Visual System - Receptive Fields - Computational Models

Bibliography compiled by Laurenz Wiskott in context of
the research project SFA yields complex cell properties


Support level: Low - 2002. This bibliography is not well supported. It contains references to papers I happened to have and references I came across while maintaining other bibliographies.

Publication types: Journal articles only. To keep effort low and quality high, I have confined this bibliography to journal articles only. Red titles indicate survey articles.

Online papers: An 'A' or 'P' (or 'T' for text only) after a reference link indicates that it leads to an abstract or full paper, respectively. Upper case letters refer to online documents provided by a journal, which might be accessible only to subscribers (indicated by a '?'). Lower case letters refer to online documents provided by an author. Also the links at the end of the references are differentiated in this way by upper and lower case letters at the beginning of the words 'abstract.html' etc. and by a '?', if the corresponding document is only accessible to subscribers. The site location is indicated by a preceding .uk, .com, etc.

BibTeX: A bibtex file for the journal article references is also available (compressed and uncompressed).

Feedback: Please feel free to send me any kind of feedback about this bibliography.

Related Resources

References

39 references, 21 (53%) abstracts online, 11 (28%) papers online.
1. BaueSchoLevi+99.
Bauer, U., Scholz, M., Levitt, J.B., Obermayer, K., and Lund, J.S. (1999).
A model for the depth-dependence of receptive field size and contrast sensitivity of cells in layer 4c of macaque striate cortex
Vision Research, 39(3):613-629.
(.de-abstract.html, .de-paper.ps.gz)

2. BellSejn97
Bell, A.J. and Sejnowski, T.J. (December 1997).
The `Independent Components' of natural scenes are edge filters
Vision Research, 37(23):3327-3338.
(.gov-abstract, .edu-figures.tar.Z, .edu-paper.ps.Z, .edu-paper.ps)

3. BienCoopMunr82
Bienenstock, E.L., Cooper, L.N., and Munro, P.W. (1982).
Theory for the development of neuron selectivity: Orientation specificity and binocular interaction in visual cortex
The Journal of Neuroscience, 2:32-48.
(.org-Abstract)

4. BradSkotOhza+85.
Bradley, A., Skottun, B.C., Ohzawa, I., Sclar, G., and Freeman, R.D. (1985).
Neurophysiological evaluation of the differential response model for orientation and spatial frequency discrimination
J. of the Optical Society of America A, 2:1607-1610.
(.gov-abstract, .jp-abstract.html)

5. BrunKussStet+98.
Brunner, K., Kussinger, M., Stetter, M., and Lang, E.W. (1998).
A neural network model for the emergence of grating cells
Biological Cybernetics, 78(5):389-397.
(.de-abstract.html)

6. CaraHeeg94.
Carandini, M. and Heeger, D.J. (27. May 1994).
Summation and division by neurons in primate visual cortex
Science, 264:1333-1336.
(.gov-abstract, .ch-paper.pdf)

7. CaraRing97.
Carandini, M. and Ringach, D.L. (November 1997).
Predictions of a recurrent model of orientation selectivity
Vision Research, 37(21):3061-3071.
(.gov-abstract, .ch-paper.pdf)

8. DobbZuckCyna87.
Dobbins, A., Zucker, S.W., and Cynader, M.S. (1987).
Endstopped neurons in the visual cortex as a substrate for calculating curvature
Nature, 329:438-441.

9. DongAtic95
Dong, D.W. and Atick, J.J. (August 1995).
Statistics of natural time-varying images
Network: Computation in Neural Systems, 6(3):345-358.

