Details

Autor(en) / Beteiligte

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

Titel

Large-scale automated histology in the pursuit of connectomes

Ist Teil von

• The Journal of neuroscience, 2011-11, Vol.31 (45), p.16125-16138

Ort / Verlag

United States: Society for Neuroscience

Erscheinungsjahr

2011

Quelle

MEDLINE

Beschreibungen/Notizen

• 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.