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Auer P, Burgsteiner H, Maass W (2002) Reducing communication for distributed learning in neural networks Proc Intl Conf Artif Neural Netw ICANN (Lecture Notes in Computer Science), Dorronsoro JR, ed. pp.123 Duda RO, Hart PE, Stork DG (2000) Pattern Classification (2nd edition) Freund Y, Schapire RE (1999) Large margin classification using the perceptron algorithm Mach Learn 37:277-296 Gupta A, Wang Y, Markram H (2000) Organizing principles for a diversity of GABAergic interneurons and synapses in the neocortex. Science 287:273-8 [PubMed] Hertz J, Krogh A, Palmer RG (1991) Introduction to the Theory of Neural Computation. Jaeger H (2001) The echo state approach to analyzing and training recurrent neural networks GMD Report 148 Maass W, Natschläger T, Markram H (2002) Real-time computing without stable states: a new framework for neural computation based on perturbations. Neural Comput 14:2531-60 [Journal] [PubMed] Markram H, Wang Y, Tsodyks M (1998) Differential signaling via the same axon of neocortical pyramidal neurons. Proc Natl Acad Sci U S A 95:5323-8 [PubMed] Tsodyks M, Uziel A, Markram H (2000) Synchrony generation in recurrent networks with frequency-dependent synapses. J Neurosci 20:RC50 [PubMed] Vapnik V (1998) Statistical Learning Theory Warmuth MK, Ratsch G, Mathieson M, Liao J, Lemmen C (2002) Active learning in the drug discovery process Advances in Neural information processings systems, Dietterich TG:Becker S:Ghahramani Z, ed. |