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Large-Scale Automated Histology in the Pursuit of Connectomes

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http://pubman.mpdl.mpg.de/cone/persons/resource/persons84910

Bharioke A, Blinder P, Bock DD, Briggman KL, Chklovskii DB, Denk W, Helmstaedter M, Kaufhold JP, Lee W-CA, Meyer HS, Micheva KD, Oberlaender,  M
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Kleinfeld, D., Bharioke A, Blinder P, Bock DD, Briggman KL, Chklovskii DB, Denk W, Helmstaedter M, Kaufhold JP, Lee W-CA, Meyer HS, Micheva KD, Oberlaender, M., Prohaska S, Reid RC, Smith SJ, Takemura S, Tsai, P., & Sakmann, B. (2011). Large-Scale Automated Histology in the Pursuit of Connectomes. Journal of Neuroscience, 31(45), 16125-16138. doi:10.1523/JNEUROSCI.4077-11.2011.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-B908-A
Abstract
How does the brain compute? Answering this question necessitates neuronal connectomes, annotated graphs of all synaptic connections within defined brain areas. Further, understanding the energetics of the brain's computations requires vascular graphs. The assembly of a connectome requires sensitive hardware tools to measure neuronal and neurovascular features in all three dimensions, as well as software and machine learning for data analysis and visualization. We present the state of the art on the reconstruction of circuits and vasculature that link brain anatomy and function. Analysis at the scale of tens of nanometers yields connections between identified neurons, while analysis at the micrometer scale yields probabilistic rules of connection between neurons and exact vascular connectivity.