Partha P. Mitra
Ph.D., Harvard University, 1993
My lab has initiated the Mouse Brain Architecture Project, in which we are systematically generating a brain-wide connectivity map at a resolution that highlights the connections between different brain regions. I also undertake theoretical work at the interface between physics, engineering and biology, bringing methods from statistical physics to bear on questions about the workings of complex biological networks.
Partha Mitra seeks to develop an integrative picture of brain function, incorporating theory, informatics, and experimental work. In the ongoing Mouse Brain Architecture Project, Mitra and colleagues are generating a brain-wide connectivity map for the mouse using a shotgun approach, where neuronal tracer substances are injected systematically on a grid in the brain. Currently, ~500 tracer-injected mouse brains may be viewed through a virtual online digital microscope on the project portal (http://mouse.brainarchitecture.org). The project requires a petabyte of data, posing big-data computational challenges that the lab is finding novel ways of meeting. In another application of whole-brain digital neuroanatomy, Mitra is collaborating with Josh Huang to characterize the distribution of the cell bodies and processes of subtypes of GABAergic neurons in mouse brains, to understand the differences between a normal mouse and mouse models of autism spectrum disorders. In parallel, Mitra is undertaking theoretical work at the interface between physics, engineering, and biology by bringing methods from statistical physics to bear on problems in network control theory and multivariable statistics. Biological networks involve large numbers of variables, and it is expected that insights and analytical methods derived from this work will apply to biological networks such as the whole-brain network being determined in the Mouse Brain Architecture Project.
Bamieh, B. and Jovanović, M. R. and Mitra, P. and Patterson, S. (2012) Coherence in large-scale networks: Dimension-dependent limitations of local feedback. IEEE Transactions on Automatic Control 57(9) pp. 2235-2249.
Feher, O. and Wang, H. and Saar, S. and Mitra, P. P. and Tchernichovski, O. (2009) De novo establishment of wild-type song culture in the zebra finch. Nature 459(7246) pp. 564-568.
Bohland, J. W. and Wu, C. and Barbas, H. and Bokil, H. and Bota, M. and Breiter, H. C. and Cline, H. T. and Doyle, J. C. and Freed, P. J. and Greenspan, R. J. and Haber, S. N. and Hawrylycz, M. and Herrera, D. G. and Hilgetag, C. C. and Huang, Z. J. and Jones, A. and Jones, E. G. and Karten, H. J. and Kleinfeld, D. and Kotter, R. and Lester, H. A. and Lin, J. M. and Mensh, B. D. and Mikula, S. and Panksepp, J. and Price, J. L. and Safdieh, J. and Saper, C. B. and Schiff, N. D. and Schmahmann, J. D. and Stillman, B. W. and Svoboda, K. and Swanson, L. W. and Toga, A. W. and Van Essen, D. C. and Watson, J. D. and Mitra, P. P. (2009) A proposal for a coordinated effort for the determination of brainwide neuroanatomical connectivity in model organisms at a mesoscopic scale. PLoS Computational Biology 5(3) pp. e1000334.
Pesaran, B. and Pezaris, J. S. and Sahani, M. and Mitra, P. P. and Andersen, R. A. (2002) Temporal structure in neuronal activity during working memory in macaque parietal cortex. Nature Neuroscience 5(8) pp. 805-811.
Andrews, M. R. and Mitra, P. P. and Decarvalho, R. (2001) Tripling the capacity of wireless communications using electromagnetic polarization. Nature 409(6818) pp. 316-318.Additional materials of the author at
CSHL Institutional Repository
CSHL’s Partha Mitra receives two awards for theoretical work with implications for brain circuitry
Analysis of 26 networked autism genes suggests functional role in the cerebellum
Neuroscientists reach major milestone in whole-brain circuit mapping project
George S. Axelby Outstanding Paper Award