Scope: This bibliography contains references to computational models of cortical map formation, such as topographic maps, ocular dominance, orientation columns, and somatosensory maps. Papers in this bibliography either explicitely refer to cortical structures or they contain relevant theoretical considerations. This bibliography does not include theoretical papers of a more general scope and the many application oriented papers on map formation.

Support level: High - 1999. This bibliography is well supported, i.e. pretty complete I think, till the year 1999.

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).

Search engine: This bibliography is also included in The Karlsruhe Collection of Computer Science Bibliographies. You can use its search engine to search through this bibliography.

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

Related Resources

• Bibliography Cortical and Artificial Neural Maps (a superset of this bilbiography)
• Bibliography Cortical Map Analysis
• Bibliography Artificial Neural Maps
• The Karlsruhe Collection of Computer Science Bibliographies: queries retinotop*, ocular dominance, orientation columns

References

1. AdorBarnÉrdi+99.

Adorján, P., Barna, G., Érdi, P., and Obermayer, K. (1999).
A statistical neural field approach to orientation selectivity
Neurocomputing, 26-27:477-482.
(.de-abstract.html, .de-paper.ps.gz)

2. AdorLeviLund+99.

Adorján, P., Levitt, J.B., Lund, J.S., and Obermayer, K. (1999).
A model for the intracortical origin of orientation preference and tuning in macaque striate cortex
Visual Neuroscience, 16:303-318.
(.de-abstract.html, .de-paper.ps.gz)

3. Amar80

Amari, S.I. (1980).
Topographic organization of nerve fields
Bulletin of Mathematical Biology, 42:339-364.

4. Amar83

Amari, S.I. (1983).
Field theory of self-organizing neural nets
IEEE Transactions on Systems, Machines and Communication, 13(5):741-748.
(analyzed in Zhan91)

5. AmarTake79

Amari, S.I. and Takeuchi, A. (1979).
Theory of self-organizing nerve nets
Transactions of the Institute of Electronics and Communication Engineers of Japan, Section E, E62(12):896-897.

6. AndrMorá96

Andrade, M.A. and Morán, F. (1996).
Structural study of the development of ocularity domains using a neural network model
Biological Cybernetics, 74(3):243-254.
(based on HäusVDMals83)
(.com-Abstract)

7. AndrMorá97.

Andrade, M.A. and Morán, F. (August 1997).
Receptive field map development by anti-Hebbian learning
Neural Networks, 10(6):1037-1052.

8. BarrBrayBudd96

Barrow, H.G., Bray, A.J., and Budd, J.M.L. (1996).
A Self-Organizing Model of ``Color Blob'' Formation
Neural Computation, 8(7):1427-1448.

9. Baue95

Bauer, H.U. (1995).
Development of oriented ocular dominance bands as a consequence of areal geometry
Neural Computation, 7(1):36-50.

10. BaueBrocGeis97

Bauer, H.U., Brockmann, D., and Geisel, T. (1997).
Analysis of ocular dominance pattern formation in a high-dimensional self-organizing-map model
Network: Computation in Neural Systems, 8(1):17-33.
(.de-paper.ps)

11. BaueRiesGeis96

Bauer, H.U., Riesenhuber, M., and Geisel, T. (1996).
Phase diagrams of self-organizing maps
Physical Review E, 54(3):2807-2810.
(short version of RiesBaueGeis96)

12. 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.
(focusses on a single ouput neuron but also includes a short section on orientation column formation and an analysis of VDMals73)
(.org-Abstract)

13. CottFort86

Cottrell, M. and Fort, J.C. (1986).
A stochastic model of retinotopy: A self organizing process
Biological Cybernetics, 53:405-411.

14. Daya93

Dayan, P.S. (1993).
Arbitrary elastic topologies and ocular dominance
Neural Computation, 5(3):392-401.

15. DurbMitc90

Durbin, R. and Mitchison, G. (1990).
A dimension reduction framework for understanding cortical maps
Nature, 343:644-647.

