Shun-ichi Amari

286 papers A* 4A 3B 15C 2Misc 8Journal 189Unranked 61

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Deep learning in random neural fields: Numerical experiments via neural tangent kernel. Neural Networks Kaito Watanabe, Kotaro Sakamoto, Ryo Karakida, Sho Sonoda, Shun-ichi Amari
2022	J	`jnl`	Deep Learning in Random Neural Fields: Numerical Experiments via Neural Tangent Kernel. CoRR Kaito Watanabe, Kotaro Sakamoto, Ryo Karakida, Sho Sonoda, Shun-ichi Amari
2021	J	`jnl`	Pathological Spectra of the Fisher Information Metric and Its Variants in Deep Neural Networks. Neural Comput. Ryo Karakida, Shotaro Akaho, Shun-ichi Amari
2021	—	`conf`	Wasserstein Statistics in One-Dimensional Location-Scale Models. GSI Shun-ichi Amari, Takeru Matsuda
2021	A*	`conf`	When does preconditioning help or hurt generalization? ICLR Shun-ichi Amari, Jimmy Ba, Roger Baker Grosse, Xuechen Li, Atsushi Nitanda, Taiji Suzuki, Denny Wu, Ji Xu
2020	J	`jnl`	Any Target Function Exists in a Neighborhood of Any Sufficiently Wide Random Network: A Geometrical Perspective. CoRR Shun-ichi Amari
2020	J	`jnl`	Any Target Function Exists in a Neighborhood of Any Sufficiently Wide Random Network: A Geometrical Perspective. Neural Comput. Shun-ichi Amari
2020	J	`jnl`	When Does Preconditioning Help or Hurt Generalization? CoRR Shun-ichi Amari, Jimmy Ba, Roger B. Grosse, Xuechen Li, Atsushi Nitanda, Taiji Suzuki, Denny Wu, Ji Xu
2019	A	`conf`	Fisher Information and Natural Gradient Learning in Random Deep Networks. AISTATS Shun-ichi Amari, Ryo Karakida, Masafumi Oizumi
2019	J	`jnl`	Information Geometry for Regularized Optimal Transport and Barycenters of Patterns. Neural Comput. Shun-ichi Amari, Ryo Karakida, Masafumi Oizumi, Marco Cuturi
2019	A	`conf`	Interpolating between Optimal Transport and MMD using Sinkhorn Divergences. AISTATS Jean Feydy, Thibault Séjourné, François-Xavier Vialard, Shun-ichi Amari, Alain Trouvé, Gabriel Peyré
2019	J	`jnl`	Pathological spectra of the Fisher information metric and its variants in deep neural networks. CoRR Ryo Karakida, Shotaro Akaho, Shun-ichi Amari
2019	A*	`conf`	The Normalization Method for Alleviating Pathological Sharpness in Wide Neural Networks. NeurIPS Ryo Karakida, Shotaro Akaho, Shun-ichi Amari
2019	J	`jnl`	The Normalization Method for Alleviating Pathological Sharpness in Wide Neural Networks. CoRR Ryo Karakida, Shotaro Akaho, Shun-ichi Amari
2019	A	`conf`	Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach. AISTATS Ryo Karakida, Shotaro Akaho, Shun-ichi Amari
2018	J	`jnl`	Dynamics of Learning in MLP: Natural Gradient and Singularity Revisited. Neural Comput. Shun-ichi Amari, Tomoko Ozeki, Ryo Karakida, Yuki Yoshida, Masato Okada
2018	J	`jnl`	Fisher Information and Natural Gradient Learning of Random Deep Networks. CoRR Shun-ichi Amari, Ryo Karakida, Masafumi Oizumi
2018	J	`jnl`	Statistical Neurodynamics of Deep Networks: Geometry of Signal Spaces. CoRR Shun-ichi Amari, Ryo Karakida, Masafumi Oizumi
2018	J	`jnl`	Theoretical Study of Oscillator Neurons in Recurrent Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Lei Zhang, Zhang Yi, Shun-ichi Amari
2018	J	`jnl`	Universal Statistics of Fisher Information in Deep Neural Networks: Mean Field Approach. CoRR Ryo Karakida, Shotaro Akaho, Shun-ichi Amari
2017	J	`jnl`	Geometry of Information Integration. CoRR Shun-ichi Amari, Naotsugu Tsuchiya, Masafumi Oizumi
2017	J	`jnl`	Information Geometry Connecting Wasserstein Distance and Kullback-Leibler Divergence via the Entropy-Relaxed Transportation Problem. CoRR Shun-ichi Amari, Ryo Karakida, Masafumi Oizumi
2017	—	`conf`	Information Geometry of Wasserstein Divergence. GSI Ryo Karakida, Shun-ichi Amari
2016	—	`conf`	Adaptive Natural Gradient Learning Algorithms for Unnormalized Statistical Models. ICANN (1) Ryo Karakida, Masato Okada, Shun-ichi Amari
2016	J	`jnl`	Bayesian Robust Tensor Factorization for Incomplete Multiway Data. IEEE Trans. Neural Networks Learn. Syst. Qibin Zhao, Guoxu Zhou, Liqing Zhang, Andrzej Cichocki, Shun-ichi Amari
2016	J	`jnl`	Dynamical analysis of contrastive divergence learning: Restricted Boltzmann machines with Gaussian visible units. Neural Networks Ryo Karakida, Masato Okada, Shun-ichi Amari
2016	B	`conf`	Maximum likelihood learning of RBMs with Gaussian visible units on the Stiefel manifold. ESANN Ryo Karakida, Masato Okada, Shun-ichi Amari
2016	J	`jnl`	Measuring Integrated Information from the Decoding Perspective. PLoS Comput. Biol. Masafumi Oizumi, Shun-ichi Amari, Toru Yanagawa, Naotaka Fujii, Naotsugu Tsuchiya
2016	J	`jnl`	On Conformal Divergences and Their Population Minimizers. IEEE Trans. Inf. Theory Richard Nock, Frank Nielsen, Shun-ichi Amari
2016	J	`jnl`	ℓ IEEE Trans. Inf. Theory Masahiro Yukawa, Shun-ichi Amari
2015	J	`jnl`	A Novel Approach to Canonical Divergences within Information Geometry. Entropy Nihat Ay, Shun-ichi Amari
2015	J	`jnl`	A unified framework for information integration based on information geometry. CoRR Masafumi Oizumi, Naotsugu Tsuchiya, Shun-ichi Amari
2015	J	`jnl`	Log-Determinant Divergences Revisited: Alpha-Beta and Gamma Log-Det Divergences. Entropy Andrzej Cichocki, Sergio Cruces, Shun-ichi Amari