10. ErwiMill99.
Erwin, E. and Miller, K.D. (1999).
The Subregion Correspondence Model of Binocular Simple Cells
The Journal of Neuroscience, 19:7212-7229.
(.org-Abstract, .org-Paper?, .org-Paper?, .edu-paper.ps.gz, .edu-paper.ps)

11. FersMill00.
Ferster, D. and Miller, K.D. (2000).
Neural mechanisms of orientation selectivity in the visual cortex
Annual Review of Neuroscience, 23:441-471.
(.gov-abstract)

12. Fiel94.
Field, D.J. (1994).
What Is the Goal of Sensory Coding?
Neural Computation, 6(4):559-601.

13. GizzKatzSchu+90
Gizzi, M.S., Katz, E., Schumer, R.A., and Movshon, J.A. (June 1990).
Selectivity for orientation and direction of motion of single neurons in cat striate and extrastriate visual cortex
Journal of Neurophysiology, 63(6):1529-1543.
(.gov-abstract)

14. HamaYamaKato97
Hamada, T., Yamashima, M., and Kato, K. (October 1997).
A ring model for spatiotemporal properties of simple cells in the visual cortex
Biological Cybernetics, 77(4):225-233.
(.gov-abstract)

15. HoyeHyvä00
Hoyer, P.O. and Hyvärinen, A. (August 2000).
Independent component analysis applied to feature extraction from colour and stereo images
Network: Computation in Neural Systems, 11(3):191-210.

16. HoyeHyvä02
Hoyer, P.O. and Hyvärinen, A. (June 2002).
A multi-layer sparse coding network learns contour coding from natural images
Vision Research, 42(12):1593-1605.

17. HyväHoye00.
Hyvärinen, A. and Hoyer, P.O. (2000).
Emergence of phase and shift invariant features by decomposition of natural images into independent features subspaces
Neural Computation, 12(7):1705-1720.

18. HyväHoye01
Hyvärinen, A. and Hoyer, P.O. (August 2001).
A two-layer sparse coding model learns simple and complex cell receptive fields and topography from natural images
Vision Research, 41(18):2413-2423.
(.gov-abstract)

19. HyväHoyeInki01
Hyvärinen, A., Hoyer, P.O., and Inki, M. (July 2001).
Topographic independent component analysis
Neural Computation, 13(7):1527-1558.
(.gov-abstract)

20. KoenVDoor90
Koenderink, J.J. and van Doorn, A.J (1990).
Receptive Field Families
Biological Cybernetics, 63:291-297.

21. KördKöni00
Körding, K.P. and König, P. (January 2000).
A learning rule for dynamic recruitment and decorrelation
Neural Networks, 13(1):1-9.
(.com-abstract, .com-paper.pdf)

22. Krüg98.
Krüger, N. (1998).
Collinearity and Parallelism are Statistically Significant Second Order Relations of Complex Cell Responses
Neural Processing Letters, 8:117-129.
(.de-paper.ps.gz)

23. LampAndeGill+01.
Lampl, I., Anderson, J.S., Gillespie, D.C., and Ferster, D. (April 2001).
Prediction of orientation selectivity from receptive field architecture in simple cells of cat visual cortex
Neuron, 30(1):263-274.
(.gov-abstract)

24. NassCoop75.
Nass, M.N. and Cooper, L.N. (1975).
A theory for the development of feature detecting cells in visual cortex
Biological Cybernetics, 19:1-18.

25. OlshFiel96
Olshausen, B.A. and Field, D.J. (13. June 1996).
Emergence of simple-cell receptive field properties by learning a sparse code for natural images
Nature, 381(6583):607-609.
(.gov-abstract)

26. OlshFiel97.
Olshausen, B.A. and Field, D.J. (1997).
Sparse coding with an overcomplete basis set: A strategy employed by V1?
Vision Research, 37:3311-3325.

