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  1. 2014
  2. Group-level spatial independent component analysis of Fourier envelopes of resting-state MEG data

    Ramkumar, P., Parkkonen, L. & Hyvärinen, A. 01.02.2014 In : NeuroImage. 86, p. 480-491 12 p.

    Publication: Contribution to journalA1 Refereed journal article

  3. A Bayesian inverse solution using independent component analysis

    Puuronen, J. & Hyvärinen, A. 02.2014 In : Neural Networks. 50, p. 47-59 13 p.

    Publication: Contribution to journalA1 Refereed journal article

  4. ParceLiNGAM: A Causal Ordering Method Robust Against Latent Confounders

    Tashiro, T., Shimizu, S., Hyvärinen, A. & Washio, T. 01.2014 In : Neural Computation. 26, 1, p. 57-83 27 p.

    Publication: Contribution to journalB1 Unrefereed journal article

  5. 2013
  6. Decoding magnetoencephalographic rhythmic activity using spectrospatial information

    Kauppi, J-P., Parkkonen, L., Hari, R. & Hyvärinen, A. 12.2013 In : NeuroImage. 83, p. 921-936 16 p.

    Publication: Contribution to journalA1 Refereed journal article

  7. A three-layer model of natural image statistics

    Gutmann, M. U. & Hyvärinen, A. 11.2013 In : Journal of Physiology (Paris). 107, 5, p. 369-398 30 p.

    Publication: Contribution to journalA1 Refereed journal article

  8. Correlated topographic analysis: estimating an ordering of correlated components

    Sasaki, H., Gutmann, M. U., Shouno, H. & Hyvärinen, A. 09.2013 In : Machine Learning. 92, 2-3, p. 285-317 33 p.

    Publication: Contribution to journalA1 Refereed journal article

  9. Testing independent component patterns by inter-subject or inter-session consistency

    Hyvärinen, A. & Ramkumar, P. 22.03.2013 In : Frontiers in Human Neuroscience . 7, 15 p.

    Publication: Contribution to journalA1 Refereed journal article

  10. Independent component analysis: recent advances

    Hyvärinen, A. 13.02.2013 In : Philosophical transactions - Royal Society. Mathematical, Physical and engineering sciences. 371, 1984, 19 p.

    Publication: Contribution to journalA2 Review in scientific journal

  11. Pairwise Likelihood Ratios for Estimation of Non-Gaussian Structural Equation Models

    Hyvärinen, A. & Smith, S. M. 01.2013 In : Journal of Machine Learning Research. 14, p. 111-152 42 p.

    Publication: Contribution to journalA1 Refereed journal article

  12. Non-linear canonical correlation for joint analysis of MEG signals from two subjects

    Campi, C., Parkkonen, L., Hari, R. & Hyvärinen, A. 2013 In : Frontiers in Neuroscience. 7, 107, 7 p.

    Publication: Contribution to journalA1 Refereed journal article

  13. 2012
  14. Characterization of neuromagnetic brain rhythms over time scales of minutes using spatial independent component analysis

    Ramkumar, P., Parkkonen, L., Hari, R. & Hyvärinen, A. 2012 In : Human Brain Mapping. 33, 7, p. 1648-1662 15 p.

    Publication: Contribution to journalA1 Refereed journal article

  15. Estimation of causal orders in a linear non-gaussian acyclic model: a method robust against latent confounders

    Tashiro, T., Shimizu, S., Hyvärinen, A. & Washio, T. 2012 p. 491-498 8 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  16. Learning a selectivity-invariance-selectivity feature extraction architecture for images

    Gutmann, M. U. & Hyvärinen, A. 2012

    Publication: Conference contributionA4 Article in conference publication (refereed)

  17. Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics

    Gutmann, M. U. & Hyvärinen, A. 2012 In : Journal of Machine Learning Research. 13, p. 307-361 55 p.

