Future Research in Neural Computation
暂无分享,去创建一个
Shun-ichi Amari | James Anderson | Jacob M. Taylor | H John Caulfeld | S. Amari | James A. Anderson | H. J. Caulfeld | Jacob Taylor | Jacob M. Taylor
[1] Masato Okada,et al. Notions of Associative Memory and Sparse Coding , 1996, Neural Networks.
[2] Shun-ichi Amari,et al. Network information criterion-determining the number of hidden units for an artificial neural network model , 1994, IEEE Trans. Neural Networks.
[3] Sherrington,et al. Dynamics of fully connected attractor neural networks near saturation. , 1993, Physical review letters.
[4] T. Watkin,et al. THE STATISTICAL-MECHANICS OF LEARNING A RULE , 1993 .
[5] Heskes,et al. Learning processes in neural networks. , 1991, Physical review. A, Atomic, molecular, and optical physics.
[6] David Haussler,et al. Calculation of the learning curve of Bayes optimal classification algorithm for learning a perceptron with noise , 1991, COLT '91.
[7] Daniel S. Levine,et al. Modeling some effects of frontal lobe damage--Novelty and perseveration , 1989, Neural Networks.
[8] G. E. Alexander,et al. Parallel organization of functionally segregated circuits linking basal ganglia and cortex. , 1986, Annual review of neuroscience.
[9] 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.
[10] E. Harth,et al. Stationary states and transients in neural populations. , 1973, Journal of theoretical biology.
[11] S. Amari,et al. Characteristics of Random Nets of Analog Neuron-Like Elements , 1972, IEEE Trans. Syst. Man Cybern..
[12] Shun-ichi Amari,et al. Learning Patterns and Pattern Sequences by Self-Organizing Nets of Threshold Elements , 1972, IEEE Transactions on Computers.
[13] E M Harth,et al. Brain functions and neural dynamics. , 1970, Journal of theoretical biology.
[14] Shun-ichi Amari,et al. A Theory of Adaptive Pattern Classifiers , 1967, IEEE Trans. Electron. Comput..