracellular recording position. The algorithm was developed and tested in a two-neuron computational model representative of the cells found in cerebral cortex. The algorithm is based on a stochastic optimization of a suitably defined signal quality metric and is shown capable of finding the optimal recording position along representative sampling directions, as well as maintaining the optimal signal quality in the face of modeled tissue movements. The application of the algorithm to acute neurophysiological recording experiments and its potential implications to chronic recording electrode arrays are discussed.
Additional Information
© 2006 IEEE. Reprinted with permission. Manuscript received April 19, 2004; revised October 2, 2005. [Posted online: 2006-04-18] This work was supported in part by the National Science Foundation (NSF) under Grant 9402726 and in part by the Defense Advanced Research Projects Agency (DARPA) under Grant MDA972-00-1-0029. The authors would like to thank D. Meeker and E. Branchaud for their generous help in providing experimental data. The authors would also like to acknowledge the anonymous reviewers and the editorial staff of this transactions.Attached Files
Published - NENieeetbe06.pdf
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Additional details
- Eprint ID
- 4130
- Resolver ID
- CaltechAUTHORS:NENieeetbe06
- EEC-9402726
- NSF
- MDA972-00-1-0029
- Defense Advanced Research Projects Agency (DARPA)
- Created
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2006-07-28Created from EPrint's datestamp field
- Updated
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2021-11-08Created from EPrint's last_modified field