    Publication: Contribution to journalA1 Refereed journal article

  18. Structural equations and divisive normalization for energy-dependent component analysis

    Hirayama, J. & Hyvärinen, A. 2012 9 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  19. Topographic Analysis of Correlated Components

    Sasaki, H., Gutmann, M. U., Shouno, H. & Hyvärinen, A. 2012 In : JMRL : Workshop and Conference Proceedings. 25, 14 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  20. 2011
  21. A general linear non-Gaussian state-space model: Identifiability, identification, and application

    Zhang, K. & Hyvärinen, A. 2011 In : JMRL : Workshop and Conference Proceedings. 20, p. 113–128 16 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  22. Complex-valued independent component analysis of natural images

    Laparra, V., Gutmann, M. U., Malo, J. & Hyvärinen, A. 2011 p. 213-220 8 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  23. DirectLiNGAM: A direct method for learning a linear non-Gaussian structural equation model

    Shimizu, S., Inazumi, T., Sogawa, Y., Hyvärinen, A., Kawahara, Y., Washio, T., Hoyer, P. & Bollen, K. 2011 In : Journal of Machine Learning Research. 12, 24 p.

    Publication: Contribution to journalA1 Refereed journal article

  24. Estimating Exogenous Variables in Data with More Variables than Observations

    Sogawa, Y., Shimizu, S., Hyvärinen, A., Washio, T., Shimamura, T. & Imoto, S. 2011 In : Neural Networks. 24, 8, p. 875-880

    Publication: Contribution to journalA1 Refereed journal article

  25. Extracting coactivated features from multiple datasets

    Gutmann, M. U. & Hyvärinen, A. 2011 p. 323-330 8 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  26. Hermite Polynomials and Measures of Non-Gaussianity

    Puuronen, J. S. & Hyvärinen, A. 2011 p. 205--212

    Publication: Conference contributionA4 Article in conference publication (refereed)

  27. Learning Topographic Representations for Linearly Correlated Components

    Sasaki, H., Gutmann, M. U., Shouno, H. & Hyvärinen, A. 2011 9 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  28. Testing the ICA mixing matrix based on inter-subject or inter-session consistency

    Hyvärinen, A. 2011 In : NeuroImage. 58, 1, p. 122-136

    Publication: Contribution to journalA1 Refereed journal article

  29. 2010
  30. A Family of Computationally Efficient and Simple Estimators for Unnormalized Statistical Models

    Pihlaja, M., Gutmann, M. U. & Hyvärinen, A. J. 2010 8 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  31. A Two-Layer Model of Natural Stimuli Estimated with Score Matching

    Köster, U. & Hyvärinen, A. 2010 In : Neural Computation. 22, 9, p. 2308-2333 26 p.

    Publication: Contribution to journalA1 Refereed journal article

  32. Characterization of spontaneous neuromagnetic brain rhythms using independent component analysis of short-time Fourier transforms

    Ramkumar, P., Hyvärinen, A., Parkkonen, L. & Hari, R. 2010

    Publication: Conference contributionA4 Article in conference publication (refereed)

  33. Discovery of exogenous variables in data with more variables than observations

    Sogawa, Y., Shimizu, S., Hyvärinen, A., Washio, T., Shimamura, T. & Imoto, S. 2010 p. 67-76

    Publication: Conference contributionA4 Article in conference publication (refereed)

  34. Distinguishing causes from effects using nonlinear acyclic causal models

    Zhang , K. & Hyvärinen, A. 2010 p. 157–164

    Publication: Conference contributionA4 Article in conference publication (refereed)

  35. Estimation of a Structural Vector Autoregression Model Using Non-Gaussianity

    Hyvärinen, A., Zhang , K., Shimizu , S. & Hoyer, P. O. 2010 In : Journal of Machine Learning Research. 11 , p. 1709–1731 23 p.

    Publication: Contribution to journalA1 Refereed journal article

  36. Independent component analysis of short-time Fourier transforms for spontaneous EEG/MEG analysis

    Hyvärinen , A., Ramkumar, P., Parkkonen, L. & Hari, R. 2010 In : NeuroImage. 49, 1, p. 257-271 15 p.

