| Autor: |
Kleinfeld D; Department of Physics and Section of Neurobiology, University of California, San Diego, La Jolla, California 92093, USA. dk@physics.ucsd.edu, Bharioke A, Blinder P, Bock DD, Briggman KL, Chklovskii DB, Denk W, Helmstaedter M, Kaufhold JP, Lee WC, Meyer HS, Micheva KD, Oberlaender M, Prohaska S, Reid RC, Smith SJ, Takemura S, Tsai PS, Sakmann B |
| Jazyk: |
angličtina |
| Zdroj: |
The Journal of neuroscience : the official journal of the Society for Neuroscience [J Neurosci] 2011 Nov 09; Vol. 31 (45), pp. 16125-38. |
| DOI: |
10.1523/JNEUROSCI.4077-11.2011 |
| Abstrakt: |
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. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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