16. ElliHowaShad96a.

Elliott, T., Howarth, C.I., and Shadbolt, N.R. (1996 a).
Axonal proceeses and neural plasticity. I: Ocular dominance columns
Cerebral Cortex, 6(6):781-788.
(.org-Abstract)

17. ElliHowaShad96b.

Elliott, T., Howarth, C.I., and Shadbolt, N.R. (1996 b).
Axonal proceeses and neural plasticity. II: Adult somatosensory maps
Cerebral Cortex, 6(6):789-793.
(.org-Abstract)

18. ElliHowaShad96c

Elliott, T., Howarth, C.I., and Shadbolt, N.R. (1996 c).
Neural competition and statistical mechanics
Proceedings of the Royal Society of London, Series B, 263(1370):601-606.

19. ElliHowaShad97

Elliott, T., Howarth, C.I., and Shadbolt, N.R. (1997).
Axonal proceeses and neural plasticity. III: Competition for dendrites
Philosophical Transactions of the Royal Society of London, Series B, 352(1364):1975-1983.

20. ElliHowaShad98

Elliott, T., Howarth, C.I., and Shadbolt, N.R. (1998).
Axonal Processes and Neural Plasticity: A Reply
Neural Computation, 10(3):549-554.
(reply to Mill98)

21. ÉrdiBarn84

Érdi, P. and Barna, G. (1984).
Self-Organizing Mechanism for the Formation of Ordered Neural Mappings
Biological Cybernetics, 51(2):93-101.

22. ErnsPaweTsod+99

Ernst, U., Pawelzik, K.R., Tsodyks, M.V., and Sejnowski, T.J. (15. February 1999).
Relation Between Retinotopical and Orientation Maps in Visual Cortex
Neural Computation, 11(2):375-379.

23. ErwiMill98.

Erwin, E. and Miller, K.D. (1. December 1998).
Correlation-Based Development of Ocularly-Matched Orientation and Ocular Dominance Maps: Determination of Required Input Activities
The Journal of Neuroscience, 18(23):9870-9895.
(.org-Abstract, .org-Paper?, .org-Paper?, .edu-paper.ps.gz, .edu-paper.ps)

24. ErwiOberSchu95

Erwin, E., Obermayer, K., and Schulten, K.J. (1995).
Models of orientation and ocular dominance columns in the visual cortex: A critical comparison
Neural Computation, 7(3):425-468.
(.de-abstract.html, .edu-text.ps, .de-text.ps.gz, .edu-figures.ps.Z, .de-figures.ps.gz)

25. Feng95.

Feng, J. (1995).
Establishment of topological maps - a model study
Neural Processing Letters, 2:1-4.

26. FengPanRoyc96

Feng, J., Pan, H., and Roychowdhury, V.P. (1996).
On neurodynamics with limiter function and Linsker's developmental model
Neural Computation, 8(5):1003-1019.
(analysis of Lins86a-Lins86c)

27. FengPanRoyc97.

Feng, J., Pan, H., and Roychowdhury, V.P. (June 1997).
A rigorous analysis of Linsker's unsupervised Hebbian learning
Neural Networks, 10(4):705-720.
(analysis of Lins86a-Lins86c)

28. FengTiro97

Feng, J. and Tirozzi, B. (November 1997).
An Analysis on Neural Dynamics with Saturated Sigmoidal Functions
Computers and Mathematics with Applications, 34(10):71-99.

29. Gier81

Gierer, A. (1981).
Development of Projections Between Areas of the Nervous System
Biological Cybernetics, 42(1):69-78.

30. Gier83

Gierer, A. (1983).
Model for the retino-tectal projection
Proceedings of the Royal Society of London, Series B, 218(1210):77-93.

31. Good93

Goodhill, G.J. (1993).
Topography and ocular dominance: a model exploring positive correlations
Biological Cybernetics, 69(2):109-118.
(.edu-paper.ps.Z, .edu-paper.ps.Z)

32. GoodBarr94

Goodhill, G.J. and Barrow, H.G. (1994).
The role of weight normalization in competitive learning
Neural Computation, 6(2):255-269.
(.edu-paper.ps.Z, .edu-paper.ps.Z)

33. GoodLöwe95

Goodhill, G.J. and Löwel, S. (1995).
Theory meets experiment: correlated neural activity helps determine ocular dominance column periodicity
Trends in Neuroscience, 18(10):437-439.

