V1 non-linear properties emerge from local-to-global non-linear ICA

Network: Computation in Neural Systems

Volumn 17, Issue 1, 2006, Pages 85-102

  Malo, Jesús ^a   Gutiérrez, Juan ^a  

^a UNIVERSITY OF VALENCIA   (Spain)

Author keywords

Divisive normalization; Gain control; Human vision; ICA; Incremental thresholds; Natural image statistics; Non linear systems; Wavelets

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; COMPARATIVE STUDY; HUMAN; METHODOLOGY; NONLINEAR SYSTEM; PHOTOSTIMULATION; PHYSIOLOGY; VISION; VISUAL CORTEX; VISUAL FIELD;

HUMANS; MODELS, NEUROLOGICAL; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; PHOTIC STIMULATION; VISUAL CORTEX; VISUAL FIELDS; VISUAL PERCEPTION;

EID: 33646259729     PISSN: 0954898X     EISSN: 13616536     Source Type: Journal    
DOI: 10.1080/09548980500439602     Document Type: Article

References (29)

1. Adelson E, Bergen J. 1985. Spatio-temporal energy models for the perception of motion. J Opt Soc Am A 2:284-299.
2. Barlow H. 1961. Possible principles underlying the transformation of sensory messages. In: Rosenblith W. editor: Sensory Communication, Cambridge, MIT Press, 217-234.
3. Barlow HB. 2001. Redundancy reduction revisited. Network: Computation in Neural Systems 12:241-253.
4. Cover T, Tomas J. 1991. Elements of Information Theory. New York: John Wiley & Sons.
5. Daugman J. 1980. Two-dimensional spectral analysis of cortical receptive field profiles. Vision Research 20:847-856.
6. Foley J. 1994. Human luminance pattern mechanisms: Masking experiments require a new model. J Opt Soc Am A 11:1710-1719.
7. Harvey L, Doan V. 1990. Visual masking at different polar angles in the two-dimensional fourier plane. J Opt Soc Am A 7:116-127.
8. Heeger DJ. 1992. Normalization of cell responses in cat striate cortex. Visual Neurosci 9:181-198.
9. Hyvärinen A. 1999. Fast and robust fixed-point algorithms for independent component analysis. IEEE Trans Neur Nets 10:626-634.
10. Hyvärinen A, Hurri J, Väyrynen J. 2003. Bubbles: a unifying framework for low level statistical properties of natural images sequences. JOSA A 20(7):1237-1252.
11. Hyvärinen A, Karhunen J, Oja E. 2001. Independent Component Analysis. New York: John Wiley & Sons.
12. Jackson JD. (1998). Classical Electrodynamics. NY: John Wiley and Sons.
13. 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 (ICA2003), pp. 245-256.
14. Kambhatla N, Leen T. 1997. Dimension reduction by local PCA. Neural Computation (9):1493-1500.
15. Karhunen J, Malaroiu S, Ilmoniemi M. 2000. Local linear independent component analysis based on clustering. Intl J Neur Syst 10(6):439-451.
16. Kayser C, Körding K, König P. 2003. Learning the nonlinearity of neurons from natural visual stimuli. Neural Comput. 15:1751-1759.
17. Legge G. 1981. A power law for contrast discrimination. Vision Res., 18:68-91.
18. Legge G, Foley J. 1980. Contrast masking in human vision. J Optical Soc Am 70:1458-1471.
19. Lin J. (1999). Factorizing probability density functions: Generalizing ICA. Proc. of the First Intl. Workshop on ICA and Signal Separation, pp. 313-318.
20. Malo J, Epifanio I, Navarro R, Simoncelli E. 2006. Non-linear image representation for efficient perceptual coding. 15:1. IEEE Transactions on Image Processing.
21. Malo J, Gutiérrez J, Rovira J. 2004. Perturbation analysis of the changes in V1 receptive fields due to context. GRC Sensory Coding and the Natural Environment.
22. Olshausen BA, Field DJ. 1996. Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature 381:607-609.
23. Press W, Flannery B, Teulosky S, Vetterling W. 1992. Numerical Recipes in C: The Art of Scientific Computing. Cambridge University Press, Cambridge.
24. Schwartz O, Simoncelli E. 2001. Natural signal statistics and sensory gain control. Nature Neurosci. 4(8):819-825.
25. Simoncelli E. 2003. Vision and the statistics of the visual environment. Curr Opinion Neurobiology 13:144-149.
26. Simoncelli E, Olshausen B. 2001. Natural image statistics and neural representation. Annu Rev Neurosci 24:1193-1216.
27. van Hateren J, van der Schaaf, A. 1998. Independent component filters of natural images compared with simple cells in primary visual cortex. Proc R Soc Lond B 265:359-366.
28. Watson A. 1983. Detection and recognition of simple spatial forms. In Braddick O, Sleigh A, editors, Physical and Biological Processing of Images, volume 11 of Springer Series on Information Sciences, pp 100-114, Berlin. Springer Verlag.
29. Watson A, Solomon J. 1997. A model of visual contrast gain control and pattern masking. J Opt Soc Am A 14:2379-2391.