Jonathan A. Marshall, PhD - Publications
Affiliations: | Well Rounded Software, Inc. |
Area:
Neural computation, neural network models visual perceptionWebsite:
http://www.cs.unc.edu/~marshall/WWW/Year | Citation | Score | |||
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2002 | Kalarickal GJ, Marshall JA. Rearrangement of receptive field topography after intracortical and peripheral stimulation: the role of plasticity in inhibitory pathways. Network (Bristol, England). 13: 1-40. PMID 11873840 DOI: 10.1080/net.13.1.1.40 | 0.686 | |||
2000 | Marshall JA, Srikanth V. Curved trajectory prediction using a self-organizing neural network. International Journal of Neural Systems. 10: 59-70. PMID 10798710 DOI: 10.1142/S0129065700000065 | 0.55 | |||
2000 | Kalarickal GJ, Marshall JA. Neural model of temporal and stochastic properties of binocular rivalry Neurocomputing. 32: 843-853. DOI: 10.1016/S0925-2312(00)00252-6 | 0.665 | |||
1999 | Kalarickal GJ, Marshall JA. Models of receptive-field dynamics in visual cortex. Visual Neuroscience. 16: 1055-81. PMID 10614587 DOI: 10.1017/S0952523899166070 | 0.684 | |||
1998 | Marshall JA, Gupta VS. Generalization and exclusive allocation of credit in unsupervised category learning. Network (Bristol, England). 9: 279-302. PMID 9861990 DOI: 10.1088/0954-898X_9_2_008 | 0.496 | |||
1996 | Marshall JA, Kalarickal GJ, Graves EB. Neural model of visual stereomatching: slant, transparency and clouds Network: Computation in Neural Systems. 7: 635-669. DOI: 10.1088/0954-898X_7_4_003 | 0.665 | |||
1995 | Marshall JA. Adaptive perceptual pattern recognition by self-organizing neural networks: Context, uncertainty, multiplicity, and scale Neural Networks. 8: 335-362. DOI: 10.1016/0893-6080(94)00099-8 | 0.364 | |||
1991 | Marshall JA. Challenges of vision theory: self-organization of neural mechanisms for stable steering of object-grouping data in visual motion perception Proceedings of Spie. 1569: 200-215. DOI: 10.1117/12.48379 | 0.386 | |||
1989 | Grossberg S, Marshall JA. Stereo boundary fusion by cortical complex cells: A system of maps, filters, and feedback networks for multiplexing distributed data Neural Networks. 2: 29-51. DOI: 10.1016/0893-6080(89)90013-0 | 0.555 | |||
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