Recurrent Backpropagation and the Dynamical Approach to Adaptive Neural Computation
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[1] K. Abromeit. Music Received , 2023, Notes.
[2] J. D. Cowan,et al. Statistical Mechanics of Nervous Nets , 1968 .
[3] J. Meditch,et al. Applied optimal control , 1972, IEEE Transactions on Automatic Control.
[4] P. Werbos,et al. Beyond Regression : "New Tools for Prediction and Analysis in the Behavioral Sciences , 1974 .
[5] D Marr,et al. Cooperative computation of stereo disparity. , 1976, Science.
[6] J J Hopfield,et al. Neural networks and physical systems with emergent collective computational abilities. , 1982, Proceedings of the National Academy of Sciences of the United States of America.
[7] J J Hopfield,et al. Neurons with graded response have collective computational properties like those of two-state neurons. , 1984, Proceedings of the National Academy of Sciences of the United States of America.
[8] Geoffrey E. Hinton,et al. Learning internal representations by error propagation , 1986 .
[9] Pineda,et al. Generalization of back-propagation to recurrent neural networks. , 1987, Physical review letters.
[10] Gerald Tesauro,et al. Scaling Relationships in Back-Propagation Learning: Dependence on Training Set Size , 1987, Complex Syst..
[11] Fernando J. Pineda,et al. GENERALIZATION OF BACKPROPAGATION TO RECURRENT AND HIGH-ORDER NETWORKS. , 1987 .
[12] Patrice Y. Simard,et al. Analysis of Recurrent Backpropagation , 1988 .
[13] Allon Guez,et al. On the stability, storage capacity, and design of nonlinear continuous neural networks , 1988, IEEE Trans. Syst. Man Cybern..
[14] Fernando J. Pineda,et al. Dynamics and architecture for neural computation , 1988, J. Complex..
[15] A. A. Abidi,et al. An Analog CMOS Backward Error-propagation LSI , 1988, Twenty-Second Asilomar Conference on Signals, Systems and Computers.
[16] M. Zak. Terminal attractors for addressable memory in neural networks , 1988 .
[17] Barak A. Pearlmutter. Learning State Space Trajectories in Recurrent Neural Networks , 1988, Neural Computation.
[18] Terrence J. Sejnowski,et al. Learning to Solve Random-Dot Stereograms of Dense and Transparent Surfaces with Recurrent Backpropagation , 1989 .
[19] Ronald J. Williams,et al. A Learning Algorithm for Continually Running Fully Recurrent Neural Networks , 1989, Neural Computation.
[20] J. Barhen,et al. 'Chaotic relaxation' in concurrently asynchronous neurodynamics , 1989, International 1989 Joint Conference on Neural Networks.
[21] L. B. Almeida. A learning rule for asynchronous perceptrons with feedback in a combinatorial environment , 1990 .
[22] G.D. Wilensky,et al. Scaling of back-propagation training time to large dimensions , 1990, 1990 IJCNN International Joint Conference on Neural Networks.