The Gabor function extracts the maximum information from input local signals

Keywords

Receptive field, Maximization, Simple cell, Simple (philosophy), Pattern recognition (psychology)

References

• Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters.John Daugman — 1985
• Kohonen self-organizing feature map and its use in clusteringMarkus Törmä — 1994
• Two-dimensional spectral analysis of cortical receptive field profiles.John Daugman — 1980
• Two-dimensional Gabor-type receptive field as derived by mutual information maximizationKenji Okajima — 1998
• Complete discrete 2-D Gabor transforms by neural networks for image analysis and compressionJohn Daugman — 1988
• Deriving Receptive Fields Using an Optimal Encoding CriterionRalph Linsker — 1992
• Self-organization in a perceptual networkRalph Linsker — 1988
• Mathematical description of the responses of simple cortical cells.S. Marĉelja — 1980
• Emergence of simple-cell receptive field properties by learning a sparse code for natural imagesBruno A. Olshausen, David J. Field — 1996
• Theory of communicationДеннис Габор — 1946
• Princeton Lectures on BiophysicsWilliam Bialek — 1993
• Could information theory provide an ecological theory of sensory processing?Joseph J. Atick — 1992
• Theory of communicationДеннис Габор — 1946
• Experience-dependent self-organization of biological neural networksS. Tanaka — 1990

Cited by

• Probabilistic PCA Self-Organizing Maps富子 町井, 忠 遠藤 — 2009
• New learning rules for the ASSOM networkEzequiel L�pez-Rubio, Jos� Mu�oz-P�rez, Jos� Antonio G�mez-Ruiz — 2003
• Application of concave/Schur-concave functions to the learning of overcomplete dictionaries and sparse representationsKenneth Kreutz-Delgado, Bhaskar D. Rao — 1998
• Fourier Eigenfunctions, Uncertainty Gabor Principle and Isoresolution WaveletsL. R. Soares, H. M. de Oliveira, Renato J. Cintra — 2015
• Receptive fields of visual cortical neurons as derived by infomaxKenji Okajima, Hitoshi Imaoka — 2001
• A principal components analysis self-organizing mapEzequiel López‐Rubio, José Muñoz Pérez, José Antonio Gómez‐Ruiz — 2004
• Application of Gabor Wavelet in Quantum Holography for Image RecognitionNuo Wi Tay, Chu Kiong Loo, Mitja Peruš — 2010
• Binocular disparity encoding cells generated through an Infomax based learning algorithmKenji Okajima — 2004
• Face Recognition with Quantum Associative Networks Using Overcomplete Gabor WaveletNuo Wi Tay, Chu Kiong Loo, Mitja Peruš — 2010
• On the Choice of Band-Pass Quadrature FiltersDjamal Boukerroui, J. Alison Noble, Michael Brady — 2004
• Estimation of disparity map of stereo image pairs using spatial domain local Gabor waveletT. Malathi, M. K. Bhuyan — 2015
• Introduction of Infomax Learning Algorithm and Application for Oil Spill Detection in SAR ImagesShinzo Obi, Kenji Okajima, Yoshinori Koizumi — 2006
• Two-dimensional Gabor-type receptive field as derived by mutual information maximizationKenji Okajima — 1998
• Infomax and Receptive Field LocalizationKenji Okajima, Hitoshi Imaoka — 2002
• Automated Video Analysis of Animal Movements Using Gabor Orientation FiltersDaniel A. Wagenaar, Wiliam B. Kristan — 2010
• An Infomax-based learning rule that generates cells similar to visual cortical neuronsKenji Okajima — 2001
• A Complex Cell-Like Receptive Field Obtained by Information MaximizationKenji Okajima, Hitoshi Imaoka — 2001
• A Formulation of Fuzzy TAM Network with Gabor Type Receptive FieldsIsao Hayashi, Hiromasa Maeda — 2003
• Sparse basis selection, ICA, and majorization: towards a unified perspectiveKenneth Kreutz-Delgado, Bhaskar D. Rao — 1999
• Machine Learning Techniques Applied to Data Analysis and Anomaly Detection in ECG SignalsTomasz Andrysiak — 2016

Related papers

• Second Order Receptive Field Properties of Simple and Complex Cells Support a New Standard Model of Thalamocortical Circuitry in V1Madineh Sedigh-Sarvestani, Iván Fernández‐Lamo, Andrew Jaegle — 2014
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• Internal spatial organization of receptive fields of complex cells in the early visual cortex.K. Sasaki, Izumi Ohzawa — 2007
• Signatures of natural image statistics in cortical simple cell receptive fieldsNorbert Michael Mayer, J. Michael Herrmann, T. Geisel — 2001
• A model for the development of simple cell receptive fields and the ordered arrangement of orientation columns through activity-dependent competition between ON- and OFF-center inputsKD Miller — 1994
• Cllassnft'llcatnonJI oft' lReceptnve Fnelld! Propertnes nnJI Cat VnsUllall Cortex*Karl H. Pribram, Maryse Lassonde, M. Ptit — 1981
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