DocumentCode
1517731
Title
Signal processing and control problems in the brain
Author
Nenadic, Zoran ; Ghosh, Bijoy K.
Author_Institution
Dept. of Syst. Sci. & Math., Washington Univ., St. Louis, MO, USA
Volume
21
Issue
4
fYear
2001
fDate
8/1/2001 12:00:00 AM
Firstpage
28
Lastpage
41
Abstract
W focus on the problem of representing an analog signal with a spike train, a representation commonly associated with a population of neurons. In the process of perception and control, the associated analog signals are believed to be encoded by a population of spiking neurons wherein the spikes are responsible for conveying the encoded information from one cell to another. Following prior work of Eilasmith and Anderson (1999, 2000), we describe how a collection of spike trains might encode analog signals. Implementation of a suitable decoder (filter) is shown to produce a reasonably good reconstruction of the encoded analog signal
Keywords
biocontrol; bioelectric potentials; brain; neural nets; neurophysiology; signal processing; biocontrol; brain; decoder; neurons; perception; signal processing; spike train; Biomembranes; Brain modeling; Decoding; Differential equations; Muscles; Neurons; Nonlinear filters; Process control; Robot control; Signal processing;
fLanguage
English
Journal_Title
Control Systems, IEEE
Publisher
ieee
ISSN
1066-033X
Type
jour
DOI
10.1109/37.939942
Filename
939942
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