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Adaptive flight control with living neuronal networks on microelectrode arrays

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2 Author(s)
DeMarse, T.B. ; Dept. of Biomed. Eng., Florida Univ., Gainesville, FL, USA ; Dockendorf, K.P.

The brain is perhaps one of the most robust and fault tolerant computational devices in existence and yet little is known about its mechanisms. Microelectrode arrays have recently been developed in which the computational properties of networks of living neurons can be studied in detail. In this paper we report work investigating the ability of living neurons to act as a set of neuronal weights which were used to control the flight of a simulated aircraft. These weights were manipulated via high frequency stimulation inputs to produce a system in which a living neuronal network would "learn" to control an aircraft for straight and level flight.

Published in:

Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on  (Volume:3 )

Date of Conference:

31 July-4 Aug. 2005