27. PortSimo00
Portilla, J. and Simoncelli, E.P. (October 2000).
A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients
International Journal of Computer Vision, 49(1):49-71.
(.com-abstract.htm, .com-paper.pdf)

28. PughRingShap+00.
Pugh, M.C., Ringach, D.L., Shapley, R.M., and Shelley, M.J. (2000).
Computational modeling of orientation tuning dynamics in monkey primary visual cortex
The Journal of Computational Neuroscience, 8(2):143-159.
(.gov-abstract)

29. ShouIntrCoop97.
Shouval, H., Intrator, N., and Cooper, L.N. (1997).
BCM Network develops Orientation Selectivity and Ocular Dominance in Natural Scene Environment
Vision Research, 37(23):3339-3342.
(.edu-paper.ps.Z)

30. ShouIntrLaw+96
Shouval, H., Intrator, N., Law, C.C., and Cooper, L.N. (July 1996).
Effect of Binocular Cortical Misalignment on Ocular Dominance and Orientation Selectivity
Neural Computation, 8(5):1021-1040.
(.edu-paper.ps.Z, .edu-paper.ps.Z)

31. SimoOlsh01
Simoncelli, E.P. and Olshausen, B.A. (2001).
Natural image statistics and neural representation
Annual Review of Neuroscience, 24:1193-1216.

32. StewPink91
Stewart, A.L. and Pinkham, R. (1991).
A space-variant differential operator for visual sensitivity
Biological Cybernetics, 64:373-379.

33. Ston96
Stone, J.V. (1. October 1996).
Learning Perceptually Salient Visual Parameters Using Spatiotemporal Smoothness Constraints
Neural Computation, 8(7):1463-1492.
(.uk-paper.ps.gz)

34. SzatLöri01
Szatmáry, B. and Lörincz, A. (2001).
Independent component analysis of temporal sequences subject to constraints by lateral geniculate nucleus inputs yields all the three major cell types of the primary visual cortex
The Journal of Computational Neuroscience, 11(3):241-248.
(.gov-abstract)

35. VHateVDScha98.
van Hateren, J.H. and van der Schaaf, A. (1998).
Independent component filters of natural images compared with simple cells in primary visual cortex
Proceedings of the Royal Society of London, Series B, 265:359-366.

36. VidyPeiVolg96
Vidyasagar, T.R., Pei, X., and Volgushev, M. (July 1996).
Multiple mechanisms underlying the orientation selectivity of visual cortical neurones
Trends in Neuroscience, 19(7):272-277.
(.gov-abstract)

37. VolgVidyPei96.
Volgushev, M., Vidyasagar, T.R., and Pei, X. (1. November 1996).
A linear model fails to predict orientation selectivity of cells in the cat visual cortex
The Journal of Physiology, 496(Pt 3):597-606.
(.gov-abstract)

38. West03.
Westheimer, G. (2003).
The distribution of preferred orientations in the peripheral visual field
Vision Research, 43(1):53-57.

39. YuilKammCohe89
Yuille, A.L., Kammen, D.M., and Cohen, D.S. (1989).
Quadrature and the development of orientation selective cortical cells by Hebb rules
Biological Cybernetics, 61(3):183-194.

Author Index

73 authors, 19 (26%) with homepage. First author references are printed boldface.

