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IEEE Transactions on Neural Networks and Learning Systems|October 25, 2021
Consistency Hierarchy of Reservoir ComputersThomas Jungling, Thomas Lymburn, Michael SmallChaos (Woodbury, N.Y.)|April 3, 2021
Reservoir computing with swarmsThomas Lymburn, Shannon D Algar, Michael Small, et al.Chaos (Woodbury, N.Y.)|October 3, 2019
The reservoir's perspective on generalized synchronizationThomas Lymburn, David M Walker, Michael Small, et al.Chaos (Woodbury, N.Y.)|January 3, 2020
Learned emergence in selfish collective motionShannon D Algar, Thomas Lymburn, Thomas Stemler, et al.Chaos (Woodbury, N.Y.)|March 3, 2019
Consistency in echo-state networksThomas Lymburn, Alexander Khor, Thomas Stemler, et al.Nonlinear Biomedical Physics|October 3, 2007
Estimating the distribution of dynamic invariants: illustrated with an application to human photo-plethysmographic time seriesMichael SmallChaos (Woodbury, N.Y.)|June 3, 2018
Complex networks untangle competitive advantage in Australian footballCalum Braham, Michael SmallPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|December 31, 2005
Small-shuffle surrogate data: testing for dynamics in fluctuating data with trendsTomomichi Nakamura, Michael SmallChaos (Woodbury, N.Y.)|July 5, 2012
Neuronal avalanches of a self-organized neural network with active-neuron-dominant structureXiumin Li, Michael SmallChaos (Woodbury, N.Y.)|May 2, 2016
Examining k-nearest neighbour networks: Superfamily phenomena and inversionAlexander Khor, Michael SmallPageof 17