2015	J	`jnl`	Measuring integrated information from the decoding perspective. CoRR Masafumi Oizumi, Shun-ichi Amari, Toru Yanagawa, Naotaka Fujii, Naotsugu Tsuchiya
2015	J	`jnl`	Spontaneous Motion on Two-Dimensional Continuous Attractors. Neural Comput. C. C. Alan Fung, Shun-ichi Amari
2015	—	`conf`	Standard Divergence in Manifold of Dual Affine Connections. GSI Shun-ichi Amari, Nihat Ay
2015	—	`conf`	The Pontryagin Forms of Hessian Manifolds. GSI John Armstrong, Shun-ichi Amari
2014	J	`jnl`	Can Critical-Point Paths Under ℓ IEEE Trans. Inf. Theory Kwangjin Jeong, Masahiro Yukawa, Shun-ichi Amari
2014	—	`ch.`	Information Geometry as Applied to Neural Spike Data. Encyclopedia of Computational Neuroscience Shun-ichi Amari
2014	J	`jnl`	Information Geometry of Positive Measures and Positive-Definite Matrices: Decomposable Dually Flat Structure. Entropy Shun-ichi Amari
2014	J	`jnl`	Log-Determinant Divergences Revisited: Alpha-Beta and Gamma Log-Det Divergences. CoRR Andrzej Cichocki, Sergio Cruces, Shun-ichi Amari
2014	J	`jnl`	On Clustering Histograms with Entropy Frank Nielsen, Richard Nock, Shun-ichi Amari
2014	J	`jnl`	Robust Bayesian Tensor Factorization for Incomplete Multiway Data. CoRR Qibin Zhao, Guoxu Zhou, Liqing Zhang, Andrzej Cichocki, Shun-ichi Amari
2014	J	`jnl`	Sparse Representation for Brain Signal Processing: A tutorial on methods and applications. IEEE Signal Process. Mag. Yuanqing Li, Zhuliang Yu, Ning Bi, Yong Xu, Zhenghui Gu, Shun-ichi Amari
2013	J	`jnl`	Dreaming of mathematical neuroscience for half a century. Neural Networks Shun-ichi Amari
2013	—	`conf`	Information Geometry and Its Applications: Survey. GSI Shun-ichi Amari
2013	J	`jnl`	Lp-Regularized Least Squares (0<p<1) and Critical Path CoRR Masahiro Yukawa, Shun-ichi Amari
2013	J	`jnl`	Minkovskian Gradient for Sparse Optimization. IEEE J. Sel. Top. Signal Process. Shun-ichi Amari, Masahiro Yukawa
2013	J	`jnl`	On conformal divergences and their population minimizers. CoRR Richard Nock, Frank Nielsen, Shun-ichi Amari
2012	J	`jnl`	Identification of Directed Influence: Granger Causality, Kullback-Leibler Divergence, and Complexity. Neural Comput. Abd-Krim Seghouane, Shun-ichi Amari
2012	J	`jnl`	Self-Consistent Learning of the Environment. Neural Comput. Kukjin Kang, Shun-ichi Amari
2012	J	`jnl`	Shape Retrieval Using Hierarchical Total Bregman Soft Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Meizhu Liu, Baba C. Vemuri, Shun-ichi Amari, Frank Nielsen
2012	J	`jnl`	State-Space Analysis of Time-Varying Higher-Order Spike Correlation for Multiple Neural Spike Train Data. PLoS Comput. Biol. Hideaki Shimazaki, Shun-ichi Amari, Emery N. Brown, Sonja Grün
2012	B	`conf`	ℓp-constrained least squares (0 < p < 1) and its critical path. ISIT Masahiro Yukawa, Shun-ichi Amari
2011	B	`conf`	Data compression in multiterminal statistical inference - linear-threshold encoding. ISIT Shun-ichi Amari
2011	J	`jnl`	Generalized Alpha-Beta Divergences and Their Application to Robust Nonnegative Matrix Factorization. Entropy Andrzej Cichocki, Sergio Cruces, Shun-ichi Amari
2011	J	`jnl`	Geometry of Entropy Shun-ichi Amari, Atsumi Ohara
2011	J	`jnl`	Information Loss Associated with Imperfect Observation and Mismatched Decoding. Frontiers Comput. Neurosci. Masafumi Oizumi, Masato Okada, Shun-ichi Amari
2011	J	`jnl`	Modeling Basal Ganglia for Understanding Parkinsonian Reaching Movements. Neural Comput. K. N. Magdoom, Deepak Subramanian, V. Srinivasa Chakravarthy, Balaraman Ravindran, Shun-ichi Amari, N. Meenakshisundaram
2011	J	`jnl`	On Optimal Data Compression in Multiterminal Statistical Inference. IEEE Trans. Inf. Theory Shun-ichi Amari
2011	J	`jnl`	Total Bregman Divergence and Its Applications to DTI Analysis. IEEE Trans. Medical Imaging Baba C. Vemuri, Meizhu Liu, Shun-ichi Amari, Frank Nielsen
2011	J	`jnl`	Traveling Bumps and Their Collisions in a Two-Dimensional Neural Field. Neural Comput. Yao Lu, Yuzuru Sato, Shun-ichi Amari
2010	C	`conf`	Computations Inspired from the Brain. UC Shun-ichi Amari
2010	J	`jnl`	Conditional Mixture Model for Correlated Neuronal Spikes. Neural Comput. Shun-ichi Amari
2010	J	`jnl`	Dually flat structure with escort probability and its application to alpha-Voronoi diagrams CoRR Atsumi Ohara, Hiroshi Matsuzoe, Shun-ichi Amari
2010	J	`jnl`	Families of Alpha- Beta- and Gamma- Divergences: Flexible and Robust Measures of Similarities. Entropy Andrzej Cichocki, Shun-ichi Amari
2010	A*	`conf`	Total Bregman divergence and its applications to shape retrieval. CVPR Meizhu Liu, Baba C. Vemuri, Shun-ichi Amari, Frank Nielsen
2010	J	`jnl`	Two conditions for equivalence of 0-norm solution and 1-norm solution in sparse representation. IEEE Trans. Neural Networks Yuanqing Li, Shun-ichi Amari
2009	—	`ch.`	Combining Classifiers and Learning Mixture-of-Experts. Encyclopedia of Artificial Intelligence Lei Xu, Shun-ichi Amari
2009	—	`conf`	Divergence, Optimization and Geometry. ICONIP (1) Shun-ichi Amari
2009	J	`jnl`	Information-Geometric Measures as Robust Estimators of Connection Strengths and External Inputs. Neural Comput. Masami Tatsuno, Jean-Marc Fellous, Shun-ichi Amari
