Search results
Results: 57
Number of items: 57
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Ramakrishnan, K., Groen, I., Scholte, S., Smeulders, A., & Ghebreab, S. (2013). Visual word representation in the brain. In MLINI '13: machine learning and interpretation in neuroimaging: proceedings of MLINI 2013 NIPS. https://01bd0cad-a-62cb3a1a-s-sites.googlegroups.com/site/mlininips2013/proceedings-of-mlini-2012-1/Paper%2015.pdf?attachauth=ANoY7cp4nAvjL0WGF0VhlKiNYjlsYK5Dun8QP5WroTIsnx2beAI3dKBZ6LmozcGUQznaKwYA8z1FppD-OddZf2__8Sy_ysB9R26SiZViH0zKXZAoaAICLlW_mF3pMdmL9meh5vIuQdNn5iUb5C-qreYHpMZbz8IKpx2y3LTw6vkL3GbUCXex3xPGKMHa0alD3S79ps0hJeTMPBP0mplBJ4gAIEfaDAYl0OBH3ojGGVq4SYWXR5wydJhd5EL9Vcy3sop_rzG6UVUB&attredirects=0
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Alnajar, F., Gevers, T., Valenti, R., & Ghebreab, S. (2013). Calibration-Free Gaze Estimation Using Human Gaze Patterns. In 2013 IEEE International Conference on Computer Vision: ICCV 2013 : proceedings: 1-8 December 2013, Sydney, NSW, Australia (pp. 137-144). IEEE Computer Society. https://doi.org/10.1109/ICCV.2013.24
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Groen, I. I. A., Ghebreab, S., Prins, H., Lamme, V. A. F., & Scholte, H. S. (2013). From image statistics to scene gist: evoked neural activity reveals transition from low-level natural image structure to scene category. The Journal of Neuroscience, 33(48), 18814-18824. https://doi.org/10.1523/JNEUROSCI.3128-13.2013
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Groen, I., Ghebreab, S., Lamme, V., & Scholte, H. (2013). Two stages in the time-course of natural scene gist perception. Perception, 42(Suppl. 1), 161. https://journals.sagepub.com/toc/pec/42/1_suppl
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Groen, I. I. A., Ghebreab, S., Lamme, V. A. F., & Scholte, H. S. (2012). Spatially pooled contrast responses predict neural and perceptual similarity of naturalistic image categories. PLoS Computational Biology, 8(10), Article e1002726. https://doi.org/10.1371/journal.pcbi.1002726.g001 -
Groen, I. I. A., Ghebreab, S., Lamme, V. A. F., & Scholte, H. S. (2012). Low-level contrast statistics are diagnostic of invariance of natural textures. Frontiers in Computational Neuroscience, 6, 34. Article 34. https://doi.org/10.3389/fncom.2012.00034
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Ghebreab, S., & Smeulders, A. W. M. (2011). Identifying distributed and overlapping clusters of hemodynamic synchrony in fMRI data sets. Pattern Analysis and Applications, 14(2), 175-192. https://doi.org/10.1007/s10044-010-0186-6
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Ghebreab, S., Smeulders, A. W. M., Scholte, H. S., & Lamme, V. A. F. (2010). A biologically plausible model for rapid natural scene identification. In Y. Bengio, D. Schuurmans, J. Lafferty, C. Williams, & A. Culotta (Eds.), 23rd Annual Conference on Neural Information Processing Systems 2009: December 7-10, 2009, Vancouver, B.C., Canada (Vol. 1, pp. 629-637). (Advances in Neural Information Processing Systems; Vol. 22). Curran. https://papers.nips.cc/paper/3785-a-biologically-plausible-model-for-rapid-natural-scene-identification
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Scholte, H. S., Ghebreab, S., Smeulders, A., & Lamme, V. (2010). Lateral Occipital cortex responsive to local correlation structure of natural images. Frontiers in Neuroscience, Conference abstract(Computational and Systems Neuroscience 2010). https://doi.org/10.3389/conf.fnins.2010.03.00162
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Scholte, H. S., Ghebreab, S., Waldorp, L., Smeulders, A. W. M., & Lamme, V. A. F. (2009). Brain responses strongly correlate with Weibull image statistics when processing natural images. Journal of Vision, 9(4), Article 29. https://doi.org/10.1167/9.4.29
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