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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 MargensternNeural Computation|March 23, 1999
Discontinuities in recurrent neural networksR Gavaldá, H T SiegelmannBio Systems|January 15, 2000
A universal time-varying distributed H-system of degree 2M Margenstern, Y RogozhinNeural Computation|October 14, 2000
Clustering irregular shapes using high-order neuronsH Lipson, H T SiegelmannIEEE Transactions on Neural Networks|January 1, 1995
On the complexity of training neural networks with continuous activation functionsB Dasgupta, H T Siegelmann, E SontagPacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|August 11, 1998
Finite H-systems with 3 test tubes are not predictableL Priese, Y Rogojine, M MargensternIEEE 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 GilesChaos (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.Pageof 2