The gamma model--A new neural model for temporal processing

[1]  José Carlos Príncipe,et al.  The gamma-filter-a new class of adaptive IIR filters with restricted feedback , 1993, IEEE Trans. Signal Process..

[2]  Anders Krogh,et al.  Introduction to the theory of neural computation , 1994, The advanced book program.

[3]  Alex Waibel,et al.  Learning the architecture of neural networks for speech recognition , 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

[4]  John J. Hopfield,et al.  Connected-digit speaker-dependent speech recognition using a neural network with time-delayed connections , 1991, IEEE Trans. Signal Process..

[5]  Paul J. Werbos,et al.  Backpropagation Through Time: What It Does and How to Do It , 1990, Proc. IEEE.

[6]  José Carlos Príncipe,et al.  A Theory for Neural Networks with Time Delays , 1990, NIPS.

[7]  Naftali Tishby,et al.  A dynamical systems approach to speech processing , 1990, International Conference on Acoustics, Speech, and Signal Processing.

[8]  Jeffrey L. Elman,et al.  Finding Structure in Time , 1990, Cogn. Sci..

[9]  Michael I. Jordan.  Attractor dynamics and parallelism in a connectionist sequential machine , 1990 .

[10]  Ronald J. Williams,et al.  Adaptive state representation and estimation using recurrent connectionist networks , 1990 .

[11]  Geoffrey E. Hinton,et al.  A time-delay neural network architecture for isolated word recognition , 1990, Neural Networks.

[12]  Ronald J. Williams,et al.  A Learning Algorithm for Continually Running Fully Recurrent Neural Networks , 1989, Neural Computation.

[13]  Michael C. Mozer,et al.  A Focused Backpropagation Algorithm for Temporal Pattern Recognition , 1989, Complex Syst..

[14]  M. Gori,et al.  BPS: a learning algorithm for capturing the dynamic nature of speech , 1989, International 1989 Joint Conference on Neural Networks.

[15]  W. E. Engeler,et al.  Neural network learning time: effects of network and training set size , 1989, International 1989 Joint Conference on Neural Networks.

[16]  John J. Hopfield,et al.  CONCENTRATION INFORMATION IN TIME: ANALOG NEURAL NETWORKS WITH APPLICATIONS TO SPEECH RECOGNITION PROBLEMS. , 1987 .

[17]  Robert Miller.  Representation of brief temporal patterns, Hebbian synapses, and the left-hemisphere dominance for phoneme recognition , 1987, Psychobiology.

[18]  Tad Hogg,et al.  A Dynamical Approach to Temporal Pattern Processing , 1987, NIPS.

[19]  Stephen Grossberg,et al.  Studies of mind and brain , 1982 .

[20]  Tj Sejnowski,et al.  Skeleton filters in the brain , 2014 .

[21]  M.G. Bellanger,et al.  Digital processing of speech signals , 1980, Proceedings of the IEEE.