A study of a neural-fuzzy network method for recognising change in neuronal discharge patterns

Author

Xu, Zheng-Ming ; Butler, Emest G. ; Horne, Malcolm K.

Author_Institution

Dept. of Anatomy, Monash Univ., Clayton, Vic., Australia

fYear

1998

fDate

15-18 Feb 1998

Firstpage

15

Lastpage

16

Abstract

A neural-fuzzy network was applied to detect changes in neuronal discharge patterns. The network was firstly trained by a set of input-output data to simulate the classification processing of neuronal discharge patterns assessed by experienced researchers. A second set of data was then used to test the network. Both train and test data were recorded from the cerebellar thalamus of a conscious monkey performing voluntary wrist movements. The preliminary result illustrates that the neural-fuzzy network has potential advantages in classification of neuronal discharge patterns

Keywords

bioelectric potentials; electroencephalography; fuzzy neural nets; learning by example; medical signal processing; neurophysiology; pattern classification; cerebellar thalamus; change recognition; classification processing; conscious monkey; input-output data; neural-fuzzy network method; neuronal discharge patterns; test data; training; voluntary wrist movements; Anatomy; Biological neural networks; Fuzzy logic; Inspection; Intelligent networks; Medical simulation; Pattern recognition; Performance evaluation; Testing; Wrist;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioelectromagnetism, 1998. Proceedings of the 2nd International Conference on

Conference_Location

Melbourne, Vic.

Print_ISBN

0-7803-3867-7

Type

conf

DOI

10.1109/ICBEM.1998.666372

Filename

666372