Abbas HM, Fahmy MM. (1994). Neural model for Karhunen-Loeve transform with application to adaptive image compression IEEE Proceedings I, Communications, Speech and Vision. 140

Amari S, Cichocki A. (1998). Adaptive blind signal processing: Neural network approaches Proc IEEE. 86

Amari S, Cichocki A. (2003). Adaptive blind signal and image processing: Learning algorithms and applications.

Amari SI. (1977). Neural theory of association and concept-formation. Biological cybernetics. 26 [PubMed]

Atick JJ, Redlich AN. (1993). Convergent algorithm for sensory receptive field development Neural Comput. 5

Baldi PF, Hornik K. (1995). Learning in linear neural networks: a survey. IEEE transactions on neural networks. 6 [PubMed]

Bannour S, Azimi-Sadjadi MR. (1995). Principal component extraction using recursive least squares learning. IEEE transactions on neural networks. 6 [PubMed]

Barlow H. (1989). Unsupervised learning Neural Comput. 1

Barlow H. (2001). Redundancy reduction revisited. Network (Bristol, England). 12 [PubMed]

Barlow HB. (1998). Guest editorial: Cerebral predictions Perception. 27

Barlow HB, Foldiak P. (1989). Adaptation and decorrelation in the cortex The computing neuron.

Bechtel W, Abrahamsen A. (1993). Connectionism and the mind.

Bell AJ, Sejnowski TJ. (1995). An information-maximization approach to blind separation and blind deconvolution. Neural computation. 7 [PubMed]

Benvenuto N, Piazza F. (1992). On the complex back-propagation algorithm IEEE Trans Signal Processing. 40

Bertsekas DP. (1996). Constrained optimization and Lagrange multiplier methods.

Bingham E, Hyvärinen A. (2000). A fast fixed-point algorithm for independent component analysis of complex valued signals. International journal of neural systems. 10 [PubMed]

Chen T, Amari S. (2001). Unified stabilization approach to principal and minor components extraction algorithms. Neural networks : the official journal of the International Neural Network Society. 14 [PubMed]

Chen Y, Hou C. (1992). High resolution adaptive bearing estimation using a complex-weighted neural network Proc. of International Conference on Acoustics, Speech and Signal Processing. 2

Chow TW, Fang Y. (2001). Neural blind deconvolution of MIMO noisy channels IEEE Trans Circuits And Systems (Part I). 48

De_Castro MCF, De_Castro FCC, Amaral JN, Franco PRG. (1998). A complex valued Hebbian learning algorithm Proc. of International Joint Conference on Neural Networks.

Diamantaras KI, Kung SI, Taur JS. (1994). Adaptive principal component extraction (APEX) and applications IEEE Trans Signal Processing. 42

Diamantaras KI, Kung SY. (1996). Principal component neural networks: Theory and applications.

Douglas SC. (2000). On gradient adaptation with unit-norm constraints IEEE Trans Signal Processing. 48

Douglas SC, Mathis H. (2002). On the existence of universal nonlinearities for blind source separation IEEE Trans Signal Processing. 50

Eguchi S, Higuchi I. (2004). Robust principal component analysis with adaptive selection for tuning parameters J Mach Learn Res. 5

Fiori S. (2000). Blind separation of circularly distributed source signals by the neural extended APEX algorithm Neurocomputing. 34

Fiori S. (2001). A theory for learning by weight flow on Stiefel-Grassman manifold Neural Comput. 13

Fiori S. (2002). A theory for learning based on rigid bodies dynamics. IEEE transactions on neural networks. 13 [PubMed]

Fiori S. (2003). Extended Hebbian learning for blind separation of complex-valued sources IEEE Trans Circuits And Systems (part II). 50

Fiori S. (2003). A neural minor component analysis approach to robust constrained beamforming IEEE Proceedings-Vision, Image and Signal Processing. 150

Fiori S. (2003). Neural independent component analysis by 'maximum-mismatch' learning principle. Neural networks : the official journal of the International Neural Network Society. 16 [PubMed]

Fiori S. (2003). Fully-multiplicative orthogonal-group ICA neural algorithm Electronics Lett. 39

Fiori S. (2004). Fast fixed-point neural blind-deconvolution algorithm. IEEE transactions on neural networks. 15 [PubMed]

