DocumentCode :
1426331
Title :
Listening to Brain Microcircuits for Interfacing With External World—Progress in Wireless Implantable Microelectronic Neuroengineering Devices
Author :
Nurmikko, Arto V. ; Donoghue, John P. ; Hochberg, Leigh R. ; Patterson, William R. ; Song, Yoon-Kyu ; Bull, Christopher W. ; Borton, David A. ; Laiwalla, Farah ; Park, Sunmee ; Ming, Yin ; Aceros, Juan
Author_Institution :
Dept. of Phys., Brown Univ., Providence, RI, USA
Volume :
98
Issue :
3
fYear :
2010
fDate :
3/1/2010 12:00:00 AM
Firstpage :
375
Lastpage :
388
Abstract :
Acquiring neural signals at high spatial and temporal resolution directly from brain microcircuits and decoding their activity to interpret commands and/or prior planning activity, such as motion of an arm or a leg, is a prime goal of modern neurotechnology. Its practical aims include assistive devices for subjects whose normal neural information pathways are not functioning due to physical damage or disease. On the fundamental side, researchers are striving to decipher the code of multiple neural microcircuits which collectively make up nature´s amazing computing machine, the brain. By implanting biocompatible neural sensor probes directly into the brain, in the form of microelectrode arrays, it is now possible to extract information from interacting populations of neural cells with spatial and temporal resolution at the single cell level. With parallel advances in application of statistical and mathematical techniques tools for deciphering the neural code, extracted populations or correlated neurons, significant understanding has been achieved of those brain commands that control, e.g., the motion of an arm in a primate (monkey or a human subject). These developments are accelerating the work on neural prosthetics where brain derived signals may be employed to bypass, e.g., an injured spinal cord. One key element in achieving the goals for practical and versatile neural prostheses is the development of fully implantable wireless microelectronic ??brain-interfaces?? within the body, a point of special emphasis of this paper.
Keywords :
bioMEMS; biological organs; biomechanics; biomedical electrodes; biomedical electronics; brain; brain-computer interfaces; cellular biophysics; decoding; injuries; medical signal processing; microelectrodes; microsensors; neural nets; neurophysiology; probes; prosthetics; signal resolution; statistical analysis; wireless sensor networks; activity decoding; arm motion; brain microcircuits; deciphering; disease; information extraction; injured spinal cord; microelectrode arrays; neural cells; neural prosthetics; neural sensor probes implanting; neural signal recording; neurotechnology; physical damage; spatial resolution; statistical techniques; temporal resolution; wireless microelectronic; Data mining; Decoding; Diseases; Leg; Microelectronics; Neural engineering; Prosthetics; Sensor arrays; Signal resolution; Spatial resolution; Biomedical devices; brain science; neural engineering; neural signal recording;
fLanguage :
English
Journal_Title :
Proceedings of the IEEE
Publisher :
ieee
ISSN :
0018-9219
Type :
jour
DOI :
10.1109/JPROC.2009.2038949
Filename :
5420043
Link To Document :
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