2009	J	`jnl`	Measure of Correlation Orthogonal to Change in Firing Rate. Neural Comput. Shun-ichi Amari
2009	—	`book`	Nonnegative Matrix and Tensor Factorizations - Applications to Exploratory Multi-way Data Analysis and Blind Source Separation. Andrzej Cichocki, Rafal Zdunek, Anh Huy Phan, Shun-ichi Amari
2009	—	`conf`	On the condition for fast neural computation. CDC Si Wu, Shun-ichi Amari
2009	—	`conf`	Representative and Discriminant Feature Extraction Based on NMF for Emotion Recognition in Speech. ICONIP (1) Dami Kim, Soo-Young Lee, Shun-ichi Amari
2009	Misc	`conf`	State-space analysis on time-varying correlations in parallel spike sequences. ICASSP Hideaki Shimazaki, Shun-ichi Amari, Emery N. Brown, Sonja Grün
2009	J	`jnl`	alpha-divergence is unique, belonging to both f-divergence and Bregman divergence classes. IEEE Trans. Inf. Theory Shun-ichi Amari
2008	J	`jnl`	A computational study of synaptic mechanisms of partial memory transfer in cerebellar vestibulo-ocular-reflex learning. J. Comput. Neurosci. Naoki Masuda, Shun-ichi Amari
2008	J	`jnl`	Discrimination with Spike Times and ISI Distributions. Neural Comput. Kukjin Kang, Shun-ichi Amari
2008	J	`jnl`	Dynamics and Computation of Continuous Attractors. Neural Comput. Si Wu, Kosuke Hamaguchi, Shun-ichi Amari
2008	J	`jnl`	Dynamics of Learning Near Singularities in Layered Networks. Neural Comput. Haikun Wei, Jun Zhang, Florent Cousseau, Tomoko Ozeki, Shun-ichi Amari
2008	J	`jnl`	Dynamics of Learning in Multilayer Perceptrons Near Singularities. IEEE Trans. Neural Networks Florent Cousseau, Tomoko Ozeki, Shun-ichi Amari
2008	J	`jnl`	Dynamics of learning near singularities in radial basis function networks. Neural Networks Haikun Wei, Shun-ichi Amari
2008	J	`jnl`	Equivalence Probability and Sparsity of Two Sparse Solutions in Sparse Representation. IEEE Trans. Neural Networks Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari, Shengli Xie, Cuntai Guan
2008	—	`conf`	Information Geometry and Its Applications: Convex Function and Dually Flat Manifold. ETVC Shun-ichi Amari
2008	J	`jnl`	Nonnegative Matrix and Tensor Factorization [Lecture Notes]. IEEE Signal Process. Mag. Andrzej Cichocki, Rafal Zdunek, Shun-ichi Amari
2007	J	`jnl`	Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clustering. BMC Bioinform. Nikhil R. Pal, Kripamoy Aguan, Animesh Sharma, Shun-ichi Amari
2007	B	`conf`	Eigenvalue Analysis on Singularity in RBF networks. IJCNN Haikun Wei, Shun-ichi Amari
2007	—	`conf`	Hierarchical ALS Algorithms for Nonnegative Matrix and 3D Tensor Factorization. ICA Andrzej Cichocki, Rafal Zdunek, Shun-ichi Amari
2007	J	`jnl`	Integration of Stochastic Models by Minimizing Neural Comput. Shun-ichi Amari
2007	—	`conf`	Non-Negative Tensor Factorization using Alpha and Beta Divergences. ICASSP (3) Andrzej Cichocki, Rafal Zdunek, Seungjin Choi, Robert J. Plemmons, Shun-ichi Amari
2007	—	`conf`	Novel Multi-layer Non-negative Tensor Factorization with Sparsity Constraints. ICANNGA (2) Andrzej Cichocki, Rafal Zdunek, Seungjin Choi, Robert J. Plemmons, Shun-ichi Amari
2007	—	`conf`	Sparse Super Symmetric Tensor Factorization. ICONIP (1) Andrzej Cichocki, Marko Jankovic, Rafal Zdunek, Shun-ichi Amari
2007	J	`jnl`	The AIC Criterion and Symmetrizing the Kullback-Leibler Divergence. IEEE Trans. Neural Networks Abd-Krim Seghouane, Shun-ichi Amari
2007	—	`conf`	The Tracking Speed of Continuous Attractors. ISNN (1) Si Wu, Kosuke Hamaguchi, Shun-ichi Amari
2006	J	`jnl`	A Comparison of Descriptive Models of a Single Spike Train by Information-Geometric Measure. Neural Comput. Hiroyuki Nakahara, Shun-ichi Amari, Barry J. Richmond
2006	—	`conf`	A One-Bit-Matching Learning Algorithm for Independent Component Analysis. ICA Jinwen Ma, Dengpan Gao, Fei Ge, Shun-ichi Amari
2006	—	`conf`	Analysis of Feasible Solutions of the ICA Problem Under the One-Bit-Matching Condition. ICA Jinwen Ma, Zhe Chen, Shun-ichi Amari
2006	—	`conf`	Analysis of Source Sparsity and Recoverability for SCA Based Blind Source Separation. ICA Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari, Cuntai Guan
2006	J	`jnl`	Blind estimation of channel parameters and source components for EEG signals: a sparse factorization approach. IEEE Trans. Neural Networks Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari
2006	J	`jnl`	Correlation and Independence in the Neural Code. Neural Comput. Shun-ichi Amari, Hiroyuki Nakahara
2006	—	`conf`	Csiszár's Divergences for Non-negative Matrix Factorization: Family of New Algorithms. ICA Andrzej Cichocki, Rafal Zdunek, Shun-ichi Amari
2006	J	`jnl`	Estimating Spiking Irregularities Under Changing Environments. Neural Comput. Keiji Miura, Masato Okada, Shun-ichi Amari
2006	Misc	`conf`	Extended SMART Algorithms for Non-negative Matrix Factorization . ICAISC Andrzej Cichocki, Shun-ichi Amari, Rafal Zdunek, Raul Kompass, Gen Hori, Zhaoshui He
2006	J	`jnl`	Global Exponential Stability of Multitime Scale Competitive Neural Networks With Nonsmooth Functions. IEEE Trans. Neural Networks Hongtao Lu, Shun-ichi Amari
2006	—	`conf`	New Algorithms for Non-Negative Matrix Factorization in Applications to Blind Source Separation. ICASSP (5) Andrzej Cichocki, Rafal Zdunek, Shun-ichi Amari
