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Science (New York, N.Y.)|April 28, 1995
Computation beyond the turing limitH T Siegelmann
Neural Computation|March 23, 1999
Discontinuities in recurrent neural networksR Gavaldá, H T Siegelmann
Neural Computation|October 14, 2000
Clustering irregular shapes using high-order neuronsH Lipson, H T Siegelmann
Neural Networks : the Official Journal of the International Neural Network Society|March 29, 2003
Nine switch-affine neurons suffice for Turing universalityH T. Siegelmann, M Margenstern
IEEE Transactions on Neural Networks|January 1, 1995
On the complexity of training neural networks with continuous activation functionsB Dasgupta, H T Siegelmann, E Sontag
IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society|January 1, 1997
Computational capabilities of recurrent NARX neural networksH T Siegelmann, B G Horne, C L Giles
Chaos (Woodbury, N.Y.)|June 5, 2003
Symbolic dynamics and computation in model gene networksR. Edwards, H. T. Siegelmann, K. Aziza, et al.
Scientific Reports|December 17, 2015
The global landscape of cognition: hierarchical aggregation as an organizational principle of human cortical networks and functionsP Taylor, J N Hobbs, J Burroni, et al.
IEEE Transactions on Bio-Medical Engineering|June 2, 2000
Overcoming selective ensemble averaging: unsupervised identification of event-related brain potentialsD H Lange, H T Siegelmann, H Pratt, et al.
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