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Modelling Peri-Perceptual Brain Processes in a Deep Learning Spiking Neural Network Architecture

, , , и . Scientific Reports, 8 (1): 8912-- (2018)
DOI: 10.1038/s41598-018-27169-8

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Plamen Kasabov

Nikola Pantscheff

Nikola Sirakoff

Nikola Heblinski

Nikola Stiasni

 

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Quantum inspired Evolutionary Algorithm: A Multimodel EDA, , и . IEEE Transaction on Evolutionary Computation, (2008)Integrated Feature and Parameter Optimization for an Evolving Spiking Neural Network, , и . Advances in Neuro-Information Processing, 15th International Conference, том 5506 из Lecture Notes in Computer Science, стр. 1229-1236. Heidelberg, Germany, Springer, (2009)Evolving connectionist systems for knowledge discovery from gene expression data of cancer tissue, , и . Artif Intell Med, 28 (2): 165-189 (июня 2003)Today's knowledge engineering - KEDRI's computational intelligence repository, и . KEDRI, Auckland University of Technology, (2007)Integrative Feature and Parameter Optimization for an Evolving Spiking Neural Network : A comparative Study, , и . International Journal of Neural Systems, (2009)Modelling Peri-Perceptual Brain Processes in a Deep Learning Spiking Neural Network Architecture, , , и . Scientific Reports, 8 (1): 8912-- (2018)Genetic Algorithms for the Design of Fuzzy Neural Networks., и . ICONIP, стр. 793-796. IOA Press, (1998)Fuzzy clustering of gene expression data., и . FUZZ-IEEE, стр. 414-419. IEEE, (2002)Dynamic optimisation of evolving connectionist system training parameters by pseudo-evolution strategy., и . CEC, стр. 1335-1342. IEEE, (2001)A two-stage methodology for gene regulatory network extraction from time-course gene expression data., , и . Expert Syst. Appl., 30 (1): 59-63 (2006)