    Publication: Contribution to journalA1 Refereed journal article

  37. Iterative algorithms

    Zarzoso , V. & Hyvärinen, A. J. 2010 Handbook on Independent Component Analysis and Blind Source Separation . Academic Press

    Publication: Contribution to book/anthologyA3 Contribution to book/other compilations (refereed)

  38. Noise-contrastive estimation: A new estimation principle for unnormalized statistical models

    Gutmann, U. M. & Hyvärinen, A. 2010 p. 297-304 8 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  39. Pairwise measures of causal direction in linear non-gaussian acyclic models

    Hyvärinen, A. 2010 p. 1-16 16 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  40. Source separation and higher-order causal analysis of MEG and EEG

    Zhang, K. & Hyvärinen, A. 2010 p. 709-716 8 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  41. Sparse and low-rank estimation of time-varying markov networks with alternating direction method of multipliers

    Hirayama, J., Hyvärinen, A. & Ishii, S. 2010 p. 371-379 9 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  42. Statistical models of natural images and cortical visual representation

    Hyvärinen, A. 2010 In : Topics in Cognitive Science. 2 , 2, p. 251-264 14 p.

    Publication: Contribution to journalA2 Review in scientific journal

  43. WordICA-emergence of linguistic representations for words by independent component analysis

    Honkela, T., Hyvärinen, A. & Väyrynen, J. J. 2010 In : Natural Language Engineering. 16, 3, p. 277-308 32 p.

    Publication: Contribution to journalA1 Refereed journal article

  44. 2009
  45. A direct method for estimating a causal ordering in a linear non-gaussian acyclic model

    Shimizu, S., Hyvärinen, A., Kawahara, Y. & Washio, T. 2009

    Publication: Conference contributionA4 Article in conference publication (refereed)

  46. Causality discovery with additive disturbances: An informationtheoretical perspective

    Zhang , K. & Hyvärinen, A. 2009 p. 570–585

    Publication: Conference contributionA4 Article in conference publication (refereed)

  47. Estimating Markov random field potentials for natural images

    Köster, U., Lindgren, J. T. & Hyvärinen, A. 2009 p. 515-522 8 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  48. Estimation of linear non-Gaussian acyclic models for latent factors

    Shimizu, S., Hoyer, P. O. & Hyvärinen, A. 2009 In : Neurocomputing. 72, 7-9, p. 2024-2027 4 p.

    Publication: Contribution to journalA1 Refereed journal article

  49. ICA with sparse connections: Revisited

    Zhang , K., Peng, H., Chan, L. & Hyvärinen, A. J. 2009 p. 195–202

    Publication: Conference contributionA4 Article in conference publication (refereed)

  50. Learning features by contrasting natural images with noise

    Gutmann, M. U. & Hyvärinen, A. 2009 p. 623-632 10 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  51. Learning natural image structure with a horizontal product model

    Köster, U., Lindgren, J. T., Gutmann, M. & Hyvärinen, A. 2009 p. 507-514 8 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  52. Learning reconstruction and prediction of natural stimuli by a population of spiking neurons

    Gutmann, M. U., Hyvärinen, A. & Aihara , K. 2009

    Publication: Conference contributionA4 Article in conference publication (refereed)

  53. Learning spike-timings based representations of sensory stimuli with leaky integrate-and-fire neurons

    Gutmann, M. U. & Hyvärinen, A. 2009 In : BMC Neuroscience. 10, Suppl. 1, p. P144 2 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  54. Modelling image complexity by independent component analysis, with application to content-based image retrieval

    Perkiö, J. & Hyvärinen, A. 2009 p. 704-714 11 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  55. Natural image statistics: a probabilistic approach to early computational vision

    Hyvärinen, A., Hurri, J. & Hoyer, P. O. 2009 New York: Springer.

    Publication: Book/anthologyC1 Published scientific monograph

  56. Natural image statistics: energy-based models estimated by score matching

    Köster, U. & Hyvärinen, A. 2009 p. 16-25 10 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  57. On the identifiability of the post-nonlinear causal model

    Zhang , K. & Hyvärinen, A. 2009 9 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  58. Representation of cross-frequency spatial phase relationships in human visual cortex

    Henriksson, L., Hyvärinen, A. & Vanni, S. 2009 In : Journal of Neuroscience. 29, 45, p. 14342-14351 10 p.

    Publication: Contribution to journalA1 Refereed journal article

  59. Unsupervised learning by discriminating data from artificial noise

    Gutmann, M. U. & Hyvärinen, A. 2009

    Publication: Conference contributionA4 Article in conference publication (refereed)

  60. Visual features underlying perceived brightness as revealed by classification images

    Kurki, I., Peromaa, T., Hyvärinen, A. & Saarinen, J. 2009 In : PLoS One. 4, 10, p. e7432 8 p.

