DocumentCode :
3208474
Title :
Prion neural system: Modeling the binding affinities between neurons of a network
Author :
Morogan, Luciana
Author_Institution :
Mil. Tech. Acad., Bucharest, Romania
fYear :
2010
fDate :
8-10 Oct. 2010
Firstpage :
143
Lastpage :
147
Abstract :
There is a need (that came from biological hypothesis about the functionality of certain subsystems of the nervous system) of designing a more realistic model of a dynamic complex system. An idea of such a comlex system started with the prion neural system (already introduced in some previous papers). This article is focused on modeling synapses between neurons of a network by modeling the binding affinities between them. The original idea, of biological inspiration, is that in a network of neurons of a prion neural system (or any other network of neuron devices) any neuron should not be able to bind with any other neuron. In this article it is also designed the synaptic formation between different kinds of neurons in a network.
Keywords :
biocomputing; evolutionary computation; neural nets; neurophysiology; biological hypothesis; dynamic complex system; evolutionary computing; nervous system; neuron binding affinity; prion neural system; realistic model; Adaptation model; Biological system modeling; Computational modeling; Neurons; Neurotransmitters; Substrates; evolutionary computing; hybrid intelligent systems; nature inspired computing technique; neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Information Systems and Industrial Management Applications (CISIM), 2010 International Conference on
Conference_Location :
Krackow
Print_ISBN :
978-1-4244-7817-0
Type :
conf
DOI :
10.1109/CISIM.2010.5643673
Filename :
5643673
Link To Document :
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