Gabriel Kreiman

Gabriel Kreiman

Professor
Children's Hospital Boston, Harvard Medical School
Center for Brain Science, Harvard University Center for Minds, Brains and Machines
Gabriel Kreiman

Investigating the neuronal circuits responsible for visual recognition and learning.

The Kreiman lab is interested in elucidating how neural circuits compute and building biologically-inspired Artificial Intelligence. To this end, we combine behavioral measurements, invasive neurophysiological recordings in the human brain and computational neuroscience models. The main topics of investigation center around visual recognition, learning, and memory. Within visual recognition, current projects include studying the mechanisms of pattern completion, visual search, context and task dependence, spatiotemporal integration and building machines that can see and interpret the world the way we do. Within learning and memory, current projects include studying real life memories, understanding how medial temporal lobe circuits lead to memory consolidation, and building biologically plausible models for episodic memory formation.

 

Selected Publications:

Tang, H. Buia C, Madhavan R, Madsen J, Anderson W, Crone N, Kreiman G. Spatiotemporal dynamics underlying object completion in human ventral visual cortex. Neuron 83:736-748 (2014)

Burbank KS, Kreiman GK. Depression-Biased Reverse Plasticity Rule Is Required for Stable Learning at Top-Down Connections. PLoS Computational Biology 8:1-16. (2012).

Visual Population Codes. Towards a Common Multivariate Framework for Cell Recording and Functional Imaging. Nikolaus Kriegeskorte and Gabriel Kreiman. MIT Press (2011).

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 465:182-187 (2010)

Serre T, Kreiman G, Kouh M, Cadieu C, Knoblich U, Poggio T. A quantitative theory of immediate visual recognition. Progress In Brain Research 165C:33-56 (2007)

Hung C*, Kreiman G*, Poggio T, DiCarlo J. Fast read-out of object identity from macaque inferior temporal cortex. Science, 310:863-866 (2005)

 

Contact Information

3 Blackfan Circle, Center for Life Sciences (CLS) Building
13th Floor, Rooms 13075-13078 and CLS 18th Floor
Boston, MA 02115
p: 617 919-2530

Faculty Alphabetical