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Large-Scale Automated Histology in the Pursuit of Connectomes.

Authors :
Kleinfeld, David
Bharioke, Arjun
Blinder, Pablo
Bock, Davi D.
Briggman, Kevin L.
Chklovskii, Dmitri B.
Denk, Winfried
Helmstaedter, Moritz
Kaufhold, John P.
Wei-Chung Allen Lee
Meyer, Hanno S.
Micheva, Kristina D.
Oberlaender, Marcel
Prohaska, Steffen
Reid, R. Clay
Smith, Stephen J.
Takemura, Shinya
Tsai, Philbert S.
Sakmann, Bert
Source :
Journal of Neuroscience; 11/9/2011, Vol. 31 Issue 45, p16125-16138, 14p
Publication Year :
2011

Abstract

How does the brain compute? Answering this question necessitates neuronal connectomes, annotated graphs of aU synaptic connections within defined brain areas. Further, understanding the energetics of the brain's computations require vascular graphs. The a embly of a connectomc requires sensitive hardware tools to measure neuronal and neurovascular features in all three dimensions, as weU 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02706474
Volume :
31
Issue :
45
Database :
Complementary Index
Journal :
Journal of Neuroscience
Publication Type :
Academic Journal
Accession number :
69969436
Full Text :
https://doi.org/10.1523/JNEUROSCI.4077-11.2011