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Seyed-Mahdi Khaligh-Razavi - Publications

Affiliations: 
Massachusetts Institute of Technology, Cambridge, MA, United States 
Area:
vision, computational neuroscience, memory, fMRI, MEG

14 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2019 Rajaei K, Mohsenzadeh Y, Ebrahimpour R, Khaligh-Razavi SM. Beyond core object recognition: Recurrent processes account for object recognition under occlusion. Plos Computational Biology. 15: e1007001. PMID 31091234 DOI: 10.1371/Journal.Pcbi.1007001  0.4
2017 Khaligh-Razavi SM, Henriksson L, Kay K, Kriegeskorte N. Fixed versus mixed RSA: Explaining visual representations by fixed and mixed feature sets from shallow and deep computational models. Journal of Mathematical Psychology. 76: 184-197. PMID 28298702 DOI: 10.1016/j.jmp.2016.10.007  1
2016 Farzmahdi A, Rajaei K, Ghodrati M, Ebrahimpour R, Khaligh-Razavi SM. A specialized face-processing model inspired by the organization of monkey face patches explains several face-specific phenomena observed in humans. Scientific Reports. 6: 25025. PMID 27113635 DOI: 10.1038/Srep25025  0.4
2016 Wardle SG, Kriegeskorte N, Grootswagers T, Khaligh-Razavi SM, Carlson TA. Perceptual similarity of visual patterns predicts dynamic neural activation patterns measured with MEG. Neuroimage. PMID 26899210 DOI: 10.1016/J.Neuroimage.2016.02.019  1
2016 Khaligh-Razavi S, Henriksson L, Kay K, Kriegeskorte N. Mixing deep neural network features to explain brain representations Journal of Vision. 16: 369. DOI: 10.1167/16.12.369  1
2015 Khaligh-Razavi SM, Carlin J, Martin Cichy R, Kriegeskorte N. The effects of recurrent dynamics on ventral-stream representational geometry. Journal of Vision. 15: 1089. PMID 26326777 DOI: 10.1167/15.12.1089  1
2015 Henriksson L, Khaligh-Razavi SM, Kay K, Kriegeskorte N. Visual representations are dominated by intrinsic fluctuations correlated between areas. Neuroimage. 114: 275-86. PMID 25896934 DOI: 10.1016/j.neuroimage.2015.04.026  1
2014 Khaligh-Razavi SM, Kriegeskorte N. Deep supervised, but not unsupervised, models may explain IT cortical representation. Plos Computational Biology. 10: e1003915. PMID 25375136 DOI: 10.1371/journal.pcbi.1003915  1
2014 Ghodrati M, Farzmahdi A, Rajaei K, Ebrahimpour R, Khaligh-Razavi SM. Feedforward object-vision models only tolerate small image variations compared to human. Frontiers in Computational Neuroscience. 8: 74. PMID 25100986 DOI: 10.3389/Fncom.2014.00074  1
2014 Zabbah S, Rajaei K, Mirzaei A, Ebrahimpour R, Khaligh-Razavi SM. The impact of the lateral geniculate nucleus and corticogeniculate interactions on efficient coding and higher-order visual object processing. Vision Research. 101: 82-93. PMID 24911515 DOI: 10.1016/J.Visres.2014.05.006  1
2014 Khaligh-Razavi S, Kriegeskorte N. RDM correlations between brain regions and not-strongly-supervised models. Plos Computational Biology. DOI: 10.1371/Journal.Pcbi.1003915.T001  1
2013 Mirzaei A, Khaligh-Razavi SM, Ghodrati M, Zabbah S, Ebrahimpour R. Predicting the human reaction time based on natural image statistics in a rapid categorization task. Vision Research. 81: 36-44. PMID 23419619 DOI: 10.1016/J.Visres.2013.02.003  1
2012 Rajaei K, Khaligh-Razavi SM, Ghodrati M, Ebrahimpour R, Shiri Ahmad Abadi ME. A stable biologically motivated learning mechanism for visual feature extraction to handle facial categorization. Plos One. 7: e38478. PMID 22719892 DOI: 10.1371/Journal.Pone.0038478  1
2012 Ghodrati M, Khaligh-Razavi SM, Ebrahimpour R, Rajaei K, Pooyan M. How can selection of biologically inspired features improve the performance of a robust object recognition model? Plos One. 7: e32357. PMID 22384229 DOI: 10.1371/Journal.Pone.0032357  1
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