34. GoodRich99.

Goodhill, G.J. and Richards, L.J. (December 1999).
Retinotectal Maps: Molecules, Models, and Misplaced Data
Trends in Neuroscience, 22:529-534.
(.edu-paper.ps.gz)

35. GoodSejn97

Goodhill, G.J. and Sejnowski, T.J. (August 1997).
A unifying objective function for topographic mappings
Neural Computation, 9(6):1291-1304.
(.org-Abstract, .org-Paper?)

36. GoodWill90

Goodhill, G.J. and Willshaw, D.J. (1990).
Application of the elastic net algorithm to the formation of ocular dominance
Network: Computation in Neural Systems, 1(1):41-59.

37. GoodWill94

Goodhill, G.J. and Willshaw, D.J. (1994).
Elastic net model of ocular dominance: Overall stripe pattern and monocular deprivation
Neural Computation, 6(4):615-621.
(.edu-paper.ps.Z, .edu-paper.ps.Z, .uk-paper.ps.gz)

38. GoodCohe69.

Goodwin, B.C. and Cohen, M.H. (October 1969).
A phase-shift model for the spatial and temporal organization of developing systems
Journal of Theoretical Biology, 25(1):49-107.

39. GrosOlso94

Grossberg, S. and Olson, S.J. (1994).
Rules for the cortical map of ocular dominance and orientation columns
Neural Networks, 7(6-7):883-894.

40. HäusVDMals83

Häussler, A.F. and von der Malsburg, C. (1983).
Development of retinotopic projections: An analytical treatment
J. Theoretical Neurobiology, 2:47-73.
(extensions and numerical simulations in AndrMorá96)
(.de-paper.ps.gz)

41. HopeHammGaze76

Hope, R.A., Hammond, B.J., and Gaze, R.M. (1976).
The arrow model: Retinotectal specificity and map formation in the goldfish visual system
Proceedings of the Royal Society of London, Series B, 194(1117):447-466.

42. InawTamoMiya+97

Inawashiro, S., Tamori, Y., Miyake, S., and Kuroiwa, J. (1997).
Hamiltonian formalism for self-organization of formal neurons
Journal of Physics A: Mathematical and General, 29(23):7389-7399.

43. JoneVSluyMurp88.

Jones, D.G., van Sluyters, R.C., and Murphy, K.M. (1988).
A computational model for the overall pattern of ocular dominance in striate cortex of the cat and monkey
Invest. Ophtalmol. Vis. Sci., 29:297.
(.org-abstract)

44. JoneVSluyMurp91

Jones, D.G., van Sluyters, R.C., and Murphy, K.M. (1991).
A computational model for the overall pattern of ocular dominance
The Journal of Neuroscience, 11:3794-3808.
(.org-Abstract)

45. KammYuil88

Kammen, D.M. and Yuille, A.L. (1988).
Spontaneous symmetry-breaking energy functions and the emergence of orientation selective cortical cells
Biological Cybernetics, 59(1):23-31.

46. Koho93

Kohonen, T. (1993).
Physiological interpretation of the self-organizing map algorithm
Neural Networks, 6(7):895-905.

47. KuroInawMiya+00.

Kuroiwa, J., Inawashiro, S., Miyake, S., and Aso, H. (2000).
Self-organization of orientation maps in a formal neuron model using a cluster learning rule
Neural Networks, 13(1).