2006	B	`conf`	Online Learning Dynamics of Radial Basis Function Neural Networks near the Singularity. IJCNN Haikun Wei, Shun-ichi Amari
2006	J	`jnl`	Probability Estimation for Recoverability Analysis of Blind Source Separation Based on Sparse Representation. IEEE Trans. Inf. Theory Yuanqing Li, Shun-ichi Amari, Andrzej Cichocki, Cuntai Guan
2006	J	`jnl`	Removal of ballistocardiogram artifacts from simultaneously recorded EEG and fMRI data using independent component analysis. IEEE Trans. Biomed. Eng. Wakako Nakamura, Kimitaka Anami, Takeyuki Mori, Osamu Saitoh, Andrzej Cichocki, Shun-ichi Amari
2006	J	`jnl`	Singularities Affect Dynamics of Learning in Neuromanifolds. Neural Comput. Shun-ichi Amari, Hyeyoung Park, Tomoko Ozeki
2006	—	`conf`	The Ideal Noisy Environment for Fast Neural Computation. ISNN (1) Si Wu, Jianfeng Feng, Shun-ichi Amari
2006	J	`jnl`	Underdetermined blind source separation based on sparse representation. IEEE Trans. Signal Process. Yuanqing Li, Shun-ichi Amari, Andrzej Cichocki, Daniel W. C. Ho, Shengli Xie
2005	J	`jnl`	Computing with Continuous Attractors: Stability and Online Aspects. Neural Comput. Si Wu, Shun-ichi Amari
2005	J	`jnl`	Difficulty of Singularity in Population Coding. Neural Comput. Shun-ichi Amari, Hiroyuki Nakahara
2005	J	`jnl`	Geometrical methods in neural networks and learning. Neurocomputing Simone G. O. Fiori, Shun-ichi Amari
2005	J	`jnl`	Information geometry for turbo decoding. Syst. Comput. Jpn. Shiro Ikeda, Toshiyuki Tanaka, Shun-ichi Amari
2005	—	`conf`	Modeling Memory Transfer and Saving in Cerebellar Motor Learning. NIPS Naoki Masuda, Shun-ichi Amari
2005	J	`jnl`	Part 1: Tutorial Series on Brain-Inspired Computing. New Gener. Comput. Shun-ichi Amari
2005	—	`conf`	Population Coding, Bayesian Inference and Information Geometry. ISNN (1) Shun-ichi Amari
2005	—	`conf`	Unbiased Estimator of Shape Parameter for Spiking Irregularities under Changing Environments. NIPS Keiji Miura, Masato Okada, Shun-ichi Amari
2005	J	`jnl`	α-parallel prior and its properties. IEEE Trans. Inf. Theory Jun'ichi Takeuchi, Shun-ichi Amari
2004	J	`jnl`	Analysis of Sparse Representation and Blind Source Separation. Neural Comput. Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari
2004	—	`conf`	Beyond ICA: robust sparse signal representations. ISCAS (5) Andrzej Cichocki, Yuanqing Li, Pando G. Georgiev, Shun-ichi Amari
2004	J	`jnl`	From blind signal extraction to blind instantaneous signal separation: criteria, algorithms, and stability. IEEE Trans. Neural Networks Sergio Antonio Cruces-Alvarez, Andrzej Cichocki, Shun-ichi Amari
2004	J	`jnl`	Gradient Adaptive Paraunitary Filter Banks for Spatio-Temporal Subspace Analysis and Multichannel Blind Deconvolution. J. VLSI Signal Process. Scott C. Douglas, Shun-ichi Amari, Sun-Yuan Kung
2004	J	`jnl`	Improved Parameter Estimation for Variance-stabilizing Transformation of Gene-expression Microarray Data. J. Bioinform. Comput. Biol. Masato Inoue, Shin-ichi Nishimura, Gen Hori, Hiroyuki Nakahara, Michiko Saito, Yoshihiro Yoshihara, Shun-ichi Amari
2004	J	`jnl`	Improving Generalization Performance of Natural Gradient Learning Using Optimized Regularization by NIC. Neural Comput. Hyeyoung Park, Noboru Murata, Shun-ichi Amari
2004	J	`jnl`	Information Geometry of Turbo and Low-Density Parity-Check Codes. IEEE Trans. Inf. Theory Shiro Ikeda, Toshiyuki Tanaka, Shun-ichi Amari
2004	J	`jnl`	Information processing in a neuron ensemble with the multiplicative correlation structure. Neural Networks Si Wu, Shun-ichi Amari, Hiroyuki Nakahara
2004	B	`conf`	Japanese Neuroinformatics Project in Vision and RIKEN Brain Science Institute. IJCNN Shiro Usui, Shun-ichi Amari
2004	J	`jnl`	Multichannel blind deconvolution of nonminimum-phase systems using filter decomposition. IEEE Trans. Signal Process. Liqing Zhang, Andrzej Cichocki, Shun-ichi Amari
2004	—	`conf`	Postnonlinear Overcomplete Blind Source Separation Using Sparse Sources. ICA Fabian J. Theis, Shun-ichi Amari
2004	J	`jnl`	Self-adaptive blind source separation based on activation functions adaptation. IEEE Trans. Neural Networks Liqing Zhang, Andrzej Cichocki, Shun-ichi Amari
2004	J	`jnl`	Stochastic Reasoning, Free Energy, and Information Geometry. Neural Comput. Shiro Ikeda, Toshiyuki Tanaka, Shun-ichi Amari
2003	J	`jnl`	A robust approach to independent component analysis of signals with high-level noise measurements. IEEE Trans. Neural Networks Jianting Cao, Noboru Murata, Shun-ichi Amari, Andrzej Cichocki, Tsunehiro Takeda
2003	J	`jnl`	Approximate Maximum Likelihood Source Separation Using the Natural Gradient. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Seungjin Choi, Andrzej Cichocki, Liqing Zhang, Shun-ichi Amari
2003	J	`jnl`	Gene Interaction in DNA Microarray Data Is Decomposed by Information Geometric Measure. Bioinform. Hiroyuki Nakahara, Shin-ichi Nishimura, Masato Inoue, Gen Hori, Shun-ichi Amari
2003	J	`jnl`	Introduction to Special Issue on Independent Components Analysis. J. Mach. Learn. Res. Te-Won Lee, Jean-François Cardoso, Erkki Oja, Shun-ichi Amari
