Research Overview

The intricacy of the neuronal circuitry makes the brain the most complex and fascinating system ever studied by Science. The Kreiman lab is interested in understanding how biological networks encode, process and transmit information. There are two main lines of research in the lab: (i) how circuits of neurons represent visual information and (ii) how gene expression is orchestrated, with a particular emphasis on gene expression in the nervous system. The lab uses a combination of mathematical, computational and experimental tools.

Please visit the Kreiman lab webpage for further information, publications, ongoing projects and job opportunities.

The Kreiman Lab combines high-resolution neurophysiology of the human brain and computational models to understand the processing of visual information--from perception to cognition.

About Gabriel Kreiman

Gabriel Kreiman received his MSc and PhD degree from the California Institute of Technology (Caltech) and subsequently worked as a research fellow at the Massachusetts Institute of Technology (MIT). The Kreiman lab is interested in the neuronal circuits and algorithms responsible for visual object recognition and memory formation. Visual object recognition is crucial for most everyday tasks including face identification, reading and navigation. The Kreiman lab combines neurophysiology, psychophysics and theoretical/computational modeling to understand the neuronal circuits, algorithms and computations performed by the visual system and to develop biophysically-inspired computational approaches to machine vision and memory formation.

Key Publications

  • Fried I, Mukamel R, Kreiman G. (2011). Internally Generated Preactivation of Single Neurons in Human Medial Frontal Cortex Predicts Volition. Neuron. 69: 548-562.

  • Agam Y, Liu H, Pappanastassiou A, Buia C, Golby AJ, Madsen JR, Kreiman, G. (2010). Robust selectivity to two-object images in human visual cortex. Current Biology. 20: 872-879.
      
  • Kim TK*, Hemberg M*, Gray JM*, Costa A, Bear DM, Wu J, Harmin DA, Laptewicz, M, Barbara-Haley K, Kuersten S, Markenscoff-Papadimitriou E, Kuhl D, Bito H, Worley PF, Kreiman G, Greenberg ME. Widespread transcription at thousands of enhancers during activity-dependent gene expression in neurons. Nature 2010 May 13; 465(7295):182-7. (* = equal contribution)

  • Liu H, Agam Y, Madsen JR, Kreiman G. Timing, timing, timing: Fast decoding of object information from intracranial field potentials in human visual cortex. Neuron 2009 Apr 30; 62(2):281-90.
      
  • Serre T, Kreiman G, Kouh M, Cadieu C, Knoblich U, Poggio T. A quantitative theory of immediate visual recognition. Prog Brain Res 2007; 165:33-56.

  • Kreiman G. Single neuron approaches to human vision and memories. Curr Opin Neurobiol 2007 Aug; 17(4):471-5.

  • Quiroga RQ, Reddy L, Kreiman G, Koch C, Fried I. Invariant visual representation by single neurons in the human brain. Nature 2005 Jun 23; 435(7045):1102-7.

  • Hung CP, Kreiman G, Poggio T, DiCarlo JJ. Fast read-out of object identity from macaque inferior temporal cortex. Science 2005 Nov 4; 310(5749):863-6.