48. Lins86a

Linsker, R. (1986 a).
From basic network principles to neural architecture: Emergence of spatio-opponent cells
Proceedings of the National Academy of Sciences of the United States of America, 83:7508-7512.
(analyzed in FengPanRoyc96 and MKayMill90a)

49. Lins86b

Linsker, R. (1986 b).
From basic network principles to neural architecture: Emergence of orietation-selective cells
Proceedings of the National Academy of Sciences of the United States of America, 83:8390-8394.
(analyzed in FengPanRoyc96 and MKayMill90a)

50. Lins86c

Linsker, R. (1986 c).
From basic network principles to neural architecture: Emergence of orientation columns
Proceedings of the National Academy of Sciences of the United States of America, 83:8779-8783.
(analyzed in FengPanRoyc96 and MKayMill90a)

51. Lins88

Linsker, R. (1988).
Self-organization in a perceptual network
Computer, 21(3):105-117.

52. Lins90

Linsker, R. (1990).
Perceptual neural organization: some approaches based on network models and information theory
Annual Review of Neuroscience, 13:257-281.

53. MKayMill90a

MacKay, D.J.C. and Miller, K.D. (1990 a).
Analysis of Linsker's simulations of Hebbian Rules
Neural Computation, 2:173-187.
(analysis of Lins86a-Lins86c)

54. MKayMill90b:

MacKay, D.J.C. and Miller, K.D. (1990 b).
Analysis of Linsker's simulations of Hebbian Rules to Linear Networks
Network: Computation in Neural Systems, 1(3):257-297.
(analysis of Lins86a-Lins86c)
(.edu-text.ps.gz, .edu-text.ps, .edu-figures.tar)

55. Mill90

Miller, K.D. (1990).
Derivation of linear Hebbian equations from a nonlinear Hebbian model of synaptic plasticity
Neural Computation, 2:321-333.
(.edu-paper.ps.gz, .edu-paper.ps)

56. Mill92

Miller, K.D. (1992).
Development of orientation columns via competition between ON- and OFF-center inputs
NeuroReport, 3:73-76.

57. Mill94

Miller, K.D. (1994).
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 inputs
The Journal of Neuroscience, 14:409-441.
(.org-Abstract, .edu-text.ps.gz, .edu-text.ps, .edu-figures.tar, .edu-figures.tar)

58. Mill96.

Miller, K.D. (September 1996).
Synaptic economics: Competition and cooperation in synaptic plasticity
Neuron, 17(3):371-374.

59. Mill98

Miller, K.D. (1998).
Equivalence of a Sprouting-and-Retraction Model of Neural Development and Correlation-Based Rules with Subtractive Constraints
Neural Computation, 10(3):529-547.
(compares models like in MillKellStry89 with models like in ElliHowaShad96a, reply is given in ElliHowaShad98)
(.edu-paper.ps.gz, .edu-paper.ps)

60. MillErwiKays99.

Miller, K.D., Erwin, E., and Kayser, A. (1999).
Is the Development of Orientation Selectivity Instructed by Activity?
Journal of Neurobiology, 41:44-57.
(.com-Abstract?, .edu-paper.ps.gz)

61. MillKellStry89

Miller, K.D., Keller, J.B., and Stryker, M.P. (1989).
Ocular dominance column development: Analysis and simulation
Science, 245(4918):605-615.

62. MillMKay94

Miller, K.D. and MacKay, D.J.C. (1994).
The role of constraints in Hebbian learning
Neural Computation, 6(1):100-126.
(.uk-abstract.html, .edu-paper.ps.gz, .edu-paper.ps, .uk-paper.ps.gz)

63. MiyaTana92

Miyashita, M. and Tanaka, S. (1992).
A mathematical model for the self-organization of orientation columns in visual cortex
NeuroReport, 3:69-72.

64. MontGallEdel91

Montague, P.R., Gally, J.A., and Edelman, G.M. (1991).
Spatial Signaling in the Development and Function of Neural Connections
Cerebral Cortex, 1(3):199-220.

65. Ober95:

Obermayer, K. (1995).
Mathematical theories of neural development.
Futura, 10:72-87.

66. OberBlas97

Obermayer, K. and Blasdel, G.G. (1997).
Singularities in primate orientation maps
Neural Computation, 9(3):555-575.
(.de-abstract.html, .de-paper.ps.gz)

67. OberBlasSchu92

Obermayer, K., Blasdel, G.G., and Schulten, K.J. (1992).
A statistical-mechanical analysis of self-organization and pattern formation during the development of visual maps
Physical Review A, 45(10):7568-7589.

