Associate Professor		
Department of Ophthalmology and Neurology		
Children’s Hospital Boston, Harvard Medical School		
Program in Biophysics, Program in Neuroscience		
Center for Brain Science, Harvard University		
Swartz Center for Theoretical Neuroscience		
11 Blackfan Circle, Karp 11. Boston, MA 02115	

	http://kreiman.hms.harvard.edu	
617-919-2530	Gabriel.Kreiman@tch.harvard.edu	

Education

1991-1996	B.Sc. University of Buenos Aires. Physical Chemistry 
(Argentine Chemistry Association summa cum laude)
1998-2002	M.Sc. California Institute of Technology. Computation and Neural Systems. Advisor = Professor Christof Koch
1996-2002	Ph.D. California Institute of Technology. Biology Division. 
Advisor = Professor Christof Koch
(Caltech best Ph.D. Award and Caltech best biology Ph.D. Award)
2002-2006	Whiteman Science Fellow and McGovern Institute Fellow. Massachusetts Institute of Technology. Dept. of Brain and Cognitive Science and Computation and Systems Biology Initiative. Advisor = Professor Tomaso Poggio. 

Selected awards and honors

1984 	Metropolitan Chess Champion. Buenos Aires. Argentina. (category < 15 yrs old)
1990 	Sub-champion. National Math Olympiads. Argentina. (high school)
1994 	Outstanding Youth Award. Buenos Aires Stock Exchange Foundation.
1995 	A. Luna Honor Award. Dow Chemical Company.
1997 	Argentine Chemistry Association, Best B.Sc. in Physical Chemistry. 
2000 	Everhart Distinguished Graduate Student Lecture Award. Caltech.
2002	Lawrence L. and Audrey W. Ferguzon Prize, Caltech. Best Biology Ph.D. Thesis.
2002	Milton and Francis Clauser Doctoral Prize, Caltech. Best Ph.D. Thesis.
2003-6	MIT Dean of Science Whiteman Fellowship
2007-8	Children’s Hospital Boston Career Development Award
2008	Klingenstein Fund Award
2008	Whitehall Foundation Award
2009	NIH New Innovator Award
2010	NSF Career Award
2010	Career Development Award, Society for Neuroscience

Publications

Books

•	Kriegeskorte N and Kreiman G, eds. Understanding visual population codes. MIT Press. 2011. 

