Publications - Commentaries and Memos

All Reviews Conferences Comments Books Book Chapters Theses

    1. Kreiman G (2019). It's a small dimensional world after all. Comment on "The unreasonable effectiveness fo small neural ensembles in high-dimensional brains" by Gorban et al. Physics of Life Reviews, In Press. PDF
    2. W.Lotter, Kreiman, G., and Cox, D. Unsupervised learning of visual structure using predictive generative networks. 2015. CBMM Memo # 0040 PDF
    3. Miconi T, Groomes L, Kreiman G (2014). A normalization model of visual search predicts single trial human fixations in an object search task. CBMM Memo #8. PDF
    4. Tang H, Buia C, Madsen JR, Anderson W, Kreiman G (2014). A role for recurrent processing in object completion: neurophysiological, psychophysical and computational evidence. CBMM Memo #5. PDF
    5. Singer J, Madsen J, Anderson W,Kreiman G (2014). Sensitivity to timing and order in human visual cortex. CBMM Memo #9. PDF
    6. Kreiman G (2013). Mind the quantum? Trends in Cognitive Science, 17(3): 109. PDF
    7. Tang H and Kreiman G. Face Recognition: Vision and Emotion beyond the Bubble. Current Biology (2011) 21:21. PDF PMID:22075428
    8. Kreiman G (2011). Literary inspiration. Nature 475:453-454. PDF
    9. Kreiman G and Maunsell J. Nine criteria for a measure of scientific output. Frontiers in Computational Neuroscience (2011) 5:48. PDF PMID:22102840
    10. Anderson, WS and Kreiman, G. Neuroscience: What We Cannot Model, We Do Not Understand. Current Biology (2011) 21: R124-R125. PDF PMID:21315264
    11. Meyers E, Embark H, Freiwald W, Serre T, Kreiman G, Poggio T. Examining neural representations of cluttered scenes. 2010, MIT AI Memo. Boston. CBCL-289 // MIT-CSAIL-TR-2010-034. PDF
    12. Singer J, Kreiman G. Toward unmasking the dynamics of visual perception. Neuron (2009) 64:446-447. PDF PMID:19945387
    13. Quian Quiroga R, Kreiman G. Measuring sparseness in the brain. Psychological Reviews (2010) 117:291-297. PDF PMID: 20063978
    14. Kreiman G. (2007). Brain science: from the very large to the very small. Current Biology 17, R768-R770. PDF PMID:17803929
    15. Serre T, Kouh M, Cadieu C, Knoblich U, Kreiman G, Poggio T. (2005) A theory of object recognition: computations and circuits in the feedforward path of the ventral stream in primate visual cortex, MIT AI Memo 2005-036. PDF
    16. Hung CP, Kreiman G, Poggio T, DiCarlo JJ. (2005) Ultra-fast object recognition from few spikes, MIT AI Memo 2005-022. PDF
    17. Kreiman, G., Hung, C., Poggio, T., and DiCarlo, J. (2004). Selectivity of local field potentials in macaque inferior temporal cortex. MIT AI Memo 2004-020. PDF
    18. Kreiman G. Moveo Ergo Sum. Book Review. BioEssays (2001) 23:662. Comment on book "Consciousness in Brains and Networks" by Roger Cotterill. PDF
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