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Results: 54
Number of items: 54
  • 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
  • Open Access
    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
  • Open Access
    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
  • Open Access
    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
  • 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
  • Open Access
    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
  • Open Access
    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
  • Ghebreab, S., Smeulders, A. W. M., & Adriaans, P. (2008). Predicting Brain States from fMRI Data: Incremental functional principal component regression. In J. C. Platt, D. Koller, Y. Singer, & S. T. Roweis (Eds.), 21st Annual Conference on Neural Information Processing Systems 2007: December 3-6, 2007, Vancouver, B.C., Canada (Advances in Neural Information Processing Systems; Vol. 20). Neural Information Processing Systems. http://papers.nips.cc/paper/3326-predicting-brain-states-from-fmri-data-incremental-functional-principal-component-regression.pdf
  • Ghebreab, S., Smeulders, A. W. M., & Adriaans, P. W. (2007). Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression. In R. Bellazzi, A. Abu-Hanna, & J. Hunter (Eds.), Proceedings of the 11th Conference on Artificial Intelligence in Medicine (AIME'07) (pp. 393-397). Springer-Verlag.
  • Ghebreab, S., Adriaans, P. W., & Smeulders, A. W. M. (2006). Incremental Clusterwise Regression Analysis of Functional Brain Stimulation-Activation Data. In Proceedings of the Twelfth International Conference of the Organization for Human Brain Mapping
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