Simplified spiking neural network architecture and STDP learning algorithm applied to image classification

Author:

Iakymchuk Taras,Rosado-Muñoz Alfredo,Guerrero-Martínez Juan F,Bataller-Mompeán Manuel,Francés-Víllora Jose V

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Information Systems,Signal Processing

Reference29 articles.

1. Lovelace JJ, Rickard JT, Cios KJ. A spiking neural network alternative for the analog to digital converter. In: Neural Networks (IJCNN), The 2010 International Joint Conference On. New Jersey, USA: Institute of Electrical and Electronics Engineers-IEEE: 2010. p. 1–8.

2. Ambard M, Guo B, Martinez D, Bermak A. A spiking neural network for gas discrimination using a tin oxide sensor array. In: Electronic Design, Test and Applications, 2008. DELTA 2008. 4th IEEE International Symposium On. New Jersey, USA: Institute of Electrical and Electronics Engineers-IEEE: 2008. p. 394–397.

3. Bouganis A, Shanahan M. Training a spiking neural network to control a 4-dof robotic arm based on spike timing-dependent plasticity. In: Neural Networks (IJCNN), The 2010 International Joint Conference On. New Jersey, USA: Institute of Electrical and Electronics Engineers-IEEE: 2010. p. 1–8.

4. Alnajjar F, Murase K. Sensor-fusion in spiking neural network that generates autonomous behavior in real mobile robot. In: Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference On. New Jersey, USA: Institute of Electrical and Electronics Engineers-IEEE: 2008. p. 2200–2206.

5. Perez-Carrasco JA, Acha B, Serrano C, Camunas-Mesa L, Serrano-Gotarredona T, Linares-Barranco B. Fast vision through frameless event-based sensing and convolutional processing: Application to texture recognition. Neural Networks IEEE Trans. 2010; 21(4):609–620.

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