Researcher Services

Researcher Areas

  • Computations in the Brain and the Functional Architecture of Neuronal Circuits

Research Departments

Researcher Programs

Researcher Centers

Researcher Labs

PUBLICATIONS

Publications powered by Harvard Catalyst Profiles

  1. Misra P, Marconi A, Peterson M, Kreiman G. Minimal memory for details in real life events. Sci Rep. 2018 Nov 12; 8(1):16701. View abstract
  2. Zhang M, Feng J, Ma KT, Lim JH, Zhao Q, Kreiman G. Finding any Waldo with zero-shot invariant and efficient visual search. Nat Commun. 2018 09 13; 9(1):3730. View abstract
  3. Tang H, Schrimpf M, Lotter W, Moerman C, Paredes A, Ortega Caro J, Hardesty W, Cox D, Kreiman G. Recurrent computations for visual pattern completion. Proc Natl Acad Sci U S A. 2018 08 28; 115(35):8835-8840. View abstract
  4. Palepu A, Premanathan S, Azhar F, Vendrame M, Loddenkemper T, Reinsberger C, Kreiman G, Parkerson KA, Sarma S, Anderson WS. Automating Interictal Spike Detection: Revisiting A Simple Threshold Rule. Conf Proc IEEE Eng Med Biol Soc. 2018 Jul; 2018:299-302. View abstract
  5. Isik L, Singer J, Madsen JR, Kanwisher N, Kreiman G. What is changing when: Decoding visual information in movies from human intracranial recordings. Neuroimage. 2018 Oct 15; 180(Pt A):147-159. View abstract
  6. Tang H, Singer J, Ison MJ, Pivazyan G, Romaine M, Frias R, Meller E, Boulin A, Carroll J, Perron V, Dowcett S, Arellano M, Kreiman G. Predicting episodic memory formation for movie events. Sci Rep. 2016 Sep 30; 6:30175. View abstract
  7. Kreiman G. A null model for cortical representations with grandmothers galore. Lang Cogn Neurosci. 2017; 32(3):274-285. View abstract
  8. Gómez-Laberge C, Smolyanskaya A, Nassi JJ, Kreiman G, Born RT. Bottom-Up and Top-Down Input Augment the Variability of Cortical Neurons. Neuron. 2016 Aug 03; 91(3):540-547. View abstract
  9. Tang S, Hemberg M, Cansizoglu E, Belin S, Kosik K, Kreiman G, Steen H, Steen J. f-divergence cutoff index to simultaneously identify differential expression in the integrated transcriptome and proteome. Nucleic Acids Res. 2016 06 02; 44(10):e97. View abstract
  10. Tang H, Yu HY, Chou CC, Crone NE, Madsen JR, Anderson WS, Kreiman G. Cascade of neural processing orchestrates cognitive control in human frontal cortex. Elife. 2016 Feb 18; 5. View abstract
  11. Miconi T, Groomes L, Kreiman G. There's Waldo! A Normalization Model of Visual Search Predicts Single-Trial Human Fixations in an Object Search Task. Cereb Cortex. 2016 07; 26(7):3064-82. View abstract
  12. Madhavan R, Millman D, Tang H, Crone NE, Lenz FA, Tierney TS, Madsen JR, Kreiman G, Anderson WS. Decrease in gamma-band activity tracks sequence learning. Front Syst Neurosci. 2014; 8:222. View abstract
  13. Singer JM, Madsen JR, Anderson WS, Kreiman G. Sensitivity to timing and order in human visual cortex. J Neurophysiol. 2015 Mar 01; 113(5):1656-69. View abstract
  14. Prabakaran S, Hemberg M, Chauhan R, Winter D, Tweedie-Cullen RY, Dittrich C, Hong E, Gunawardena J, Steen H, Kreiman G, Steen JA. Quantitative profiling of peptides from RNAs classified as noncoding. Nat Commun. 2014 Nov 18; 5:5429. View abstract
  15. Tang H, Buia C, Madhavan R, Crone NE, Madsen JR, Anderson WS, Kreiman G. Spatiotemporal dynamics underlying object completion in human ventral visual cortex. Neuron. 2014 Aug 06; 83(3):736-48. View abstract
  16. Nassi JJ, Gómez-Laberge C, Kreiman G, Born RT. Corticocortical feedback increases the spatial extent of normalization. Front Syst Neurosci. 2014; 8:105. View abstract
