Title :
Comprehensive Bionic Neuron Unified Model
Author :
Lv, Jin ; Yang, Xiao-Jun ; GUO, Chen
Author_Institution :
Sch. of Inf. Eng., Chang´´an Univ., Xi´´an, China
Abstract :
Synthesize the 12 basic characteristics of the biologic neuron universally approbated by current biomedical and the engineering science field, and based on it put forward a novel unified framework model of artificial neuron - comprehensive bionic neuron which reflect more complete characteristics of the biologic neuron. Using this unified model to represent the various familiar neuron models and various learning algorithms, its validity is proved.
Keywords :
artificial intelligence; biocybernetics; neural nets; neurophysiology; artificial intelligence; artificial neuron; bionic neuron unified model; Artificial intelligence; Artificial neural networks; Biological system modeling; Biology; Biomedical engineering; Educational institutions; Electronic mail; Mathematics; Nerve fibers; Neurons; artificial intelligence; artificial neural network; neuron model; unified model;
Conference_Titel :
Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3645-3
DOI :
10.1109/CINC.2009.8
