Bifurcations in the learning of recurrent neural networks
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[1] H. Kalmus. Biological Cybernetics , 1972, Nature.
[2] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.
[3] D. Rumelhart. Learning internal representations by back-propagating errors , 1986 .
[4] Fernando J. Pineda,et al. Dynamics and architecture for neural computation , 1988, J. Complex..
[5] Barak A. Pearlmutter. Learning State Space Trajectories in Recurrent Neural Networks , 1989, Neural Computation.
[6] Ronald J. Williams,et al. Experimental Analysis of the Real-time Recurrent Learning Algorithm , 1989 .
[7] K. Doya,et al. Memorizing oscillatory patterns in the analog neuron network , 1989, International 1989 Joint Conference on Neural Networks.
[8] James L. McClelland,et al. Finite State Automata and Simple Recurrent Networks , 1989, Neural Computation.
[9] Kenji Doya,et al. Adaptive neural oscillator using continuous-time back-propagation learning , 1989, Neural Networks.
[10] Garrison W. Cottrell,et al. Some experiments on learning stable network oscillations , 1990, 1990 IJCNN International Joint Conference on Neural Networks.
[11] Jeffrey L. Elman,et al. Finding Structure in Time , 1990, Cogn. Sci..
[12] Terrence J. Sejnowski,et al. A Dynamic Neural Network Model of Sensorimotor Transformations in the Leech , 1990, Neural Computation.
[13] Masa-aki Sato,et al. APOLONN brings us to the real world: learning nonlinear dynamics and fluctuations in nature , 1990, 1990 IJCNN International Joint Conference on Neural Networks.
[14] David Zipser,et al. Recurrent Network Model of the Neural Mechanism of Short-Term Active Memory , 1991, Neural Computation.
[15] C. Lee Giles,et al. Learning and Extracting Finite State Automata with Second-Order Recurrent Neural Networks , 1992, Neural Computation.