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.
- 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.
For a complete listing of Kreiman Lab publications, please click here.
Kreiman Lab Website