Country, City Author R A P Reference Keys
Anderson, J. S. - - - LampAndeGill+01.a
Atick, Joseph J. - - - DongAtic95
Bauer, Ute - - - BaueSchoLevi+99.ap
Bell, Anthony J. 95 95 95 BellSejn97ap
Bienenstock, Elie L. 77 94 95 BienCoopMunr82A
Bradley, A. - - - BradSkotOhza+85.a
Brunner, K. - - - BrunKussStet+98.a
Switzerland, Zurich Carandini, Matteo 96 - 96 CaraHeeg94.ap CaraRing97.ap
Cohen, D. S. - - - YuilKammCohe89
USA, RI, Providence Cooper, Leon N. 94 - - NassCoop75. BienCoopMunr82A ShouIntrLaw+96p ShouIntrCoop97.p
Cynader, M. S. - - - DobbZuckCyna87.
Dobbins, A. - - - DobbZuckCyna87.
Dong, Dawei W. - - - DongAtic95
Erwin, Ed - - - ErwiMill99.AP?p
USA, IL, Evanston Ferster, David - - - FersMill00.a LampAndeGill+01.a
Field, David J. - - - Fiel94. OlshFiel96a OlshFiel97.
USA, CA, Berkeley Freeman, Ralph D. - - - BradSkotOhza+85.a
Gillespie, D. C. - - - LampAndeGill+01.a
Gizzi, M. S. - - - GizzKatzSchu+90a
Hamada, Takashi - - - HamaYamaKato97a
Heeger, David J. - - - CaraHeeg94.ap
Hoyer, Patrik O. - - - HoyeHyvä00 HyväHoye00. HyväHoye01a HyväHoyeInki01a HoyeHyvä02
Hyvärinen, Aapo 96 96 96 HoyeHyvä00 HyväHoye00. HyväHoye01a HyväHoyeInki01a HoyeHyvä02
Inki, Mika - - - HyväHoyeInki01a
Intrator, Nathan 92 - 92 ShouIntrLaw+96p ShouIntrCoop97.p
Kammen, Daniel M. - - - YuilKammCohe89
Kato, Kazunori - - - HamaYamaKato97a
Katz, E. - - - GizzKatzSchu+90a
Koenderink, J. J. - - - KoenVDoor90
EUR, D, Osnabrück König, Peter 86 - 91 KördKöni00ap
EUR, UK, London Körding, Konrad P. 98 - 98 KördKöni00ap
Krüger, Norbert 95 - 95 Krüg98.p
Kussinger, M. - - - BrunKussStet+98.a
Lampl, I. - - - LampAndeGill+01.a
Lang, Elmar Wolfgang 77 - - BrunKussStet+98.a
Law, C. Charles - - - ShouIntrLaw+96p
Levitt, Jonathon B. - - - BaueSchoLevi+99.ap
EUR, H, Budapest Lörincz, András 93 93 93 SzatLöri01a
Lund, J. S. - - - BaueSchoLevi+99.ap
Miller, Kenneth D. 89 - 89 ErwiMill99.AP?p FersMill00.a
Movshon, J. Anthony - - - GizzKatzSchu+90a
Munro, Paul W. - - - BienCoopMunr82A
Nass, M. N. - - - NassCoop75.
Obermayer, Klaus 87 92 92 BaueSchoLevi+99.ap
Japan, Osaka Ohzawa, Izumi 82 82 82 BradSkotOhza+85.a
Olshausen, Bruno A. 91 91 95 OlshFiel96a OlshFiel97. SimoOlsh01
Pei, X. - - - VidyPeiVolg96a VolgVidyPei96.a
Pinkham, Roger - - - StewPink91
Portilla, Javier - - - PortSimo00ap
Pugh, M. C. - - - PughRingShap+00.a
USA, CA, Los Angeles Ringach, Dario L. 97 - - CaraRing97.ap PughRingShap+00.a
Scholz, M. - - - BaueSchoLevi+99.ap
Schumer, R. A. - - - GizzKatzSchu+90a
Sclar, G. - - - BradSkotOhza+85.a
Sejnowski, Terrence J. 69 93 93 BellSejn97ap
Shapley, R. M. - - - PughRingShap+00.a
Shelley, M. J. - - - PughRingShap+00.a
Shouval, Harel - - - ShouIntrLaw+96p ShouIntrCoop97.p
Simoncelli, Eero P. - - - PortSimo00ap SimoOlsh01
Skottun, B. C. - - - BradSkotOhza+85.a
Stetter, M. - - - BrunKussStet+98.a
Stewart, Alan L. - - - StewPink91
EUR, UK, Sheffield Stone, James Verne 88 90 95 Ston96p
Szatmáry, Botond - - - SzatLöri01a
van der Schaaf, Arjen - - - VHateVDScha98.
van Doorn, A. J - - - KoenVDoor90
EUR, NL, Groningen van Hateren, J. Hans 94 84 96 VHateVDScha98.
Vidyasagar, T. R. - - - VidyPeiVolg96a VolgVidyPei96.a
Volgushev, M. - - - VidyPeiVolg96a VolgVidyPei96.a
Westheimer, G. - - - West03.
Yamashima, Masaki - - - HamaYamaKato97a
Yuille, Alan L. - - - YuilKammCohe89
Zucker, Steven W. - - - DobbZuckCyna87.