2003	J	`jnl`	Learning Coefficients of Layered Models When the True Distribution Mismatches the Singularities. Neural Comput. Sumio Watanabe, Shun-ichi Amari
2003	J	`jnl`	Learning and inference in hierarchical models with singularities. Syst. Comput. Jpn. Shun-ichi Amari, Tomoko Ozeki, Hyeyoung Park
2003	J	`jnl`	Neuroinformatics - Introduction. Neural Networks Shun-ichi Amari, Michael A. Arbib, Rolf Kötter
2003	J	`jnl`	Neuroscience data and tool sharing - A legal and policy framework for neuroinformatics. Neuroinformatics Peter Eckersley, Gary F. Egan, Erik De Schutter, Yiyuan Tang, Mirko Novak, Václav Sebesta, Line Matthiessen, Iiro P. Jääskeläinen, Ulla Ruotsalainen, Andreas V. M. Herz, K. Peter Hoffmann, Raphael Ritz, Viji Ravindranath, Francesco Beltrame, Shun-ichi Amari, Shiro Usui, Soo-Young Lee, Jaap van Pelt, Jan G. Bjaalie, Andrzej Wróbel, Fernando Mira da Silva, Carmen González, Sten Grillner, Paul F. M. J. Verschure, Turgay Dalkara, Robert Bennett, David Willshaw, Stephen H. Koslow, Perry L. Miller, Shankar Subramaniam, Arthur W. Toga
2003	J	`jnl`	On Some Singularities in Parameter Estimation Problems. Probl. Inf. Transm. Shun-ichi Amari, Marat V. Burnashev
2003	B	`conf`	On different ensembles of kernel machines. ESANN Michiko Yamana, Hiroyuki Nakahara, Massimiliano Pontil, Shun-ichi Amari
2003	J	`jnl`	Sequential Bayesian Decoding with a Population of Neurons. Neural Comput. Si Wu, Danmei Chen, Mahesan Niranjan, Shun-ichi Amari
2003	—	`conf`	Sparse Representation and Its Applications in Blind Source Separation. NIPS Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari, Sergei L. Shishkin, Jianting Cao, Fanji Gu
2003	J	`jnl`	Synchronous Firing and Higher-Order Interactions in Neuron Pool. Neural Comput. Shun-ichi Amari, Hiroyuki Nakahara, Si Wu, Yutaka Sakai
2002	—	`book`	Adaptive Blind Signal and Image Processing - Learning Algorithms and Applications. Andrzej Cichocki, Shun-ichi Amari
2002	J	`jnl`	Asymptotic behaviors of population codes. Neurocomputing Si Wu, Shun-ichi Amari, Hiroyuki Nakahara
2002	J	`jnl`	Attention modulation of neural tuning through peak and base rate in correlated firing. Neural Networks Hiroyuki Nakahara, Shun-ichi Amari
2002	J	`jnl`	Blind signal separation and independent component analysis. Neurocomputing Shun-ichi Amari, Aapo Hyvärinen, Soo-Young Lee, Te-Won Lee, V. David Sánchez A.
2002	J	`jnl`	Conformal Transformation of Kernel Functions A Data Dependent Way to Improve Support Vector Machine Classifiers. Neural Process. Lett. Si Wu, Shun-ichi Amari
2002	—	`conf`	Critical Lines in Symmetry of Mixture Models and its Application to Component Splitting. NIPS Kenji Fukumizu, Shotaro Akaho, Shun-ichi Amari
2002	J	`jnl`	Equivariant nonstationary source separation. Neural Networks Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari
2002	J	`jnl`	Global Convergence Rate of Recurrently Connected Neural Networks. Neural Comput. Tianping Chen, Wenlian Lu, Shun-ichi Amari
2002	J	`jnl`	Independent Component Analysis (ICA) and Method of Estimating Functions. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Shun-ichi Amari
2002	J	`jnl`	Independent component analysis for unaveraged single-trial MEG data decomposition and single-dipole source localization. Neurocomputing Jianting Cao, Noboru Murata, Shun-ichi Amari, Andrzej Cichocki, Tsunehiro Takeda
2002	—	`conf`	Information Geometry of Neural Learning and Belief Propagation. FSKD Shun-ichi Amari
2002	B	`conf`	Information geometry of statistical inference - an overview. ITW Shun-ichi Amari
2002	J	`jnl`	Information-Geometric Measure for Neural Spikes. Neural Comput. Hiroyuki Nakahara, Shun-ichi Amari
2002	J	`jnl`	On Density Estimation under Relative Entropy Loss Criterion. Probl. Inf. Transm. Marat V. Burnashev, Shun-ichi Amari
2002	J	`jnl`	On a new blind signal extraction algorithm: different criteria and stability analysis. IEEE Signal Process. Lett. Sergio Antonio Cruces-Alvarez, Andrzej Cichocki, Shun-ichi Amari
2002	J	`jnl`	On-line learning in changing environments with applications in supervised and unsupervised learning. Neural Networks Noboru Murata, Motoaki Kawanabe, Andreas Ziehe, Klaus-Robert Müller, Shun-ichi Amari
2002	J	`jnl`	Population Coding and Decoding in a Neural Field: A Computational Study. Neural Comput. Si Wu, Shun-ichi Amari, Hiroyuki Nakahara
2002	J	`jnl`	Self-Organization in the Basal Ganglia with Modulation of Reinforcement Signals. Neural Comput. Hiroyuki Nakahara, Shun-ichi Amari, Okihide Hikosaka
2002	—	`conf`	The Effect of Singularities in a Learning Machine when the True Parameters Do Not Lie on such Singularities. NIPS Sumio Watanabe, Shun-ichi Amari
2001	J	`jnl`	Attention Modulation of Neural Tuning Through Peak and Base Rate. Neural Comput. Hiroyuki Nakahara, Si Wu, Shun-ichi Amari
2001	—	`conf`	Equi-convergence Algorithm for Blind Separation of Sources with Arbitrary Distributions. IWANN (2) Liqing Zhang, Shun-ichi Amari, Andrzej Cichocki
2001	J	`jnl`	Exponential Convergence of Delayed Dynamical Systems. Neural Comput. Tianping Chen, Shun-ichi Amari
2001	—	`conf`	Generalization Error and Training Error at Singularities of Multilayer Perceptrons. IWANN (1) Shun-ichi Amari, Tomoko Ozeki, Hyeyoung Park