68. OberRittSchu90a

Obermayer, K., Ritter, H., and Schulten, K.J. (1990 a).
Large-scale simulations of selforganizing neural networks on parallel computers: Application to biological modelling
Parallel Computing, 14:381-404.

69. OberRittSchu90b

Obermayer, K., Ritter, H., and Schulten, K.J. (1990 b).
A principle for the formation of the spatial structure of cortical feature maps
Proceedings of the National Academy of Sciences of the United States of America, 87:8345-8349.

70. OberRittSchu92

Obermayer, K., Ritter, H., and Schulten, K.J. (1992).
A model for the development of the spatial structure of retinotopic maps and orientation columns
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (A), E75-A(5):537-545.

71. OberSejnBlas95

Obermayer, K., Sejnowski, T.J., and Blasdel, G.G. (1995).
Neural pattern formation via a competitive hebbian mechanism
Behavioural Brain Research, 66(1/2):161-167.

72. OverArbi82

Overton, K.J. and Arbib, M.A. (1982).
The extended branch-arrow model of the formation of retino-tectal connections
Biological Cybernetics, 45(3):157-175.

73. PiepOber99.

Piepenbrock, C. and Obermayer, K. (1999).
Effects of lateral competition in the primary visual cortex on the development of topographic projections and ocular dominance maps
Neurocomputing, 26-27:313-318.
(.de-abstract.html, .de-paper.ps.gz)

74. PiepRittOber96

Piepenbrock, C., Ritter, H., and Obermayer, K. (1996).
Linear correlation-based learning models require a two-stage process for the development of orientation and ocular dominance
Neural Processing Letters, 3(1):31-37.
(.de-abstract.html, .de-paper.ps.gz)

75. PiepRittOber97

Piepenbrock, C., Ritter, H., and Obermayer, K. (1997).
The joint development of orientation and ocular dominance: Role of constraints
Neural Computation, 9(5):959-970.
(.de-abstract.html, .de-paper.ps.gz)

76. PresWill75

Prestige, M.C. and Willshaw, D.J. (1975).
On a role for competition in the formation of patterned neural connections
Philosophical Transactions of the Royal Society of London, Series B, 190:77-98.

77. RiesBaueBroc+98

Riesenhuber, M., Bauer, H.U., Brockmann, D., and Geisel, T. (1998).
Breaking rotational symmetry in a self-organizing map model for orientation map development
Neural Computation, 10(3):717-730.

78. RiesBaueGeis96

Riesenhuber, M., Bauer, H.U., and Geisel, T. (1996).
Analyzing phase transitions in high-dimensional self-organizing maps
Biological Cybernetics, 75(5):397-407.
(long version of BaueRiesGeis96)
(.com-Abstract, .com-Paper.pdf?)

79. RuccTonoEdel97

Rucci, M., Tononi, G., and Edelman, G.M. (1997).
Registration of neural maps through value-dependent learning: Modeling the alignment of auditory and visual maps in the barn owl' optic tectum
The Journal of Neuroscience, 17(1):334-352.
(.org-Abstract, .org-Paper?, .org-Paper?)

80. ShouCoop96

Shouval, H. and Cooper, L.N. (1996).
Organization of receptive fields in networks with Hebbian learning: The connection between synaptic and phenomenological models
Biological Cybernetics, 74(5):439-447.
(.com-Abstract, .edu-paper.ps.Z)

81. SiroMiik94

Sirosh, J. and Miikkulainen, R. (1994).
Cooperative self-organization of afferent and lateral connections in cortical maps
Biological Cybernetics, 71(1):65-78.
(.com-Abstract, .edu-paper.tar)

82. SiroMiik96.

Sirosh, J. and Miikkulainen, R. (1996).
Self-Organization and Functional Role of Lateral Connections and Multisize Receptive Fields in the Primary Visual Cortex
Neural Processing Letters, 3:39-48.
(.edu-paper.ps.Z)

83. SiroMiik97

Sirosh, J. and Miikkulainen, R. (1997).
Topographic receptive fields and patterned lateral interaction in a self-organizing model of the primary visual cortex
Neural Computation, 9(3):577-594.
(.edu-paper.ps.Z)

84. SomoAndaSzék+98

Somogyvári, Z., Andai, A., Székely, G., and Érdi, P. (1998).
On the role of self-excitation in the development of topographic order in the visual system of the frog
BioSystems, 48:215-222.

