DocumentCode :
1202331
Title :
Fuzzy logic techniques in multineuron studies
Author :
Shah, Safwan ; Faller, William E. ; Luttges, Marvin W.
Author_Institution :
Dept. of Aerosp. Eng. Sci., Colorado Univ., Boulder, CO, USA
Volume :
13
Issue :
5
fYear :
1994
Firstpage :
743
Lastpage :
753
Abstract :
The following topics are discussed: parallel analyses; digital spike representation; stochastic spike representation; neural-fuzzy connection; fuzzy spike representation; artificial neural network (ANN) model; functional lesioning technique; multi-unit data; fuzzy spike trains; ANN performance; network analyses; effective connectivity.<>
Keywords :
cellular biophysics; fuzzy logic; neurophysiology; artificial neural network model; digital spike representation; effective connectivity; fuzzy logic techniques; fuzzy spike representation; multineuron studies; network analyses; neural network performance; neural-fuzzy connection; parallel analyses; stochastic spike representation; Aerospace engineering; Aggregates; Assembly; Biomedical engineering; Fuzzy logic; Information analysis; Information processing; Microelectrodes; Testing; Time sharing computer systems;
fLanguage :
English
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE
Publisher :
ieee
ISSN :
0739-5175
Type :
jour
DOI :
10.1109/51.334637
Filename :
334637
Link To Document :
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