2001	—	`conf`	Geometrical Singularities in the Neuromanifold of Multilayer Perceptrons. NIPS Shun-ichi Amari, Hyeyoung Park, Tomoko Ozeki
2001	—	`conf`	Information Geometrical Framework for Analyzing Belief Propagation Decoder. NIPS Shiro Ikeda, Toshiyuki Tanaka, Shun-ichi Amari
2001	J	`jnl`	Information geometry on hierarchy of probability distributions. IEEE Trans. Inf. Theory Shun-ichi Amari
2001	—	`conf`	Information-Geometric Decomposition in Spike Analysis. NIPS Hiroyuki Nakahara, Shun-ichi Amari
2001	—	`conf`	Information-Geometrical Significance of Sparsity in Gallager Codes. NIPS Toshiyuki Tanaka, Shiro Ikeda, Shun-ichi Amari
2001	—	`conf`	Neural Implementation of Bayesian Inference in Population Codes. NIPS Si Wu, Shun-ichi Amari
2001	J	`jnl`	New theorems on global convergence of some dynamical systems. Neural Networks Tianping Chen, Shun-ichi Amari
2001	J	`jnl`	Population Coding with Correlation and an Unfaithful Model. Neural Comput. Si Wu, Hiroyuki Nakahara, Shun-ichi Amari
2001	J	`jnl`	Semiparametric model and superefficiency in blind deconvolution. Signal Process. Liqing Zhang, Shun-ichi Amari, Andrzej Cichocki
2001	J	`jnl`	Sequential Extraction of Minor Components. Neural Process. Lett. Tianping Chen, Shun-ichi Amari, Noboru Murata
2001	J	`jnl`	Stability of asymmetric Hopfield networks. IEEE Trans. Neural Networks Tianping Chen, Shun-ichi Amari
2001	—	`conf`	The Minimum Entropy and Cumulants Based Contrast Functions for Blind Source Extraction. IWANN (2) Sergio Cruces, Andrzej Cichocki, Shun-ichi Amari
2001	J	`jnl`	Unified stabilization approach to principal and minor components extraction algorithms. Neural Networks Tianping Chen, Shun-ichi Amari
2000	J	`jnl`	Adaptive Method of Realizing Natural Gradient Learning for Multilayer Perceptrons. Neural Comput. Shun-ichi Amari, Hyeyoung Park, Kenji Fukumizu
2000	J	`jnl`	Adaptive natural gradient learning algorithms for various stochastic models. Neural Networks Hyeyoung Park, Shun-ichi Amari, Kenji Fukumizu
2000	B	`conf`	An Efficient Learning Algorithm Using Naturla Gradient and Second Order Information of Error Surface. PRICAI Hyeyoung Park, Kenji Fukumizu, Shun-ichi Amari, Yillbyung Lee
2000	J	`jnl`	Dynamic behavior of the robust decorrelation process. Neurocomputing Tianping Chen, Shun-ichi Amari
2000	J	`jnl`	Estimating Functions of Independent Component Analysis for Temporally Correlated Signals. Neural Comput. Shun-ichi Amari
2000	J	`jnl`	Flexible Independent Component Analysis. J. VLSI Signal Process. Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari
2000	B	`conf`	Information Geometry of Neural Networks. PRICAI Shun-ichi Amari
2000	—	`conf`	Iterative Design of Regularizers Based on Data by Minimizing Generalization Errors. IJCNN (1) Masumi Ishikawa, Hirohito Shimada, Shun-ichi Amari
2000	J	`jnl`	Local minima and plateaus in hierarchical structures of multilayer perceptrons. Neural Networks Kenji Fukumizu, Shun-ichi Amari
2000	Misc	`conf`	Local stability analysis of flexible independent component analysis algorithm. ICASSP Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari
2000	J	`jnl`	Mutual information of sparsely coded associative memory with self-control and ternary neurons. Neural Networks Désiré Bollé, David Renato C. Dominguez-Carreta, Shun-ichi Amari
2000	J	`jnl`	Nonholonomic Orthogonal Learning Algorithms for Blind Source Separation. Neural Comput. Shun-ichi Amari, Tianping Chen, Andrzej Cichocki
2000	J	`jnl`	On gradient adaptation with unit-norm constraints. IEEE Trans. Signal Process. Scott C. Douglas, Shun-ichi Amari, Sun-Yuan Kung
2000	J	`jnl`	Special topic section on advances in statistical signal processing for medicine. IEEE Trans. Biomed. Eng. José C. Príncipe, Sergio Cerutti, Shun-ichi Amari
2000	J	`jnl`	The Lob-Pass Problem. J. Comput. Syst. Sci. Jun'ichi Takeuchi, Naoki Abe, Shun-ichi Amari
2000	—	`conf`	Unfaithful Population Decoding. IJCNN (2) Si Wu, Danmei Chen, Shun-ichi Amari
1999	Misc	`conf`	Adaptive paraunitary filter banks for principal and minor subspace analysis. ICASSP Scott C. Douglas, Shun-ichi Amari, Sun-Yuan Kung
1999	J	`jnl`	Blind Separation of a Mixture of Uniformly Distributed Source Signals: A Novel Approach. Neural Comput. Jayanta Basak, Shun-ichi Amari
1999	J	`jnl`	Blind separation of uniformly distributed signals: a general approach. IEEE Trans. Neural Networks Jayanta Basak, Shun-ichi Amari
1999	J	`jnl`	Improving support vector machine classifiers by modifying kernel functions. Neural Networks Shun-ichi Amari, Si Wu
1999	J	`jnl`	Natural Gradient Learning for Over- and Under-Complete Bases in ICA. Neural Comput. Shun-ichi Amari
1999	J	`jnl`	Natural gradient algorithm for blind separation of overdetermined mixture with additive noise. IEEE Signal Process. Lett. Liqing Zhang, Andrzej Cichocki, Shun-ichi Amari
1999	—	`conf`	Population Decoding Based on an Unfaithful Model. NIPS Si Wu, Hiroyuki Nakahara, Noboru Murata, Shun-ichi Amari
1999	J	`jnl`	Response. Neural Networks Tianping Chen, Shun-ichi Amari
1999	J	`jnl`	Self-whitening algorithms for adaptive equalization and deconvolution. IEEE Trans. Signal Process. Scott C. Douglas, Andrzej Cichocki, Shun-ichi Amari
