Berkes P, Wiskott L. (2006). On the analysis and interpretation of inhomogeneous quadratic forms as receptive fields. Neural computation. 18 [PubMed]

See more from authors: Berkes P · Wiskott L

References and models cited by this paper

Adelson EH, Bergen JR. (1985). Spatiotemporal energy models for the perception of motion. Journal of the Optical Society of America. A, Optics and image science. 2 [PubMed]

Baddeley R et al. (1997). Responses of neurons in primary and inferior temporal visual cortices to natural scenes. Proceedings. Biological sciences. 264 [PubMed]

Berkes P, Wiskott L. (2005). Slow feature analysis yields a rich repertoire of complex cell properties. Journal of vision. 5 [PubMed]

Bialek W, van_Steveninck R. (1988). Coding and information transfer in short spike sequences Proc Soc Lond B Biol Sci. 234

Dayan P, Abbott L. (2001). Neural encoding: Firing rates and spike statistics Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems.

De Valois RL, Albrecht DG, Thorell LG. (1982). Spatial frequency selectivity of cells in macaque visual cortex. Vision research. 22 [PubMed]

De Valois RL, Yund EW, Hepler N. (1982). The orientation and direction selectivity of cells in macaque visual cortex. Vision research. 22 [PubMed]

Fortin C. (2000). A survey of the trust region subproblem within a semidefinite framework Unpublished masters thesis.

HUBEL DH, WIESEL TN. (1962). Receptive fields, binocular interaction and functional architecture in the cat's visual cortex. The Journal of physiology. 160 [PubMed]

Hashimoto W. (2003). Quadratic forms in natural images. Network (Bristol, England). 14 [PubMed]

Hyvärinen A, Hoyer P. (2000). Emergence of phase- and shift-invariant features by decomposition of natural images into independent feature subspaces. Neural computation. 12 [PubMed]

Hyvärinen A, Hoyer PO. (2001). A two-layer sparse coding model learns simple and complex cell receptive fields and topography from natural images. Vision research. 41 [PubMed]

Jones JP, Palmer LA. (1987). An evaluation of the two-dimensional Gabor filter model of simple receptive fields in cat striate cortex. Journal of neurophysiology. 58 [PubMed]

Jutten C, Karhunen J. (2003). Advances in nonlinear blind source separation Proc. of the 4th Int. Symp. on Independent Component Analysis and Blind Signal Separation .

Körding KP, Kayser C, Einhäuser W, König P. (2004). How are complex cell properties adapted to the statistics of natural stimuli? Journal of neurophysiology. 91 [PubMed]

Lewis ER, Henry KR, Yamada WM. (2002). Tuning and timing in the gerbil ear: Wiener-kernel analysis. Hearing research. 174 [PubMed]

Mackay D. (1985). The significance of feature sensitivity Models of the visual cortex.

Marmarelis VZ, Marmarelis PN. (1978). Analysis of Physiological Systems: The White Noise Approach.

Movshon JA, Schwartz O, Simoncelli E, Rust NC. (2004). Spike triggered characterization of excitatory and suppressive stimulus dimensions in monkey V1 Neurocomputing. 1

Obermayer K, Bartsch H. (2003). Second-order statistics of natural images Neurocomputing. 52

Pollen DA, Ronner SF. (1981). Phase relationships between adjacent simple cells in the visual cortex. Science (New York, N.Y.). 212 [PubMed]

Schiller PH, Finlay BL, Volman SF. (1976). Quantitative studies of single-cell properties in monkey striate cortex. II. Orientation specificity and ocular dominance. Journal of neurophysiology. 39 [PubMed]

Schiller PH, Finlay BL, Volman SF. (1976). Quantitative studies of single-cell properties in monkey striate cortex. I. Spatiotemporal organization of receptive fields. Journal of neurophysiology. 39 [PubMed]

Scholkopf B, Smola A, Muller KR. (1998). Nonlinear component analysis as a kernel eigenvalue problem Neural Comput. 10

Schwartz O, Simoncelli EP, Chichilniksy EJ. (2002). Characterizing neural gain control using spike-triggered covariance Advances in Neural Information Processing Systems. 14

Schwartz O, Simoncelli EP, Paninski L, Pillow J. (2004). Characterization of neural responses with stochastic stimuli The New Cognitive Neurosciences (3rd ed).

Stork DG, Levinson JZ. (1982). Receptive fields and the optimal stimulus. Science (New York, N.Y.). 216 [PubMed]

Touryan J, Lau B, Dan Y. (2002). Isolation of relevant visual features from random stimuli for cortical complex cells. The Journal of neuroscience : the official journal of the Society for Neuroscience. 22 [PubMed]

Walter W. (1995). Analysis 2.

Wiskott L, Berkes P. (2002). Applying slow feature analysis to image sequences yields a rich repertoire of complex cell properties Artificial Neural Networks-ICANN 2002 Proceedings.

Wiskott L, Berkes P. (2005). On the analysis and interpretation of inhomogeneous quadratic forms as receptive fields Cognitive Sciences EPrint Archive (CogPrints) (http:--cogprints.org-4081-). 4081

Wiskott L, Sejnowski TJ. (2002). Slow feature analysis: unsupervised learning of invariances. Neural computation. 14 [PubMed]

References and models that cite this paper
This website requires cookies and limited processing of your personal data in order to function. By continuing to browse or otherwise use this site, you are agreeing to this use. See our Privacy policy and how to cite and terms of use.