85. StetLangMüll93

Stetter, M., Lang, E.W., and Müller, A. (1993).
Emergence of orientation selective simple cells simulated in deterministic and stochastic neural networks
Biological Cybernetics, 68:465-476.

86. StetLangOber98.

Stetter, M., Lang, E.W., and Obermayer, K. (1998).
Unspecific long-term potentiation can evoke functional segregation in a model of area 17
NeuroReport, 9:2697-2702.
(.de-abstract.html, .de-paper.ps.gz)

87. StetMüllLang94

Stetter, M., Müller, A., and Lang, E.W. (1994).
Neural network model for the coordinated formation of orientation preference- and orientation selectivity maps
Physical Review E, 50(5):4167-4181.

88. Swin80

Swindale, N.V. (1980).
A model for the formation of ocular dominance stripes
Proceedings of the Royal Society of London, Series B, 208:243-264.

89. Swin82

Swindale, N.V. (1982).
A model for the formation of orientation columns
Proceedings of the Royal Society of London, Series B, 215:211-230.

90. Swin92

Swindale, N.V. (1992).
A model for the coordinated development of columnar systems in primate striate cortex
Biological Cybernetics, 66:217-230.

91. Swin96

Swindale, N.V. (1996).
The development of topography in the visual cortex: A review of models
Network: Computation in Neural Systems, 7(2):161-247.

92. TakeAmar79

Takeuchi, A. and Amari, S.I. (1979).
Formation of topographic maps and columnar microstructures in nerve fields
Biological Cybernetics, 35:63-72.
(analyzed in Zhan91)

93. Tana90

Tanaka, S. (1990).
Theory of self-organization of cortical maps: mathematical framework
Neural Networks, 3:625-640.

94. Tana91a

Tanaka, S. (1991 a).
Theory of ocular dominance column formation. Mathematical basis and computer simulation
Biological Cybernetics, 64(4):263-272.

95. Tana91b

Tanaka, S. (1991 b).
Phase transition theory for abnormal ocular dominance column formation
Biological Cybernetics, 65(2):91-98.

96. Tana97.

Tanaka, S. (1997).
Topology of visual cortical maps
FORMA, 12:101-106.

97. TanaShin94

Tanaka, S. and Shinbata, H. (1994).
Mathematical model for self-organization of direction columns in the primate middle temporal area
Biological Cybernetics, 70(3):227-234.
(.com-Abstract)

98. Troy96

Troyer, T.W. (March 1996).
Feedforward Hebbian learning with nonlinear output units: A Lyapunov approach
Neural Networks, 9(2):321-328.

99. TroyKrukPrie+98.

Troyer, T.W., Krukowski, A.E., Priebe, N.J., and Miller, K.D. (1. August 1998).
Contrast-Invariant Orientation Tuning in Visual Cortex: Feedforward Tuning and Correlation-Based Intracortical Connectivity
The Journal of Neuroscience, 18(15):5908-5927.
(reference, .org-Abstract, .edu-text.ps.gz, .edu-text.ps, .edu-figures.ps.gz, .edu-figures.ps, .edu-figures.ps.gz, .edu-figures.ps, .org-Paper?, .org-Paper?, .edu-paper.ps)

100. VDMals73

von der Malsburg, C. (1973).
Self-organization of orientation sensitive cells in the striate cortex
Kybernetik, 14:85-100.
(briefly analyzed in BienCoopMunr82)

101. VDMals79

von der Malsburg, C. (1979).
Development of ocularity domains and growth behaviour of axon terminals
Biological Cybernetics, 32:49-62.
(.de-paper.ps.gz)

102. VDMalsCowa82

von der Malsburg, C. and Cowan, J.D. (1982).
Outline of a theory for the ontogenesis of iso-orientation domains in visual cortex
Biological Cybernetics, 45:49-56.