    Publication: Contribution to journalA1 Refereed journal article

  61. 2008
  62. Causal discovery of linear acyclic models with arbitrary distributions

    Hoyer, P. O., Hyvärinen, A., Scheines, R., Spirtes, P., Ramsey, J., Lacerda, G. & Shimizu, S. 2008 p. 282–289

    Publication: Conference contributionA4 Article in conference publication (refereed)

  63. Causal modelling combining instantaneous and lagged effects: an identifiable model based on non-Gaussianity

    Hyvärinen, A., Shimizu, S. & Hoyer, P. O. 2008 p. 424–431

    Publication: Conference contributionA4 Article in conference publication (refereed)

  64. Discovery of linear non-gaussian acyclic models in the presence of latent classes

    Shimizu, S. & Hyvärinen, A. 2008 p. 752-761 10 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  65. Estimation theory and information geometry based on denoising

    Hyvärinen, A. 2008

    Publication: Conference contributionA4 Article in conference publication (refereed)

  66. Learning encoding and decoding filters for data representation with a spiking neuron

    Gutmann, M., Hyvärinen, A. J. & Aihara , K. 2008

    Publication: Conference contributionA4 Article in conference publication (refereed)

  67. On the learning of nonlinear visual features from natural images by optimizing response energies

    Lindgren, J. T. & Hyvärinen, A. 2008 p. 1026-1033 8 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  68. Optimal approximation of signal priors

    Hyvärinen, A. 2008 In : Neural Computation. 20, 12, p. 3087-3110 24 p.

    Publication: Contribution to journalA1 Refereed journal article

  69. Spatial dependencies between local luminance and contrast in natural images

    Lindgren, J. T., Hurri, J. & Hyvärinen, A. 2008 In : Journal of vision. 8, 12, p. 1-13 13 p.

    Publication: Contribution to journalA1 Refereed journal article

  70. Spatial frequency tuning in human retinotopic visual areas

    Henriksson, L., Nurminen, L., Hyvärinen, A. & Vanni, S. 2008 In : Journal of vision. 8, 10, p. 1-13 13 p.

    Publication: Contribution to journalA1 Refereed journal article

  71. Unsupervised learning of dependencies between local luminance and contrast in natural images

    Lindgren, J. T., Hurri, J. & Hyvärinen, A. 2008 p. 356-362 7 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  72. 2007
  73. A two-layer ICA-like model estimated by score matching

    Köster, U. & Hyvärinen, A. 2007 p. 798-807 10 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  74. Behavioural priors: learning to search efficiently in action planning

    Hyvärinen, A. 2007 p. 324-328 5 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  75. Complex cell pooling and the statistics of natural images

    Hyvärinen, A. & Köster, U. 2007 In : Network: Computation in Neural Systems . 18, 2, p. 81 - 100 20 p.

    Publication: Contribution to journalA1 Refereed journal article

  76. Connections between score matching, contrastive divergence, and pseudolikelihood for continuous-valued variables

    Hyvärinen, A. 2007 In : IEEE Transactions on Neural Networks. 18, 5, p. 1529-1531 3 p.

    Publication: Contribution to journalA1 Refereed journal article

  77. Emergence of conjunctive visual features by quadratic independent component analysis

    Lindgren, J. T. & Hyvärinen, A. 2007 p. 897-904 8 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  78. Equivalence of some common linear feature extraction techniques for appearance-based object recognition tasks

    Asuncion Vicente, M., Hoyer, P. O. & Hyvärinen, A. 2007 In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 29, 5, p. 896-900 5 p.

    Publication: Contribution to journalA1 Refereed journal article

  79. Some extensions of score matching

    Hyvärinen, A. 2007 In : Computational Statistics & Data Analysis. 51, 5, p. 2499-2512 14 p.

    Publication: Contribution to journalA1 Refereed journal article

  80. The statistical properties of local log-contrast in natural images

    Lindgren, J. T., Hurri, J. & Hyvärinen, A. 2007 p. 354-363 10 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  81. Unsupervised learning of an embodied representation for action selection

    Hyvärinen, A. 2007 p. 658-665 8 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  82. 2006
  83. A linear non-gaussian acyclic model for causal discovery

    Shimizu, S., Hoyer, P. O., Hyvärinen, A. & Kerminen, A. 2006 In : Journal of Machine Learning Research. 7, p. 2003-2030 28 p.

