DocumentCode :
145771
Title :
Multiprocessors parallel computer for the signal processing of living nervous system
Author :
Attila, Godo Zoltan ; Marcell, Loos ; Denes, Kocsis ; Csaba, Revesz
Author_Institution :
Dept. of Inf. Technol., Univ. of Debrecen, Debrecen, Hungary
fYear :
2014
fDate :
23-25 Jan. 2014
Firstpage :
269
Lastpage :
274
Abstract :
The mode of action of psychopharmacons have been studied thoroughly by the analysis of firing patterns led from the living nervous system. Examining even a very small region of the brain requires enormous calculational capacity. This is most effective with the help of an artificial multiprocessing neural network, similar to the living nervous sytem. In the course of our work we use a self-developed 128-microelectrode block to decode the firing matrix of the living nervous system. The signals have been processed with the help of a 9-processor neural network. We have established a two-way analog contact with the living nervous system. Already known algorithms can be applied to the system, whilst the unique hardware structure also allows new algorithms to be developed.
Keywords :
brain; medical signal processing; microelectrodes; microprocessor chips; neural nets; neurophysiology; parallel processing; 9-processor neural network; artificial multiprocessing neural network; brain; calculational capacity; firing matrix; firing patterns; hardware structure; living nervous system; microelectrode block; multiprocessors parallel computer; psychopharmacons; signal processing; two-way analog contact; Computers; Firing; Microelectrodes; Nervous system; Servers; Switches;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Machine Intelligence and Informatics (SAMI), 2014 IEEE 12th International Symposium on
Conference_Location :
Herl´any
Print_ISBN :
978-1-4799-3441-6
Type :
conf
DOI :
10.1109/SAMI.2014.6822420
Filename :
6822420
Link To Document :
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