Fiori S. (2006). Fixed-point neural independent component analysis algorithms on the orthogonal group Future Generation Computer Systems. 22

Fiori S, Celledoni E. (2004). Neural learning by geometric integration of reduced rigid-body equations J Comput Appl Math. 172

Fiori S, Costa S. (2001). Image compression using principal component neural networks Image and Vision Computing Journal [Special issue]. 19

Fiori S, Faba A, Albini L, Cardelli E, Burrascano P. (2003). Numerical modeling for the localization and the assessment of electromagnetic field sources IEEE Trans Magnet. 39

Fiori S, Piazza F. (2000). A general class of -APEX PCA neural algorithms IEEE Transactions On Circuits And Systems (part I). 47

Fyfe C, Macdonald D. (2002). E-insensitive Hebbian learning Neurocomputing. 47

Földiák P. (1990). Forming sparse representations by local anti-Hebbian learning. Biological cybernetics. 64 [PubMed]

Gao K, Ahmed MO, Swamy MNS. (1994). A constrained anti-Hebbian learning algorithm for total least-squares estimation with applications to adaptive FIR and IIR filtering IEEE Trans Circuits Systems (part II). 41

Georgiou GM, Koutsougeras C. (1992). Complex-domain backpropagation IEEE Trans Circuits And Systems (part II). 39

Hairer E, Lubich C. (2002). Geometric numerical integration: Structure preserving algorithms for ordinary differential equations.

Hanna AI, Mandic DP. (2003). A complex-valued nonlinear neural adaptive filter with a gradient adaptive amplitude of the activation function. Neural networks : the official journal of the International Neural Network Society. 16 [PubMed]

Harpur GF. (1997). Low entropy coding with unsupervised neural networks Unpublished doctoral disseratation.

Haykin S. (1989). An introduction to analog and digital communications.

Haykin S. (1999). Neural Networks: A Comprehensive Foundation (2nd Ed).

Hebb DO. (1949). The Organization Of Behavior.

Hyvärinen A. (1999). Fast and robust fixed-point algorithms for independent component analysis. IEEE transactions on neural networks. 10 [PubMed]

Iserles A, Munthe-Kaas HZ, Norsett SP, Zanna A. (2000). Lie-group methods Acta Numerica. 9

Karhunen J, Joutsensalo J. (1994). Representation and separation of signals using nonlinear PCA type learning Neural Netw. 7

Karhunen J, Joutsensalo J. (1995). Generalizations of PCA, optimization problems, and neural networks Neural Netw. 8

Kates JM. (1993). Superdirective arrays for hearing aids. The Journal of the Acoustical Society of America. 94 [PubMed]

Klemm R. (1987). Adaptive airborne MTI: An auxiliary channel approach IEEE Proc. 134

Laheld B, Cardoso J-F. (1994). Adaptive source separation with uniform performance. Signal Processing VII: Theories and Applications. Proceedings of EUSIPCO-94..

Levine DS, Brown VR, Shirey TV. (1999). Oscillations in neural systems.

Liano K. (1996). Robust error measure for supervised neural network learning with outliers. IEEE transactions on neural networks. 7 [PubMed]

Lin Q, Amari SI, Chen T. (1998). A unified algorithm for principal and minor components extraction. Neural networks : the official journal of the International Neural Network Society. 11 [PubMed]

Linsker R. (1992). Local synaptic rules suffice to maximize mutual information in a linear network Neural Comput. 4

Mathew G, Reddy VU. (1994). Development and analysis of a neural network approach to Pisarenko's harmonic retrieval method IEEE Trans Signal Processing. 42

Miao Y, Hua Y. (1998). Fast subspace tracking and neural network learning by a novel information criterion IEEE Trans Signal Processing. 46

Michaels RB, Upadhyaya BR. (1999). A complex valued neural network with local learning laws Intelligent Engineering Systems Through Artificial Neural Networks. 9

Miller KD, MacKay DJC . (1994). The role of constraints in Hebbian learning. Neural Comput. 6

Moore JB, Helmke U. (1993). Optimization and dynamical systems.