Peer-reviewed primary publications 

•	Murugan R and Kreiman G. Theory on the coupled stochastic dynamics of transcription and splice-site recognition. PLoS Computational Biology, 2012. 8:1-13.
•	Bansal, A, Singer J, Anderon WS, Golby, A, Madsen JR, Kreiman G. Temporal stability of visually selective responses in intracranial field potentials recorded from human occipital and temporal lobes. Journal of Neurophysiology, 2012. 108:3073-3086.
•	Hemberg M, Gray JM, Cloonan N, Kuersten S, Grimmond S, Greenberg ME, Kreiman G (2012). Integrated genome analysis suggests that most conserved non-coding sequences are regulatory factor binding sites.
Nucleic Acids Research, 2012. 40:7858-7869.
•	Burbank K and Kreiman G. Depression-biased reverse plasticity rule is required for stable learning at top-down connections. PLOS Computational Biology, 2012. 8:1-16.
•	Fried I, Mukamel R, Kreiman G. Internally generated preactivation of single neurons in human medial frontal cortex predicts volition. Neuron, 2011. 69: 548-562.
•	Kreiman G and Maunsell J. Nine criteria for a measure of scientific output. Frontiers in Computational Neuroscience, 2011. 5:48. 
•	Murugan R and Kreiman G. On the minimization of fluctuations in the response times of autoregulatory gene networks. Biophysical Journal, 2011. 101: 1297-1306.
•	Hemberg M and Kreiman G. Conservation of transcription factor binding events predicts gene expression across species. Nucleic Acids Research, 2011. 39:7092-7102.
•	Agam Y, Liu H, Pappanastassiou A, Buia C, Golby AJ, Madsen JR, Kreiman G. Robust selectivity to two-object images in human visual cortex. Current Biology, 2010. 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. (* = equal contribution) Nature, 2010. 465:182-187.
•	Rasch M, Logothetis NK, Kreiman G, From neurons to circuits: linear estimation of local field potentials. 
Journal of Neuroscience, 2009. 29:13785-13796
•	Horng S, Kreiman G, Ellsworth C, Page D, Blank M, Millen K, Sur M. Differential Gene Expression in the Developing Lateral Geniculate Nucleus and Medial Geniculate Nucleus Reveals Novel Roles for Zic4 and 
Foxp2 in Visual and Auditory Pathway Development. Journal of Neuroscience, 2009. 29:13672-13683
•	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) 62:281-290 
•	Meyers E, Freedman D, Kreiman G, Miller E, Poggio T. Dynamic Population Coding of Category Information in ITC and PFC. Journal of Neurophysiology, (2008) 100: 1407-1419
•	Leamey C., Glendining K., Kreiman G., Kang N., Kuan H., Fassler R., Sawatari A., Tonegawa S., and Sur M. Differential Gene Expression between Sensory Neocortical Areas: Potential Roles for Ten_m3 and Bcl6 in Patterning Visual and Somatosensory Pathways. Cerebral Cortex (2008), 18:53-66
•	Tropea D, Kreiman G, Lyckman AW, Mukherjee S, Yu H, Horng S, Sur, M. Distinct gene systems mediating activity-dependent plasticity in visual cortex. Nature Neuroscience (2006) 9:660-668
•	Kreiman G*, Hung C*, Kraskov A, Quiroga R, Poggio T, DiCarlo J. Object selectivity by local field potentials in the macaque inferior temporal cortex. Neuron (2006) 49:433-445 (*=equal contribution) 
•	Hung C*, Kreiman G*, Poggio T, DiCarlo J. Fast read-out of object identity from macaque inferior temporal cortex. Science (2005), 310:863-866. (*=equal contribution)  
•	Quian-Quiroga R, Reddy L, Kreiman G, Koch C, Fried I. Invariant visual representation by single neurons in the human brain. Nature (2005), 435:1102-1107  
•	Kreiman G. Identification of sparsely distributed clusters of cis-regulatory elements in sets of co-expressed genes. Nucleic Acids Research (2004), 32:2889-2900 
•	Su AI, Wiltshire T, Batalov S, Lapp H, Ching KA, Block D, Zhang J, Soden R, Hayakawa M, Kreiman G, Cooke MP, Walker JR and Hogenesch JB. A gene atlas of the mouse and human protein-encoding transcriptomes. PNAS (2004), 101:6062-6067
•	Yeo G., Holste D., Kreiman G. and Burge C. Variation in alternative splicing across human tissues. Genome Biology (2004), 5:R74
•	Kreiman G, Fried I, Koch C. Single neuron responses in the human brain during flash suppression PNAS (2002), 99:8378-8383 
•	Krahe R., Kreiman G., Gabbiani F., Koch C. and Metzner W. Stimulus encoding and feature extraction by multiple pyramidal cells in the hindbrain of weakly electric fish. J. Neuroscience (2002), 22:2374-2382
•	Zirlinger M., Kreiman G. and Anderson D. Amygdala-enriched genes identified by microarray technology are restricted to specific amygdaloid sub-nuclei. PNAS (2001), 98:5270-5275
•	Kreiman G., Koch C. and Fried I. Imagery neurons in the human brain. Nature (2000), 408:357-361. 
•	Kreiman G., Krahe R., Metzner W., Koch C. and Gabbiani F. Robustness and variability of neuronal coding by amplitude sensitive afferents in the weakly electric fish Eigenmannia. J. Neurophysiology (2000), 84:189-204	
•	Kreiman G., Koch C. and Fried I. Category-specific visual responses of single neurons in the human medial temporal lobe. Nat. Neurosci. (2000), 3:946-953 
•	Ouyang Y., Rosenstein A., Kreiman G., Schuman E. M. and Kennedy M. B. Tetanic stimulation leads to increased accumulation of CaMKII via dendritic protein synthesis in hippocampal neurons. Journal of Neuroscience (1999), 19:7823-7833. 
•	Inon de Iannino N., Briones G., Kreiman G. and Ugalde R. Characterization of the biosynthesis of (1-2) cyclic glucan in R. Freddii.  Cell. Mol.. Biol. (1996), 42:617-629

