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Verstraeten, D., B. Schrauwen, and D. Stroobandt, "Isolated word recognition using a Liquid State Machine", Proceedings of the 13th European Symposium on Artificial Neural Networks (ESANN), Evere, D-side Publications, pp. 435–440, May, 2005.
Jones, B., D. Stekel, J. Rowe, and C. Fernando, "Is there a Liquid State Machine in the Bacterium Escherichia Coli?", IEEE Symposium on Artificial Life, 2007 (ALIFE '07), pp. 187-191, 2007.
Legenstein, R., H. Markram, and W. Maass, "Input prediction and autonomous movement analysis in recurrent circuits of spiking neurons", Reviews in the Neurosciences (Special Issue on Neuroinformatics of Neural and Artificial Computation), vol. 14, no. 1-2, pp. 5-19, 2003. Abstract
Dambre, J., D. Verstraeten, B. Schrauwen, and S. Massar, "Information Processing Capacity of Dynamical Systems", Scientific Reports, vol. 2, no. 514, pp. 1 -- 7, 07/2012. Abstract  Download: srep00514.pdf (365.56 KB)
Natschlaeger, T., and W. Maass, "Information dynamics and emergent computation in recurrent circuits of spiking neurons", NIPS 2003: Advances in Neural Information Processing Systems, vol. 16: MIT Press, pp. 1255-1262, 2004, 2003. Abstract
Klampfl, S., R. Legenstein, and W. Maass, "Information bottleneck optimization and independent component extraction with spiking neurons", NIPS 2006: Advances in Neural Information Processing Systems, vol. 19: MIT Press, pp. 713-720, 2007, 2006. Abstract
Dominey, P. F., "Influences of temporal organization on sequence learning and transfer: Comments on Stadler (1995) and Curran and Keele (1993)", Journal of Experimental Psychology: Learning, Memory, and Cognition, vol. 24, no. 1, pp. 234-248, 01/1998. Abstract
Dominey, P. F., and J-M. Blanc, "Identification of prosodic attitudes by a temporal recurrent network", Cognitive Brain Research, vol. 17, no. 3, pp. 693-699, 10/2003.  Download: blanc2003cogbrres.pdf (387.5 KB)