Burdick, Joel (2005) Getting Better Signals Out of the Brain:Decoding Algorithms and Autonomous Electrodes. In: Proceedings of the International Joint Conference on Neural Networks (IJCNN). IEEE International Joint Conference on Neural Networks (IJCNN) . IEEE , Piscataway, NJ, p. 3115. ISBN 0-7803-9048-2 http://resolver.caltech.edu/CaltechAUTHORS:20110609-101700689
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Summary form only given. This talk summarized our efforts to develop new technologies whose aim is to improve the quality and quantity of the information derived from extracellular recordings. This work is motivated by ongoing activities at Caltech to develop neural prostheses based on the brain's parietal reach region (PRR). The talk first reviewed our progress towards developing a functioning neural prosthesis in order to motivate the need to develop long-lasting chronic interfaces between electrodes and neurons. The second half of the talk focuses on our efforts to develop a new class of "movable" electrodes that autonomously isolate a neural cell so as to optimize the recorded signal quality, and then maintain optimal signal quality using feedback. Such devices are likely to improve the reliability and robustness of future chronic neural prosthetic systems. We also summarized current research in neural decoding algorithms, whose aim is to extract the maximum information content from the recorded signals.
|Item Type:||Book Section|
|Additional Information:||© 2005 IEEE. Date of Current Version : 27 December 2005.|
|Other Numbering System:|
|Official Citation:||Getting better signals out of the brain: decoding algorithms and autonomous electrodes Burdick, J.; Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on Volume: 5 Digital Object Identifier: 10.1109/IJCNN.2005.1556424 Publication Year: 2005|
|Usage Policy:||No commercial reproduction, distribution, display or performance rights in this work are provided.|
|Deposited By:||Ruth Sustaita|
|Deposited On:||09 Jun 2011 17:49|
|Last Modified:||26 Dec 2012 13:18|
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