Reviews
•	Blumberg J. and Kreiman, G. (2010). How cortical neurons help us see: visual recognition in the human brain. Journal of Clinical Investigation 120:3054-3063. 
•	Quian Quiroga R, Kreiman G (2010). Measuring sparseness in the brain. Psych. Reviews, 17:291-297
•	Quian Quiroga R, Kreiman G, Koch C, Fried I. (2008). Sparse but not 'Grandmother-cell' coding in the medial temporal lobe. Trends in Cognitive Science 12, 87-91
•	Kreiman G. Single neuron approaches to human vision and memory. Current Opinion in Neurobiology (2007), 17:471-475
•	Serre T, Kreiman G, Kouh M, Cadieu C, Knoblich U, Poggio T, A quantitative theory of immediate visual recognition. Progress In Brain Research (2007) 165C: 33-56. 
•	Rees G., Kreiman G. and Koch C. Neural correlates of consciousness in humans. Nature Reviews Neuroscience (2002), 3:261-270
•	Crick F, Koch C, Kreiman G, Fried I. Consciousness and neurosurgery. Neurosurgery (2004), 55:273-282
•	Kreiman G. Neural coding: computational and biophysical perspectives. Physics of Life Reviews (2004), 2:71-102.

Other

•	Kreiman G. Literary inspiration. Nature, 2011. 475:453-454. [Comment]
•	Tang H, Kreiman G. Face Recognition: Vision and Emotions beyond the Bubble. Current Biology, 2011. 21:R888-890 [Comment] 
•	Anderson WS and Kreiman G. (2011). Neuroscience: What We Cannot Model, We Do Not Understand. Current Biology. 21: R124-R125. [Comment]
o	Burbank K, Kreiman G. Introduction to the Anatomy and Function of Visual Cortex (Chapter 17). In Kriegeskorte N and Kreiman G, eds. Understanding visual population codes. MIT Press. 2011  [Book chapter]
o	Singer J, Kreiman G. Introduction to Statistical Learning and Pattern Classification (Chapter 18). In Kriegeskorte N and Kreiman G, eds. Understanding visual population codes. MIT Press. 2011 [Book chapter]
o	Meyers E, Kreiman G. Tutorial on Pattern Classification in Cell Recording (Chapter 19). In Kriegeskorte N and Kreiman G, eds. Understanding visual population codes. MIT Press. 2011 [Book chapter]
•	Kreiman G. Models of visual recognition. To appear in “Principles of neural coding’, edited by Quian Quiroga and Panzeri. Oxford University Press [Book chapter]
•	Anderson WS, Kreiman G. What we cannot model, we cannot understand. Current Biology, 2011. 21:R124-R125. [Comment]
•	Singer J, Kreiman G, Toward unmasking the dynamics of visual perception. Neuron, 2009. 64:446-447. [Comment]
•	Kreiman G. Single cell studies, human. In Encyclopedia of Consciousness, P. Wilken, ed. (Oxford, Oxford University Press). 2010 [Book Section]
•	Tsuchiya N, Kreiman G. (2008). Psyche, attention and consciousness. Psyche 14, 1-2. [Editorial]
•	Kreiman, G. (2008). Biological object recognition. Scholarpedia 3, 2667. [Peer-reviewed Web entry]
•	Kreiman G, (2007) Neuroscience: from the very large to the very small. Current Biology, 17:R768-R770 [Comment]
•	Kreiman G, Fried I, Koch C. (2005) Responses of single neurons in the human brain during flash suppression. Ch.12, “Binocular Rivalry”, edited by Alais/Blake, MIT Press. [Book chapter]
•	Serre, Kouh, Cadieu, Knoblich, Kreiman, Poggio. (2005) A theory of object recognition MIT AI Memo 2005-036. [Technical Report]
•	Kreiman G. (2001). Moveo ergo sum. BioEssays 23:662.	[Comment]
•	Kreiman G. (2001). On the neuronal activity in the human brain during visual recognition, imagery and binocular rivalry. California Institute of Technology. (Ph.D. Thesis)	[Thesis]
•	Kreiman G. (2001). Neural coding and feature extraction of time-varying signals. California Institute of Technology. (M.Sc. Thesis) 	[Thesis]

