Large-scale automated histology in the pursuit of Connectomes

David Kleinfeld, Arjun Bharioke, Pablo Blinder, Davi D. Bock, Kevin L. Briggman, Dmitri B. Chklovskii, Winfried Denk, Moritz Helmstaedter, John P. Kaufhold, Wei Chung Allen Lee, Hanno S. Meyer, Kristina D. Micheva, Marcel Oberlaender, Steffen Prohaska, R. Clay Reid, Stephen J. Smith, Shinya Takemura, Philbert S. Tsai, Bert Sakmann

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)16125-16138
Number of pages14
JournalJournal of Neuroscience
Volume31
Issue number45
DOIs
StatePublished - 9 Nov 2011
Externally publishedYes

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