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
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