Presentations

Selected Invited talks
Bernstein Center for Computational Neuroscience, Germany 2012.
Mini-symposium. Society for Neuroscience, 2012.
MIT Intelligence Initiative. August 2012.
Portuguese Society of Neurology Annual Meeting. Portugal 2012.
University of Chicago. Chicago. 2012.
Brown University. Providence. 2012.
Baylor College of Medicine. Houston, 2011.
NSF/NIH CRCNS Annual Meeting. Princeton 2011.
NIH New Innovator Award Annual Symposium. Washington 2011.
Universita di Trento, Center for Brain/Mind Sciences. Roveretto, Italy. 2011
Satellite Symposium, ASSC Annual Meeting. Kyoto, Japan. 2011.
RIKEN Institute. Tokyo, Japan. 2011.
NIPS Institute. Okasaka, Japan. 2011.
University of Pennsylvania. Philadelphia. 2011.
University of Leuven, Leuven, Belgium. 2010.
MEEI Annual Meeting, Boston, US. 2010. 
International Conference on Cognitive Neuroscience, Beijing, China. 2010.
Computation and Systems Neuroscience conference. Local field potentials workshop. Salt Lake City, US. 2010.
University of Birmingham. Birmingham, UK. 2010.
SFN mini-symposium. Chicago, US. 2009.
ECVP symposium, Regensburg, Germany. 2009.
International Neuropsychology Society, Dubrovnik, Croatia. 2009.
Chinese National Academy of Science, Beijing, China. 2008.
Institute of Neuroscience and Brain Research Center, National Yang Ming University, Taipei, Taiwan. 2008.
MEEI Annual Meeting, Boston, US. 2008. 
Cosyne 2008, Decoding Information Workshop, Salt Lake City, US. 2008. 
Harvard Vision Lab, Cambridge, US. 2007.
Imperial College London, London, UK. 2007.
University of Leicester, Leicester, UK, 2007.
University of Trento, Roveretto, Italy. 2007.
Workshop “A Journey through computation”, Genova, Italy, June 2007.
Visual Sciences Society, Workshop on decoding brain activity. Sarasota, US. 2007.
Janelia Farm, Virginia, US. 2007.
Dana Foundation Conference, Los Angeles, US. 2007.
Center for Cognitive Science, Duke University, Durham, US. 2006.
Department of Bioengineering, Duke University, Durham, US. 2006.
Department of Computer Science, Columbia University, New York, US. 2006.
Department of Bioengineering, Columbia University, New York, US. 2006.
Stanford, Department of Bioengineering, Palo Alto, US 2006.
Children’s Hospital Boston, Boston, US. 2006.
Center for Brain Science, Boston, Harvard University, Boston, US. 2006.
Memorial Sloan Kettering, New York, US. 2005.
Stanford, Department of Computer Science, US. 2005.
Institute for Neuroinformatics, Zurich, Switzerland. 2005.
Salk Institute, San Diego, US. 2004.
Harvard Vision Seminar, Cambridge, US. 2004.		
Caltech CNSE Special Symposium, Pasadena, US. 2004	
New paradigms in Computational Neuroscience, Cordoba, Argentina. US. 2004.
Computational Systems Biology Symposium 2004. Cambridge, US. 2004. 
Methods in Comp. Neuroscience, Marine Biological Laboratory, Woods Hole, US 2003. 
Hamburg University, Germany. 2003. 
Gottingen Neurobiology Conference, Germany. 2003.
ASSC Annual Meeting, Memphis. 2003.
AAAS Meeting, Denver.  2003. 
UC Irvine, Irvine, US. 2002.
Caltech. Everhart Distinguished Graduate Student Lecture. Pasadena, US. 2000.