  17. Singer JM, Kreiman G. Short temporal asynchrony disrupts visual object recognition. J Vis. 2014 May 12; 14(5):7. View abstract
  18. Bansal AK, Madhavan R, Agam Y, Golby A, Madsen JR, Kreiman G. Neural dynamics underlying target detection in the human brain. J Neurosci. 2014 Feb 19; 34(8):3042-55. View abstract
  19. Murugan R, Kreiman G. Theory on the coupled stochastic dynamics of transcription and splice-site recognition. PLoS Comput Biol. 2012; 8(11):e1002747. View abstract
  20. Bansal AK, Singer JM, Anderson WS, Golby A, Madsen JR, Kreiman G. Temporal stability of visually selective responses in intracranial field potentials recorded from human occipital and temporal lobes. J Neurophysiol. 2012 Dec; 108(11):3073-86. View abstract
  21. Hemberg M, Gray JM, Cloonan N, Kuersten S, Grimmond S, Greenberg ME, Kreiman G. Integrated genome analysis suggests that most conserved non-coding sequences are regulatory factor binding sites. Nucleic Acids Res. 2012 Sep; 40(16):7858-69. View abstract
  22. Burbank KS, Kreiman G. Depression-biased reverse plasticity rule is required for stable learning at top-down connections. PLoS Comput Biol. 2012; 8(3):e1002393. View abstract
  23. Kreiman G, Maunsell JH. Nine criteria for a measure of scientific output. Front Comput Neurosci. 2011; 5:48. View abstract
  24. Tang H, Kreiman G. Face recognition: vision and emotions beyond the bubble. Curr Biol. 2011 Nov 08; 21(21):R888-90. View abstract
  25. Murugan R, Kreiman G. On the minimization of fluctuations in the response times of autoregulatory gene networks. Biophys J. 2011 Sep 21; 101(6):1297-306. View abstract
  26. Hemberg M, Kreiman G. Conservation of transcription factor binding events predicts gene expression across species. Nucleic Acids Res. 2011 Sep 01; 39(16):7092-102. View abstract
  27. Fried I, Mukamel R, Kreiman G. Internally generated preactivation of single neurons in human medial frontal cortex predicts volition. Neuron. 2011 Feb 10; 69(3):548-62. View abstract
  28. Anderson WS, Kreiman G. Neuroscience: what we cannot model, we do not understand. Curr Biol. 2011 Feb 08; 21(3):R123-5. View abstract
  29. Kreiman G. Decoding ensemble activity from neurophysiological recordings in the temporal cortex. Conf Proc IEEE Eng Med Biol Soc. 2011; 2011:5904-7. View abstract
  30. Blumberg J, Kreiman G. How cortical neurons help us see: visual recognition in the human brain. J Clin Invest. 2010 Sep; 120(9):3054-63. View abstract
  31. Agam Y, Liu H, Papanastassiou A, Buia C, Golby AJ, Madsen JR, Kreiman G. Robust selectivity to two-object images in human visual cortex. Curr Biol. 2010 May 11; 20(9):872-9. View abstract
  32. Kim TK, Hemberg M, Gray JM, Costa AM, Bear DM, Wu J, Harmin DA, Laptewicz M, Barbara-Haley K, Kuersten S, Markenscoff-Papadimitriou E, Kuhl D, Bito H, Worley PF, Kreiman G, Greenberg ME. Widespread transcription at neuronal activity-regulated enhancers. Nature. 2010 May 13; 465(7295):182-7. View abstract
  33. Quian Quiroga R, Kreiman G. Measuring sparseness in the brain: comment on Bowers (2009). Psychol Rev. 2010 Jan; 117(1):291-7. View abstract
  34. Singer J, Kreiman G. Toward unmasking the dynamics of visual perception. Neuron. 2009 Nov 25; 64(4):446-7. View abstract
  35. Rasch M, Logothetis NK, Kreiman G. From neurons to circuits: linear estimation of local field potentials. J Neurosci. 2009 Nov 04; 29(44):13785-96. View abstract
  36. Liu H, Agam Y, Madsen JR, Kreiman G. Timing, timing, timing: fast decoding of object information from intracranial field potentials in human visual cortex. Neuron. 2009 Apr 30; 62(2):281-90. View abstract
