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Biological Cybernetics|November 2, 1979
Formation of topographic maps and columnar microstructures in nerve fieldsA Takeuchi, S AmariNeural Computation|November 6, 1998
Complexity issues in natural gradient descent method for training multilayer perceptronsH H Yang, S AmariJournal of Theoretical Biology|January 7, 1985
Sensori-motor transformations in the brain (with a critique of the tensor theory of cerebellum)M A Arbib, S AmariIEEE Transactions on Neural Networks|January 1, 1992
Information geometry of Boltzmann machinesS Amari, K Kurata, H NagaokaNeural Computation|August 10, 2000
Adaptive method of realizing natural gradient learning for multilayer perceptronsS Amari, H Park, K FukumizuIEEE Transactions on Neural Networks|January 1, 1994
Network information criterion-determining the number of hidden units for an artificial neural network modelN Murata, S Yoshizawa, S AmariNeural Computation|March 20, 2001
Population coding with correlation and an unfaithful modelS Wu, H Nakahara, S AmariNeural Computation|August 23, 2001
Attention modulation of neural tuning through peak and base rateH Nakahara, S Wu, S AmariIEEE Transactions on Neural Networks|February 8, 2008
A common neural-network model for unsupervised exploratory data analysis and independent component analysisM Girolami, A Cichocki, S AmariTrends in Cognitive Sciences|January 20, 2011
Statistical inference: learning in artificial neural networksH Hua Yang, N Murata, S AmariPageof 537