Year Index

1975 NassCoop75.
:
1982 BienCoopMunr82A
:
1985 BradSkotOhza+85.a
:
1987 DobbZuckCyna87.
:
1989 YuilKammCohe89
1990 GizzKatzSchu+90a KoenVDoor90
1991 StewPink91
:
1994 CaraHeeg94.ap Fiel94.
1995 DongAtic95
1996 OlshFiel96a ShouIntrLaw+96p Ston96p VidyPeiVolg96a VolgVidyPei96.a
1997 BellSejn97ap CaraRing97.ap HamaYamaKato97a OlshFiel97. ShouIntrCoop97.p
1998 BrunKussStet+98.a Krüg98.p VHateVDScha98.
1999 BaueSchoLevi+99.ap ErwiMill99.AP?p
2000 FersMill00.a HoyeHyvä00 HyväHoye00. KördKöni00ap PortSimo00ap PughRingShap+00.a
2001 HyväHoye01a HyväHoyeInki01a LampAndeGill+01.a SimoOlsh01 SzatLöri01a
2002 HoyeHyvä02
2003 West03.
:

Journal Index

The numbers in the columns `R', `A', and `P' indicate the year from which on you can expect to find online references, abstracts, and papers, respectively. A '?' indicates documents, that may be accessible only to subscribers.

18 journals, 17 (94%) with homepage.

Publisher Journal R A P Reference Keys
Ann. Rev. Ann. Rev. Neurosci. 84 96 97? FersMill00.a SimoOlsh01
Springer Biol. Cybern. 94 94 96? NassCoop75. YuilKammCohe89 KoenVDoor90 StewPink91 HamaYamaKato97a BrunKussStet+98.a
Kluwer Int'l J. Comp. Vis. 95 ? ? PortSimo00ap
Kluwer J. Comp. Neurosci. 97 97 97? PughRingShap+00.a SzatLöri01a
Am. Physiol. Soc. J. Neurophysiol. 97 97? 97? GizzKatzSchu+90a
SFN J. Neurosci. 81 81 96? BienCoopMunr82A ErwiMill99.AP?p
OSA J. Optical Soc. America A 95 - 95? BradSkotOhza+85.a
J. Physiol. VolgVidyPei96.a
Nature Nature ? ? ? DobbZuckCyna87. OlshFiel96a
IOP Netw.: ... 90 - - DongAtic95 HoyeHyvä00
MIT Neur. Comp. 95 95 99? Fiel94. ShouIntrLaw+96p Ston96p HyväHoye00. HyväHoyeInki01a
Elsevier Neur. Netw. - - - KördKöni00ap
Kluwer Neur. Process. Lett. 96 96? 97? Krüg98.p
Neuron 88 88? 96? LampAndeGill+01.a
Roy. Soc. Proc. Roy. Soc. Lond. B 97 98 98? VHateVDScha98.
Science Sci. 95 95? 96? CaraHeeg94.ap
Elsevier Trends Neurosci. 95 - - VidyPeiVolg96a
Elsevier Vis. Res. 95 - - BellSejn97ap CaraRing97.ap OlshFiel97. ShouIntrCoop97.p BaueSchoLevi+99.ap HyväHoye01a HoyeHyvä02 West03.

Sun Jan 2 12:03:39 2011, Laurenz Wiskott, http://www.neuroinformatik.ruhr-uni-bochum.de/PEOPLE/wiskott/