Title :
Population representation of artificial neural network
Author_Institution :
Electron. Mater. Res. Center, Korea Inst. of Sci. & Technol., Seoul, South Korea
Abstract :
Neural representation is briefly reviewed and its essential features, which are required to be implemented in artificial neural networks, are addressed. They are such as population representation and correlation between neighboring neurons. These aspects play an important role in conveying information, compensating the unreliability of individual neuron.
Keywords :
neural nets; artificial neural network population representation; neighboring neuron correlation; neuron unreliability; Biological neural networks; Correlation; Firing; Neurons; Noise; Sociology; artificial neural network; correlation; population representation;
Conference_Titel :
Cellular Nanoscale Networks and their Applications (CNNA), 2014 14th International Workshop on
Conference_Location :
Notre Dame, IN
DOI :
10.1109/CNNA.2014.6888617