103. VDMalsWill76.

von der Malsburg, C. and Willshaw, D.J. (1976).
A Mechanism for Producing Continuous Neural Mappings: Ocularity Dominance Stripes and Ordered Retino-Tectal Projections
Experimental Brain Research, 1(supplement):463-469.

104. VDMalsWill77

von der Malsburg, C. and Willshaw, D.J. (1977).
How to label nerve cells so that they can interconnect in an ordered fashion
Proceedings of the National Academy of Sciences of the United States of America, 74(11):5176-5178.

105. VDMalsWill81

von der Malsburg, C. and Willshaw, D.J. (1981).
Differential equations for the development of topographical nerve fibre projections
SIAM-AMS Proceedings, 13:39-47.
(considers the effect of different growth rules under multiplicative constraints for a single neuron)

106. WebeRittCowa+97

Weber, C., Ritter, H., Cowan, J.D., and Obermayer, K. (1997).
Development and regeneration of the retinotectal map in goldfish: A computational study
Philosophical Transactions of the Royal Society of London, Series B, 352(1361):1603-1623.
(.de-abstract.html, .de-figures, .de-paper.ps.gz)

107. WhitCowa81

Whitelaw, V.A. and Cowan, J.D. (1981).
Specificity and plasticity of retinotectal connections: A computational model
The Journal of Neuroscience, 1(12):1369-1387.
(.org-Abstract)

108. WillVDMals76

Willshaw, D.J. and von der Malsburg, C. (1976).
How patterned neural connections can be set up by self-organization
Proceedings of the Royal Society of London, Series B, 194:431-445.

109. WillVDMals79:

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A marker induction mechanism for the establishment of ordered neural mappings; its application to the retinotectal problem
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Wiskott, L. and Sejnowski, T.J. (1998).
Constrained Optimization for Neural Map Formation: A Unifying Framework for Weight Growth and Normalization
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(.org-Abstract, .de-abstract.html, .org-Paper?, .de-paper.ps.gz)

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Wolf, F., Bauer, H.U., and Geisel, T. (1994).
Formation of field discontinuities and islands in visual cortical maps
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112. WolfBauePawe+96

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113. WolfGeis98

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Spontaneous pinwheel annihilation during visual development
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114. YuilKoloLee96

Yuille, A.L., Kolodny, J.A., and Lee, C.W. (March 1996).
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115. Zhan91

Zhang, J. (1991).
Dynamics and formation of self-organizing maps
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(analysis of TakeAmar79, Amar83)

Subject Index

Year of publication:            '73'75'76     '77'79       '80    '81    '82      '83'84'86         '88'89'90      '91'92   '93'94'95      '96               '97'98       

Links to references:            100 76 41 108 104  5 92 101  3 88 105 107 12 72 89 40 21 13 48 49 50 51 61 36 68 93 44 56 90 31 62  9 24 33  6  8 11 78 91 98 10 20 59 110