  37. Meyers EM, Freedman DJ, Kreiman G, Miller EK, Poggio T. Dynamic population coding of category information in inferior temporal and prefrontal cortex. J Neurophysiol. 2008 Sep; 100(3):1407-19. View abstract
  38. Kreiman G. Single unit approaches to human vision and memory. Curr Opin Neurobiol. 2007 Aug; 17(4):471-5. View abstract
  39. Leamey CA, Glendining KA, Kreiman G, Kang ND, Wang KH, Fassler R, Sawatari A, Tonegawa S, Sur M. Differential gene expression between sensory neocortical areas: potential roles for Ten_m3 and Bcl6 in patterning visual and somatosensory pathways. Cereb Cortex. 2008 Jan; 18(1):53-66. View abstract
  40. Serre T, Kreiman G, Kouh M, Cadieu C, Knoblich U, Poggio T. A quantitative theory of immediate visual recognition. Prog Brain Res. 2007; 165:33-56. View abstract
  41. Tropea D, Kreiman G, Lyckman A, Mukherjee S, Yu H, Horng S, Sur M. Gene expression changes and molecular pathways mediating activity-dependent plasticity in visual cortex. Nat Neurosci. 2006 May; 9(5):660-8. View abstract
  42. Kreiman G, Hung CP, Kraskov A, Quiroga RQ, Poggio T, DiCarlo JJ. Object selectivity of local field potentials and spikes in the macaque inferior temporal cortex. Neuron. 2006 Feb 02; 49(3):433-45. View abstract
  43. Hung CP, Kreiman G, Poggio T, DiCarlo JJ. Fast readout of object identity from macaque inferior temporal cortex. Science. 2005 Nov 04; 310(5749):863-6. View abstract
  44. Quiroga RQ, Reddy L, Kreiman G, Koch C, Fried I. Invariant visual representation by single neurons in the human brain. Nature. 2005 Jun 23; 435(7045):1102-7. View abstract
  45. Yeo G, Holste D, Kreiman G, Burge CB. Variation in alternative splicing across human tissues. Genome Biol. 2004; 5(10):R74. View abstract
  46. Crick F, Koch C, Kreiman G, Fried I. Consciousness and neurosurgery. Neurosurgery. 2004 Aug; 55(2):273-281; discussion 281-2. View abstract
  47. Kreiman G. Identification of sparsely distributed clusters of cis-regulatory elements in sets of co-expressed genes. Nucleic Acids Res. 2004; 32(9):2889-900. View abstract
  48. Su AI, Wiltshire T, Batalov S, Lapp H, Ching KA, Block D, Zhang J, Soden R, Hayakawa M, Kreiman G, Cooke MP, Walker JR, Hogenesch JB. A gene atlas of the mouse and human protein-encoding transcriptomes. Proc Natl Acad Sci U S A. 2004 Apr 20; 101(16):6062-7. View abstract
  49. Kreiman G, Fried I, Koch C. Single-neuron correlates of subjective vision in the human medial temporal lobe. Proc Natl Acad Sci U S A. 2002 Jun 11; 99(12):8378-83. View abstract
  50. Rees G, Kreiman G, Koch C. Neural correlates of consciousness in humans. Nat Rev Neurosci. 2002 Apr; 3(4):261-70. View abstract
  51. Krahe R, Kreiman G, Gabbiani F, Koch C, Metzner W. Stimulus encoding and feature extraction by multiple sensory neurons. J Neurosci. 2002 Mar 15; 22(6):2374-82. View abstract
  52. Zirlinger M, Kreiman G, Anderson DJ. Amygdala-enriched genes identified by microarray technology are restricted to specific amygdaloid subnuclei. Proc Natl Acad Sci U S A. 2001 Apr 24; 98(9):5270-5. View abstract
  53. Kreiman G, Koch C, Fried I. Imagery neurons in the human brain. Nature. 2000 Nov 16; 408(6810):357-61. View abstract
  54. Kreiman G, Koch C, Fried I. Category-specific visual responses of single neurons in the human medial temporal lobe. Nat Neurosci. 2000 Sep; 3(9):946-53. View abstract
  55. Ouyang Y, Rosenstein A, Kreiman G, Schuman EM, Kennedy MB. Tetanic stimulation leads to increased accumulation of Ca(2+)/calmodulin-dependent protein kinase II via dendritic protein synthesis in hippocampal neurons. J Neurosci. 1999 Sep 15; 19(18):7823-33. View abstract