Low-power integrated circuit for a wireless 100-electrode neural recording system

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Publication Type Journal Article
School or College College of Engineering
Department Electrical & Computer Engineering
Creator Harrison, Reid R.;Normann, Richard A.
Other Author Watkins, Paul T.; Kier, Ryan J.; Lovejoy, Robert. O.; Black, Daniel. J.; Solzbacher, Florian
Title Low-power integrated circuit for a wireless 100-electrode neural recording system
Date 2007
Description In the past decade, neuroscientists and clinicians have begun to use implantable MEMS multielectrode arrays (e.g., [1]) to observe the simultaneous activity of many neurons in the brain. By observing the action potentials, or "spikes," of many neurons in a localized region of the brain it is possible to gather enough information to predict hand trajectories in real time during reaching tasks [2]. Recent experiments have shown that it is possible to develop neuroprosthetic devices - machines controlled directly by thoughts - if the activity of multiple neurons can be observed.
Type Text
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Journal Title IEEE Journal of Solid-State Circuits
Volume 42
Issue 1
First Page 123
Last Page 133
DOI 10.1109/JSSC.2006.886567
citatation_issn 0018-9200
Subject Neural recording system; Utah Microelectrode Array; Integrated neural interface
Subject LCSH Integrated circuits; Microelectrodes; Implants, Artificial; Biotelemetry; Metal oxide semiconductors
Language eng
Bibliographic Citation Harrison, R. R., Watkins, P. T., Kier, R. J., Lovejoy, R. O., Black, D. J., Normann, R. & Solzbacher, F. (2007). Low-power integrated circuit for a wireless 100-electrode neural recording system. IEEE Journal of Solid-State Circuits, 42(1), 123-33.
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Reference URL https://collections.lib.utah.edu/ark:/87278/s6dn4ph9