1999	—	`conf`	Semiparametric Approach to Multichannel Blind Deconvolution of Nonminimum Phase Systems NIPS Liqing Zhang, Shun-ichi Amari, Andrzej Cichocki
1999	J	`jnl`	Statistical analysis of learning dynamics. Signal Process. Noboru Murata, Shun-ichi Amari
1999	J	`jnl`	Superefficiency in blind source separation. IEEE Trans. Signal Process. Shun-ichi Amari
1999	Misc	`conf`	Two spatio-temporal decorrelation learning algorithms and their application to multichannel blind deconvolution. ICASSP Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari
1998	J	`jnl`	A common neural-network model for unsupervised exploratory data analysis and independent component analysis. IEEE Trans. Neural Networks Mark A. Girolami, Andrzej Cichocki, Shun-ichi Amari
1998	J	`jnl`	A self-stabilized minor subspace rule. IEEE Signal Process. Lett. Scott C. Douglas, Sun-Yuan Kung, Shun-ichi Amari
1998	J	`jnl`	A unified algorithm for principal and minor components extraction. Neural Networks Tianping Chen, Shun-ichi Amari, Qin Lin
1998	J	`jnl`	Adaptive blind signal processing-neural network approaches. Proc. IEEE Shun-ichi Amari, Andrzej Cichocki
1998	J	`jnl`	Complexity Issues in Natural Gradient Descent Method for Training Multi-Layer Perceptrons. Neural Comput. Howard Hua Yang, Shun-ichi Amari
1998	—	`conf`	Convergence of the Wake-Sleep Algorithm. NIPS Shiro Ikeda, Shun-ichi Amari, Hiroyuki Nakahara
1998	B	`conf`	Future Perspective of 'Creating Brain' Program. ICONIP Shun-ichi Amari
1998	B	`conf`	Information Geometry of Neuro-Manifolds. ICONIP Shun-ichi Amari
1998	J	`jnl`	Information-theoretic approach to blind separation of sources in non-linear mixture. Signal Process. Howard Hua Yang, Shun-ichi Amari, Andrzej Cichocki
1998	J	`jnl`	Learned parametric mixture based ICA algorithm. Neurocomputing Lei Xu, Chi Chiu Cheung, Shun-ichi Amari
1998	J	`jnl`	Natural Gradient Works Efficiently in Learning. Neural Comput. Shun-ichi Amari
1998	J	`jnl`	Robust techniques for independent component analysis (ICA) with noisy data. Neurocomputing Andrzej Cichocki, Scott C. Douglas, Shun-ichi Amari
1998	J	`jnl`	Statistical Inference Under Multiterminal Data Compression. IEEE Trans. Inf. Theory Te Sun Han, Shun-ichi Amari
1998	J	`jnl`	Strategy Under the Unknown Stochastic Environment: The Nonparametric Lob-Pass Problem. Algorithmica K. Hiraoka, Shun-ichi Amari
1998	Misc	`conf`	Why natural gradient? ICASSP Shun-ichi Amari, Scott C. Douglas
1997	—	`conf`	Adaptive Blind Deconvolution and Equalization with Self-Adaptive Nonlinearities: An Information-theoretic Approach. ICONIP (1) Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari
1997	J	`jnl`	Adaptive On-line Learning Algorithms for Blind Separation-Maximization Entropy and Minimum Mutual Information. Neural Comput. Howard Hua Yang, Shun-ichi Amari
1997	—	`conf`	Annealed On-Line Learning in a Nonlinear Neural Net. ICONIP (1) S. Bos, Shun-ichi Amari
1997	J	`jnl`	Asymptotic statistical theory of overtraining and cross-validation. IEEE Trans. Neural Networks Shun-ichi Amari, Noboru Murata, Klaus-Robert Müller, Michael Finke, Howard Hua Yang
1997	J	`jnl`	Blind Source Separation with Convolutive Noise Cancellation. Neural Comput. Appl. Wlodzimierz Kasprzak, Andrzej Cichocki, Shun-ichi Amari
1997	Misc	`conf`	Blind equalization of switching channels by ICA and learning of learning rate. ICASSP Howard Hua Yang, Shun-ichi Amari
1997	J	`jnl`	Blind source separation-semiparametric statistical approach. IEEE Trans. Signal Process. Shun-ichi Amari, Jean-François Cardoso
1997	—	`conf`	Dual cascade networks for blind signal extraction. ICNN Andrzej Cichocki, Ruck Thawonmas, Shun-ichi Amari
1997	—	`conf`	Independent component analysis by the information-theoretic approach with mixture of densities. ICNN Lei Xu, Chi Chiu Cheung, Howard Hua Yang, Shun-ichi Amari
1997	—	`conf`	Information backpropagation for blind separation of sources in nonlinear mixture. ICNN Howard Hua Yang, Shun-ichi Amari, Andrzej Cichocki
1997	—	`conf`	Natural Gradient Learning Algorithms for Decorrelation. ICONIP (1) Seungjin Choi, Shun-ichi Amari, Andrzej Cichocki
1997	—	`conf`	Non-Holonomic Constraints in Learning Blind Source Separation. ICONIP (1) Shun-ichi Amari, Ta Chen, Andrzej Cichocki
1997	B	`conf`	Nonlinearity and separation capability: further justification for the ICA algorithm with mixture of densities. ESANN Lei Xu, Chi Chiu Cheung, Jiong Ruan, Shun-ichi Amari
1997	J	`jnl`	Stability Analysis of Learning Algorithms for Blind Source Separation. Neural Networks Shun-ichi Amari, Tianping Chen, Andrzej Cichocki
1997	Misc	`conf`	Statistical Analysis of Regularization Constant - From Bayes, MDL and NIC Points of View. IWANN Shun-ichi Amari, Noboru Murata
1997	—	`conf`	The Efficiency and the Robustness of Natural Gradient Descent Learning Rule. NIPS Howard Hua Yang, Shun-ichi Amari
1997	—	`conf`	Training Multi-Layer Perceptrons by Natural Gradient Descent. ICONIP (1) H. H. Yang, Shun-ichi Amari
1996	J	`jnl`	A Numerical Study on Learning Curves in Stochastic Multilayer Feedforward Networks. Neural Comput. Klaus-Robert Müller, Michael Finke, Noboru Murata, Klaus Schulten, Shun-ichi Amari