    Publication: Contribution to journalA1 Refereed journal article

  84. A quasi-stochastic gradient algorithm for variance-dependent component analysis

    Hyvärinen, A. & Shimizu , S. 2006 p. 211–220

    Publication: Conference contributionA4 Article in conference publication (refereed)

  85. Collinear context (and learning) change the profile of the perceptual filter

    Kurki, I., Hyvärinen, A. & Laurinen, P. 2006 In : Vision Research. 46, p. 2009-2014 6 p.

    Publication: Contribution to journalA1 Refereed journal article

  86. Consistency of pseudolikelihood estimation of fully visible Boltzmann machines

    Hyvärinen, A. 2006 In : Neural Computation. 18, p. 2283-2292 10 p.

    Publication: Contribution to journalA1 Refereed journal article

  87. FastISA: A fast fixed-point algorithm for independent subspace analysis

    Hyvärinen, A. J. & Köster , U. 2006

    Publication: Conference contributionA4 Article in conference publication (refereed)

  88. Finding a causal ordering via independent component analysis

    Shimizu, S., Hyvärinen, A., Hoyer, P. O. & Kano, Y. 2006 In : Computational Statistics & Data Analysis. 50, p. 3278-3293 16 p.

    Publication: Contribution to journalA1 Refereed journal article

  89. Learning to segment any random vector

    Hyvärinen, A. J. & Perkiö, J. P. 2006 p. 4167–4172

    Publication: Conference contributionA4 Article in conference publication (refereed)

  90. New permutation algorithms for causal discovery using ICA

    Hoyer, P. O., Shimizu, S., Hyvärinen, A., Kerminen, A. & Kano, Y. 2006 p. 115-122 8 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  91. Testing significance of mixing and demixing coefficients in ICA

    Shimizu, S., Hyvärinen, A., Hoyer, P. O., Kerminen, A. & Kano, Y. 2006 p. 901-908 8 p.

    Publication: Conference contributionA4 Article in conference publication (refereed)

  92. 2005
  93. A generalized least squares approach to blind separation of sources which have variance dependencies

    Shimizu, S., Hyvärinen, A. J. & Kano, Y. 2005

    Publication: Conference contributionA4 Article in conference publication (refereed)

  94. A unifying model for blind separation of independent sources

    Hyvärinen, A. 2005 In : Signal Processing. 85, p. 1419-1427 9 p.

    Publication: Contribution to journalA1 Refereed journal article

  95. Discovery of non-gaussian linear causal models using ICA

    Shimizu, S., Hyvärinen, A. J., Kano, Y. & Hoyer, P. O. 2005 p. 526–533

    Publication: Conference contributionA4 Article in conference publication (refereed)

  96. Emergence of linguistic features: Independent component analysis of contexts

    Honkela, T., Hyvärinen, A. J. & Väyrynen , J. 2005

    Publication: Conference contributionA4 Article in conference publication (refereed)

  97. Estimation of non-normalized statistical models by score matching

    Hyvarinen, A. 2005 In : Journal of Machine Learning Research. 6, p. 695-709 15 p.

    Publication: Contribution to journalA1 Refereed journal article

  98. Independent component analysis of fMRI group studies by self-organizing clustering

    Esposito, F., Scarabino, T., Hyvärinen, A., Himberg, J., Formisano, E., Comani, S., Tedeschi, G., Goebel, R., Seifritz, E. & Di Salle, F. 2005 In : NeuroImage. 25, p. 193-205 13 p.

    Publication: Contribution to journalA1 Refereed journal article

  99. Statistical model of natural stimuli predicts edge-like pooling of spatial frequency channels in V2

    Hyvärinen, A., Gutmann, M. U. & Hoyer, P. O. 2005 In : BMC Neuroscience. 6, p. -

    Publication: Contribution to journalA1 Refereed journal article

  100. Statistical models of images and early vision

    Hyvärinen, A. J., Hoyer, P. O., Hurri, J. & Gutmann, M. U. 2005 p. 1–14

    Publication: Conference contributionA4 Article in conference publication (refereed)