Moreau E, Thirion-Moreau N. (2002). Generalized criterion for blind multivariate signal equalization Ieee Signal Processing Lette. 9

Muezzinoglu MK, Guzelis C, Zurada JM. (2003). A new design method for the complex-valued multistate Hopfield associative memory. IEEE transactions on neural networks. 14 [PubMed]

Muller D, Desodt G. (1990). Complex ICA applied to the separation of radar signals Proc. of Signal Processing V: Theories and Applications (EUSIPCO). 1

Nitta T. (1997). An Extension of the Back-Propagation Algorithm to Complex Numbers. Neural networks : the official journal of the International Neural Network Society. 10 [PubMed]

Nitta T. (2000). An analysis of the fundamental structure of complex-valued neurons Neural Processing Letters. 12

Nitta T. (2004). Orthogonality of decision boundaries in complex-valued neural networks. Neural computation. 16 [PubMed]

Oja E. (1982). A simplified neuron model as a principal component analyzer. Journal of mathematical biology. 15 [PubMed]

Oja E. (1989). Neural networks, principal components, and subspaces Int J Neural System. 1

Oja E. (1992). Principal components, minor components and linear neural networks Neural Netw. 5

Oja E. (1994). Beyond PCA: Statistical expansions by nonlinear neural networks Proc Of The International Conference On Artificial Neural Networks. 2

Oja E, Hyvarinen A, Karunen J. (2001). Independent component analysis.

Oleary DP. (1990). Robust regression computation using iteratively reweighted least squares. SIAM J Matrix Anal Appl. 11

Palmieri F, Zhu J. (1995). Self-association and Hebbian learning in linear neural networks. IEEE transactions on neural networks. 6 [PubMed]

Pandey R. (2001). Blind equalization and signal separation using neural networks Unpublished doctoral disseratation.

Plumbley MD. (1992). Efficient information transfer and anti-Hebbian neural networks. Neural Netw. 6

Plumbley MD. (2003). Algorithms for non-negative independent component analysis IEEE Trans Neural Networks. 14

Sanger TD. (1989). Optimal unsupervised learning in a single-layer linear feedforward neural networks Neural Networks. 2

Schmidt R. (1986). Multiple emitter location and signal parameter estimation IEEE Trans Antennas Propagation. 34

Shirazi MN, Peper F, Sawai H. (1999). Principal component analysis by entropy-likelihood optimization Trans Inf Proc Soc Jpn. 40

Song W, Yilong L, Feng M. (1998). An adaptive robust PCA neural network Proc of International Joint Conference on Neural Networks.

Spratling MW, Johnson MH. (2002). Preintegration lateral inhibition enhances unsupervised learning. Neural computation. 14 [PubMed]

Sudjianto A, Hassoun MH. (1995). Statistical basis of nonlinear Hebbian learning and application to clustering Neural Netw. 8

Tavan P, Rubner J. (1989). A self-organizing network for principal component analysis Europhys Lett. 10

Unbehauen R, Luo FL. (1997). Applied neural networks for signal processing.

Vegas JM, Zufiria PJ. (2004). Generalized neural networks for spectral analysis: dynamics and Liapunov functions. Neural networks : the official journal of the International Neural Network Society. 17 [PubMed]

Watanabe A, Seki M, Miyauchi M, Miyauchi A. (1993). Interpretation of optical flow through complex neural network Proc. Int. Workshop on Artificial Neural Networks: Lecture Notes in Computer Science. 686

Weingessel A, Hornik K. (2000). Local PCA algorithms. IEEE transactions on neural networks. 11 [PubMed]

Widrow B, Winter R. (1988). Neural nets for adaptive filtering and adaptive pattern recognition IEEE Computer Magazine. 21

Xu L. (1992). Least mean square error reconstruction principle for self-organizing neural nets Neural Netw. 6

Xu L, Oja E, Suen CY. (1992). Modified Hebbian learning for curve and surface fitting Neural Netw. 5

Xu L, Yuille AL. (1995). Robust PCA by self-organizing rules based on statistical physics approach IEEE Trans Neural Networks. 6

Yan WY, Helmke U, Moore JB. (1994). Global analysis of Oja's flow for neural networks. IEEE transactions on neural networks. 5 [PubMed]

Yang B. (1995). Projection approximation subspace tracking IEEE Trans Signal Processing. 43

Zufiria PJ. (2002). On the discrete-time dynamics of the basic Hebbian neural network node. IEEE transactions on neural networks. 13 [PubMed]