Publications - Commentaries and Memos

  • W.Lotter, Kreiman, G., and Cox, D. Unsupervised learning of visual structure using predictive generative networks. 2015. CBMM Memo # 0040 PDF
  • 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
  • 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
  • Singer J, Madsen J, Anderson W,Kreiman G (2014). Sensitivity to timing and order in human visual cortex. CBMM Memo #9. PDF
  • Kreiman G (2013). Mind the quantum? Trends in Cognitive Science, 17(3): 109. PDF
  • Tang H and Kreiman G. Face Recognition: Vision and Emotion beyond the Bubble. Current Biology (2011) 21:21. PDF PMID:22075428
  • Kreiman G (2011). Literary inspiration. Nature 475:453-454. PDF
  • Kreiman G and Maunsell J. Nine criteria for a measure of scientific output. Frontiers in Computational Neuroscience (2011) 5:48. PDF PMID:22102840
  • Anderson, WS and Kreiman, G. Neuroscience: What We Cannot Model, We Do Not Understand. Current Biology (2011) 21: R124-R125. PDF PMID:21315264
  • 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
  • Singer J, Kreiman G. Toward unmasking the dynamics of visual perception. Neuron (2009) 64:446-447. PDF PMID:19945387
  • Quian Quiroga R, Kreiman G. Measuring sparseness in the brain. Psychological Reviews (2010) 117:291-297. PDF PMID: 20063978
  • Kreiman G. (2007). Brain science: from the very large to the very small. Current Biology 17, R768-R770. PDF PMID:17803929
  • 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
  • Hung CP, Kreiman G, Poggio T, DiCarlo JJ. (2005) Ultra-fast object recognition from few spikes, MIT AI Memo 2005-022. PDF
  • 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
  • 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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