Reviewing

Ad hoc reviewer for the following journals
Acta Astronomica, Cerebral Cortex, Journal of Computational Neuroscience, Biotechniques, Journal of Cognitive Neuroscience, Experimental Brain Research, Nature Neuroscience, Journal of Comparative Physiology A, RECOMB, Neurocomputation, Bioinformatics, Nucleic Acids Research, PLoS Computational Biology, Neuroscience, Journal of Neurochemistry, Journal of Neuroscience, PNAS, HFSP Journal, Computational Neuroscience, Neural Networks, Nature Methods, Brain, Journal of Neuroscience Methods, Journal of Neurophysiology, Computational Intelligence and Neuroscience, Scholarpedia, IEEE Journal of Selected Topics in Signal Processing, IEEE transactions in Computational Biology and Bioinformatics, Comparative Biochemistry and Physiology, PLoS Biology, Neural Computation, Current Biology, Journal of Neural Engineering, Nature Protocols, ISMB, Neuroimage, BMC Bioinformatics, Trends in Neuroscience, IEEE Spectrum, Neuron, Frontiers in Perception Science / Computational Neuroscience, Trends in Cognitive Science.

Grant Review Panels
National Science Foundation (NSF, Robust Intelligence Panel, Collaborative Research in Computational Neuroscience Panel, Cognitive Neuroscience Panel); NIH (SPC Study Section), Rappaport Institution, Technion (Israel); Engineering and Physical Sciences Research Council (EPSRC, UK); Agence Nationale de la Reserche (ANR, France); Kolumb program (Poland), US-Israel Binational Science Foundation, FWO (Belgium), NWO (Netherlands).

Patent Review
Patent evaluation for US Patent and Trademark Office

Teaching

2007-2012	Harvard. HMS230. Visual Object Recognition
2010-2012	Biophysics 300 (Hogle)
2009-2012	Harvard HMS204. Neurophysiology of Central Circuits. (Wilson, Born)
2008-2012	Harvard. MCB145 (Uchida)
2004-2005 	MIT IAP class: The quest for consciousness
2003  	MIT 7.3444 Genomics and bioinformatics of transcription (with U.Ohler)
1998-1999	Caltech CNS/Bi 163

Patents

20090297573 Identifying and Modulating Molecular Pathways that Mediate Nervous System Plasticity (Pending, with Mriganka Sur and Daniela Tropea)

Funding
2013-2013	Simons Foundation (with Ralph Adolphs)
2011-2013	NIH R21 (NINDS) – 1R21NS070250
2011-2012	Air Force Research Labs / Darpa (with Prof. T. Poggio) 
2011-2013	NSF – 10101009 (Collaborative Research in Computational Neuroscience) 
2011-2011	CIMIT Foundation (with Prof. Stanley Anderson) 
2010-2014	NSF – 0954570 (Career Award) 
2009-2014	NIH DP2 (NIGMS) – 1DP2OD006461 (New Innovator Award) 
2007-2011	Massachusetts Lions Foundation (PI = Dr. David Hunter) 
2009-2010	NIH R21 (NEI) – 1R21EY019710 
2010-2011	NIH IDDRC Center – (PI = Dr. Scott Pomeroy) 
2009-2011	Hood Foundation (PI = Dr. William S. Anderson) 
2008-2010	Whitehall Foundation 
2008-2010	Klingenstein Fund 
2007-2008	American Epilepsy Foundation
2007-2008	Children’s Hospital Harvard Medical School Career Development Award
2005-2008	NSF Cognitive Neuroscience (with Prof. T. Poggio, Prof. E. Miller)
2003-2006            MIT Dean of Science Whiteman Fellowship