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Number of items: 14.

Kasabov, N; Dhoble, K; Nuntalid, N; Indiveri, G (2013). Dynamic evolving spiking neural networks for on-line spatio- and spectro-temporal pattern recognition. Neural Networks, 41:188-201.

Schliebs, S; Kasabov, N (2013). Evolving spiking neural networks: A Survey. Evolving Systems:online.

Scott, N; Kasabov, N; Indiveri, G (2013). NeuCube neuromorphic framework for spatio-temporal brain data and its python implementation. In: Lee, Minho; Hirose, Akira; Hou, Zeng-Guang; Kil, Rhee Man. Neural Information Processing. Berlin, Germany: Springer, 78-84.

Mohemmed, A; Schliebs, S; Matsuda, S; Kasabov, N (2013). Training spiking neural networks to associate spatio-temporal input-output spike patterns. Neurocomputing, 107:3-10.

Mohemmed, A; Guoyu, L; Kasabov, N (2012). Evaluating SPAN incremental learning for handwritten digit recognition. In: 19th International Conference on Neural Information Processing (ICONIP2012) , Doha, Qatar, 12 November 2012 - 15 November 2012, 670-677.

Kasabov, N (2012). Evolving spiking neural networks for spatio and spectro-temporal pattern recognition. In: 2012 6th IEEE International Conference Intelligent Systems (IS) , Sofia, Bulgaria, 6 September 2012 - 8 September 2012, 27-32.

Mohemmed, A; Kasabov, N (2012). Incremental learning algorithm for spike pattern classification. In: IEEE World Congress on Computational Intelligence (WCCI 2012) , Brisbane, Australia, 10 June 2012 - 15 June 2012, 1227-1232.

Schliebs, S; Fiasché, M; Kasabov, N (2012). Constructing robust liquid state machines to process highly variable data streams. Artificial Neural Networks and Machine Learning (ICANN 2012) , Springer(7552):604-611.

Kasabov, N (2012). Evolving spiking neural networks and neurogenetic systems for spatio-and spectro-temporal data modelling and pattern recognition. In: Liu, Jing; Alippi, Cesare; Bouchon-Meunier, Bernadette; Greenwood, Garrison W; Abbass, Hussein A. Advances in Computational Intelligence. Berlin Heidelberg, Germany: Springer, 234-260.

Kasabov, N (2012). NeuCube EvoSpike architecture for Spatio-temporal modelling and pattern recognition of brain signals. In: Mana, Nadia; Schwenker, Friedhelm; Trentin, Edmondo. Artificial Neural Networks in Pattern Recognition. Berlin, Germany: Springer, 225-243.

Dhoble, K; Nuntalid, N; Indiveri, G; Kasabov, N (2012). Online spatio-temporal pattern recognition with evolving spiking neural networks utilising address event representation, rank order, and temporal spike learning. Proceedings of the International Joint Conference on Neural Networks:554-560.

Mohemmed, A; Schliebs, S; Matsuda, S; Kasabov, N (2012). SPAN: spike pattern association neuron for learning spatio-temporal sequences. International journal of neural systems, 22(4):1250012.

Kasabov, N; Dhoble, K; Nuntalid, N; Mohemmed, A (2011). Evolving Probabilistic Spiking Neural Networks for Spatio-temporal Pattern Recognition. In: 18th International Conference on Neural Information Processing (ICONIP 2011), Shanghai, China, 13 November 2011 - 17 November 2011, 230-239.

Mohemmed, A; Schliebs, S; Matsuda, S; Kasabov, N (2011). Method for Training a Spiking Neuron to Associate Input-Output Spike Trains. In: 12th INNS EANN-SIG International Conference, Corfu, Greece, 15 September 2011 - 18 September 2011, 219-228.

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