dhr. dr. S. (Sennay) Ghebreab
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Amsterdam University College
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Science Park
113
1098 XG Amsterdam
Kamernummer: 604
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S.Ghebreab@uva.nl
2014
- K. Ramakrishnan, I. Groen, H.S. Scholte, A.W.M. Smeulders & S. Ghebreab (2014). Visual dictionaries in the Brain: Comparing HMAX and BOW. In IEEE International Conference on Multimedia \& Expo.
- K. Ramakrishnan, H.S. Scholte, I. Groen, A.W.M. Smeulders & S. Ghebreab (2014). Visual dictionaries as intermediate features in the human brain. Frontiers in Computational Neuroscience. doi: https://ivi.fnwi.uva.nl/isis/publications/2014/RamakrishnanFCN2014
- I. Groen, S. Ghebreab, V.A.F. Lamme & H.S. Scholte (2014). Neural computation of scene gist with and without attention. Journal of Vision.
- H.S. Scholte & S. Ghebreab (2014). Improving computational models of early visual cortex using single image ERP data. Journal of Vision.
2013
- I. Groen, S. Ghebreab, V.A.F. Lamme & H.S. Scholte (2013). Neural Dissimilarity of Scene Naturalness Maps Onto Low-Level Contrast Statistics. In Human Brain Mapping.
- F. Alnajar, T. Gevers, R. Valenti & S. Ghebreab (2013). Calibration-Free Gaze Estimation Using Human Gaze Patterns. In International Conference on Computer Vision.
- I. Groen, S. Ghebreab, V.A.F. Lamme & H.S. Scholte (2013). Two Stages in Scene Gist Perception. In Vision Sciences Society.
- I. Groen, S. Ghebreab, V.A.F. Lamme & H.S. Scholte (2013). Two Stages in Scene Gist Perception. In European Conference on Visual Perception.
- I.I.A. Groen, S. Ghebreab, H. Prins, V.A.F. Lamme & H.S. Scholte (2013). From image statistics to scene gist: evoked neural activity reveals transition from low-level natural image structure to scene category. Journal of Neuroscience, 33 (48), 18814-18824. doi: 10.1523/JNEUROSCI.3128-13.2013
- K. Ramakrishnan, I. Groen, S. Scholte, A. Smeulders & S. Ghebreab (2013). Visual word representation in the brain. In Proceedings of MLINI 2013.
- K. Ramakrishnan, I. Groen, H.S. Scholte, A.W.M. Smeulders & S. Ghebreab (2013). Visual Word Representation in the Brain. In NIPS Workshop on Machine Learning in Neuroimaging.
2012
- I.I.A. Groen, S. Ghebreab, V.A.F. Lamme & H.S. Scholte (2012). Spatially pooled contrast responses predict neural and perceptual similarity of naturalistic image categories. PLoS Computational Biology, 8 (10), e1002726. doi: 10.1371/journal.pcbi.1002726.g001[go to publisher's site]
- S. Ghebreab (2012). Simple Visual Regularities Predict Perceptual and Emotional Responses to Moving Pictures. In Annual World Congres of Neurotalk.
- I.I.A. Groen, S. Ghebreab, V.A.F. Lamme & H.S. Scholte (2012). Low-level contrast statistics are diagnostic of invariance of natural textures. Frontiers in Computational Neuroscience, 6, 34. doi: 10.3389/fncom.2012.00034[go to publisher's site]
- S. Bohte, H.S. Scholte & S. Ghebreab (2012). Information-Maximizing Local Spatial Scale Selection in Early Visual Processing. In NIPS Workshop on Information in Perception and Action.
- I. Groen, S. Ghebreab, V.A.F. Lamme & H.S. Scholte (2012). Man-Made or Natural? Tracking Neural Processing of Scene Gist Using Single-Trial EEG. In Society for Neuroscience.
- M. Zabihi, H.S. Scholte & S. Ghebreab (2012). Noise and Nuisance Removal from FMRI Responses to Movies. In International Conference on Neural Coding \& Natural Environment.
- I. Groen, S. Ghebreab, V.A.F. Lamme & H.S. Scholte (2012). Scene Gist Information is Processed with and Without Attention. In ASS International Conference on Consciousness.
2011
- S. Ghebreab & A.W.M. Smeulders (2011). Identifying distributed and overlapping clusters of hemodynamic synchrony in fMRI data sets. Pattern Analysis and Applications, 14 (2), 175-192. doi: 10.1007/s10044-010-0186-6[go to publisher's site]
2010
- H.S. Scholte, S. Ghebreab, A. Smeulders & V. Lamme (2010). Lateral Occipital cortex responsive to correlation structure of natural images. In Vision Sciences Society Meeting, 2010: abstracts Vol. 10/7. Journal of Vision (pp. 1363).
- H.S. Scholte, S. Ghebreab, A. Smeulders & V. Lamme (2010). Lateral Occipital cortex responsive to local correlation structure of natural images. In Conference Abstract: Computational and Systems Neuroscience 2010 Frontiers in Neuroscience.
- S. Ghebreab, H.S. Scholte, V. Lamme & A. Smeulders (2010). Rapid Natural Image Identification Based on EEG Data and Global Scene Statistics. In Vision Sciences Society Meeting, 2010: abstracts Vol. 10/7. Journal of Vision (pp. 1394).
- I. Groen, S. Ghebreab, V. Lamme & H.S. Scholte (2010). The role of Weibull image statistics in rapid object detection in natural scenes. In Vision Sciences Society Vol. 10/7. Journal of Vision (pp. 992).
2009
- S. Ghebreab, H.S. Scholte, V.A.F. Lamme & A.W.M. Smeulders (2009). A biologically plausible model for rapid natural scene identification. In Y. Bengio, D. Schuurmans, J. Lafferty, C. Williams & A. Culotta (Eds.), Advances in Neural Information Processing Systems 22: Proceedings of the 2009 conference (pp. 629-637). NIPS Foundation.
- H.S. Scholte, S. Ghebreab, L. Waldorp, A.W.M. Smeulders & V.A.F. Lamme (2009). Brain responses strongly correlate with Weibull image statistics when processing natural images. Journal of Vision, 9 (4), 29.[go to publisher's site]
Prijs
- S. Ghebreab (2010). FES COMMIT, € 285K, project title: ALAN. Recognition.
- S. Ghebreab (2010). FES COMMIT, € 285K, project title: E-BioCognition. Recognition.
Wetenschappelijke positie
- S. Ghebreab (period: 2012 till 2012). Member program committee neuroimaging Position at: KNAW.
- S. Ghebreab (period: 2010 till 2010). Samenwerking Informatics Institute Prof. dr. A.W.M. Smeulders Position at : Informatics Institute.
Spreker
- S. Ghebreab (). Natural Image Statistics, Visual Perception and the Brain. University of Groningen, The Netherlands, Lecture.
- S. Ghebreab (). Simple Visual Regularities Predict Perceptual and Emotional Responses to (Moving) Pictures. Beijng, China, Neurotalk Conference.
- S. Ghebreab (). Natural Scene statistics predict neural and perceptual similarity of naturalistic image categories. Utrecht, The Netherlands, SURF research day.
- S. Ghebreab (). Predicting human response to film from visual contents: Studies in the links between computer vision and human response systems. Tel-Aviv University, Israel, How Movies Move Us Symposium.
- S. Ghebreab (2011, October 14). Computer vision meets human vision: how semantic and emotional content in pictures and movies can be traced back in the brain. Den Haag, 2011 NeuroInformatics.NL symposium.
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Neurensics A1
Directeur