1996	—	`conf`	Adaptive On-line Learning in Changing Environments. NIPS Noboru Murata, Klaus-Robert Müller, Andreas Ziehe, Shun-ichi Amari
1996	J	`jnl`	Auto-associative memory with two-stage dynamics of nonmonotonic neurons. IEEE Trans. Neural Networks Hiro-Fumi Yanai, Shun-ichi Amari
1996	—	`conf`	Neural Learning in Structured Parameter Spaces - Natural Riemannian Gradient. NIPS Shun-ichi Amari
1996	—	`conf`	Neural network approach to blind separation and enhancement of images. EUSIPCO Andrzej Cichocki, Wlodzimierz Kasprzak, Shun-ichi Amari
1996	C	`conf`	Two Gradient Descent Algorithms for Blind Signal Separation. ICANN Howard Hua Yang, Shun-ichi Amari
1995	—	`conf`	A New Learning Algorithm for Blind Signal Separation. NIPS Shun-ichi Amari, Andrzej Cichocki, Howard Hua Yang
1995	J	`jnl`	Information geometry of the EM and em algorithms for neural networks. Neural Networks Shun-ichi Amari
1995	J	`jnl`	Parameter estimation with multiterminal data compression. IEEE Trans. Inf. Theory Te Sun Han, Shun-ichi Amari
1995	—	`conf`	Statistical Theory of Overtraining - Is Cross-Validation Asymptotically Effective? NIPS Shun-ichi Amari, Noboru Murata, Klaus-Robert Müller, Michael Finke, Howard Hua Yang
1995	J	`jnl`	The EM Algorithm and Information Geometry in Neural Network Learning. Neural Comput. Shun-ichi Amari
1995	—	`conf`	Training Error, Generalization Error and Learning Curves in Neural Learning. ANNES Shun-ichi Amari
1994	J	`jnl`	Differential geometric structures of stable state feedback systems with dual connections. Kybernetika Atsumi Ohara, Shun-ichi Amari
1994	J	`jnl`	Estimation of Network Parameters in Semiparametric Stochastic Perceptron. Neural Comput. Motoaki Kawanabe, Shun-ichi Amari
1994	J	`jnl`	Network information criterion-determining the number of hidden units for an artificial neural network model. IEEE Trans. Neural Networks Noboru Murata, Shuji Yoshizawa, Shun-ichi Amari
1994	J	`jnl`	Piecewise-linear division of region by neural networks with maximum detectors. Syst. Comput. Jpn. Jian Zhuang, Shun-ichi Amari
1993	—	`conf`	A theory on a neural net with nonmonotone neurons. ICNN Hiro-Fumi Yanai, Shun-ichi Amari
1993	J	`jnl`	A universal theorem on learning curves. Neural Networks Shun-ichi Amari
1993	J	`jnl`	Backpropagation and stochastic gradient descent method. Neurocomputing Shun-ichi Amari
1993	J	`jnl`	Capacity of associative memory using a nonmonotonic neuron model. Neural Networks Shuji Yoshizawa, Masahiko Morita, Shun-ichi Amari
1993	J	`jnl`	Statistical Theory of Learning Curves under Entropic Loss Criterion. Neural Comput. Shun-ichi Amari, Noboru Murata
1992	J	`jnl`	Editorial. Neural Networks Shun-ichi Amari, Stephen Grossberg, John G. Taylor
1992	J	`jnl`	Four Types of Learning Curves. Neural Comput. Shun-ichi Amari, Naotake Fujita, Shigeru Shinomoto
1992	J	`jnl`	Identifiability of hidden Markov information sources and their minimum degrees of freedom. IEEE Trans. Inf. Theory Hisashi Ito, Shun-ichi Amari, Kingo Kobayashi
1992	J	`jnl`	Information geometry of Boltzmann machines. IEEE Trans. Neural Networks Shun-ichi Amari, Koji Kurata, Hiroshi Nagaoka
1992	—	`conf`	Learning Curves, Model Selection and Complexity of Neural Networks. NIPS Noboru Murata, Shuji Yoshizawa, Shun-ichi Amari
1991	J	`jnl`	Dualistic geometry of the manifold of higher-order neurons. Neural Networks Shun-ichi Amari
1991	J	`jnl`	Mathematical Theory of Neural Learning. New Gener. Comput. Shun-ichi Amari
1990	B	`conf`	Mathematical Theory of Neural Learning. ALT Shun-ichi Amari
1990	J	`jnl`	Mathematical foundations of neurocomputing. Proc. IEEE Shun-ichi Amari
1990	B	`conf`	On the capacity of three-layer networks. IJCNN Shotaro Akaho, Shun-ichi Amari
1989	J	`jnl`	Characteristics of sparsely encoded associative memory. Neural Networks Shun-ichi Amari
1989	J	`jnl`	Statistical inference under multiterminal rate restrictions: A differential geometric approach. IEEE Trans. Inf. Theory Shun-ichi Amari, Te Sun Han
1988	J	`jnl`	Statistical neurodynamics of associative memory. Neural Networks Shun-ichi Amari, Kenjiro Maginu
1988	—	`conf`	Statistical neurodynamics of various versions of correlation associative memory. ICNN Shun-ichi Amari
1987	J	`jnl`	Differential Geometry of a Parametric Family of Invertible Linear Systems - Riemannian Metric, Dual Affine Connections, and Divergence. Math. Syst. Theory Shun-ichi Amari
1987	J	`jnl`	Neural mechanisms of information processing in the brain. Syst. Comput. Jpn. Shun-ichi Amari
1983	J	`jnl`	Field theory of self-organizing neural nets. IEEE Trans. Syst. Man Cybern. Shun-ichi Amari
1979	A*	`conf`	Theory of Self-Organizing Nerve Nets with Special Reference to Association and Concept Formation. IJCAI Shun-ichi Amari
1972	J	`jnl`	Characteristics of Random Nets of Analog Neuron-Like Elements. IEEE Trans. Syst. Man Cybern. Shun-ichi Amari
1972	J	`jnl`	Learning Patterns and Pattern Sequences by Self-Organizing Nets of Threshold Elements. IEEE Trans. Computers Shun-ichi Amari
1967	J	`jnl`	A Theory of Adaptive Pattern Classifiers. IEEE Trans. Electron. Comput. Shun-ichi Amari