Subjects:                               
  Architecture                 
    Two layers, all-to-all      100 76 -- 108 104  5 92 101  3 -- 105 107 12 72 -- 40 21 -- 48 49 50 51 61 -- 68 93 -- 56 -- 31 62 -- -- --  6  8 11 78 -- 98 10 20 59 110
    Two layers, one-to-one       -- -- 41  --  -- -- --  -- -- --  --  -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 44 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --  --
    Pointers (e.g. SOM)          -- -- --  --  -- -- --  -- -- --  --  -- -- -- -- -- -- 13 -- -- -- -- -- -- -- -- -- -- -- -- --  9 -- -- -- -- -- -- -- -- -- -- --  --
    Output layer only            -- -- --  --  -- -- --  -- -- 88  --  -- -- -- 89 -- -- -- -- -- -- -- -- -- -- -- -- -- 90 -- -- -- -- -- -- -- -- -- -- -- -- -- --  --
  Application                  
    Topographic maps             -- 76 41 108 104  5 92  --  3 --  -- 107 -- 72 -- 40 21 13 -- -- -- -- -- -- -- -- -- -- -- 31 -- -- -- --  6 -- 11 78 -- 98 -- -- --  --
    Ocular dominance             -- -- --  --  -- -- -- 101 -- 88  --  -- -- -- -- -- -- -- -- -- -- -- 61 -- -- -- 44 -- 90 31 --  9 -- 33  6 -- 11 -- -- -- 10 20 59  --
    Orientation columns         100 -- --  --  -- -- --  -- -- --  --  -- 12 -- 89 -- -- -- -- -- 50 -- -- -- -- -- -- 56 90 -- -- -- -- -- --  8 11 78 -- -- -- -- --  --
    Somatosensory maps           -- -- --  --  -- -- --  -- -- --  --  -- -- -- -- -- -- -- -- -- -- -- -- -- 68 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --  --
    Others                       -- -- --  --  -- -- --  -- -- --  --  -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --  8 -- -- -- -- -- -- --  --
  Mechanism                    
    Chemical markers             -- 76 41  -- 104 -- -- 101 -- --  -- 107 -- 72 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 20 59  --
    Neural activities           100 -- -- 108  --  5 92  --  3 --  --  -- 12 -- -- -- -- 13 48 49 50 51 61 -- 68 93 44 56 -- 31 --  9 -- --  6  8 11 78 -- 98 10 -- 59 110
  Formulation                  
    Neural dynamics             100 -- -- 108 104  5 92 101  3 --  -- 107 12 -- -- -- -- -- 48 -- -- -- -- -- -- 93 -- -- -- -- -- -- -- --  6  8 -- -- -- -- -- -- -- 110
    Neural algorithm             -- -- 41  --  -- -- --  -- -- --  --  -- -- 72 -- -- -- 13 -- -- -- -- -- -- 68 -- -- -- -- 31 --  9 -- -- -- -- 11 78 -- -- 10 -- -- 110
    Weight dynamics              -- -- --  --  -- -- --  -- -- 88 105  -- -- -- 89 40 21 -- 48 49 50 51 61 -- -- 93 -- 56 90 -- 62 -- -- -- -- -- -- -- -- -- -- -- 59 110
    Objective function           -- -- --  --  -- -- --  -- -- --  --  -- -- -- -- -- -- -- -- 49 50 51 -- -- -- 93 -- -- -- -- -- -- -- -- -- -- 11 78 -- 98 -- 20 59 110
    Spin system                  -- -- --  --  -- -- --  -- -- --  --  -- -- -- -- -- -- -- -- -- -- -- -- -- -- 93 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --  --
  Methods                      
    Computer simulations        100 76 41 108 104 -- 92 101 -- 88  -- 107 -- 72 89 -- 21 -- 48 49 50 51 61 -- 68 -- 44 56 90 31 --  9 -- --  6  8 11 78 -- -- 10 -- --  --
    Analytical consider.         -- -- --  --  --  5 92  --  3 -- 105  -- 12 -- -- 40 -- 13 -- 49 50 51 61 -- -- 93 -- -- -- -- 62  9 -- -- -- -- 11 78 -- 98 10 20 59 110
    Conceptual consider.         -- -- --  -- 104 -- --  -- -- --  --  -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 20 --  --
    Survey                       -- -- --  --  -- -- --  -- -- --  --  -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 24 33 -- -- -- -- 91 -- -- -- --  --
  Other issues                 
    Role of constraints          -- -- --  --  -- -- --  -- -- -- 105  -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- 62 -- -- -- -- -- -- -- -- -- -- -- 59 110
    Receptive field dev.         -- -- --  --  -- -- 92  -- -- --  --  -- 12 -- -- -- -- -- 48 49 -- 51 -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --  --

Author Index

105 authors, 32 (30%) with homepage. First author references are printed boldface.

Year Index

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.

39 journals, 27 (69%) with homepage.