@article {47599,
	title = {A large fraction of neocortical myelin ensheathes axons of local inhibitory neurons.},
	journal = {eLife},
	year = {2016},
	month = {2016 Jul 6},
	abstract = {<p>Myelin is best known for its role in increasing the conduction velocity and metabolic efficiency of long-range excitatory axons. Accordingly, the myelin observed in neocortical gray matter is thought to mostly ensheath excitatory axons connecting to subcortical regions and distant cortical areas. Using independent analyses of light and electron microscopy data from mouse neocortex, we show that a surprisingly large fraction of cortical myelin (half the myelin in layer 2/3 and a quarter in layer 4) ensheathes axons of inhibitory neurons, specifically of parvalbumin-positive basket cells. This myelin differs significantly from that of excitatory axons in distribution and protein composition. Myelin on inhibitory axons is unlikely to meaningfully hasten the arrival of spikes at their pre-synaptic terminals, due to the patchy distribution and short path-lengths observed. Our results thus highlight the need for exploring alternative roles for myelin in neocortical circuits.</p>
},
	doi = {10.7554/eLife.15784},
	author = {Micheva, Kristina D and Wolman, Dylan and Mensh, Brett D and Pax, Elizabeth and Buchanan, JoAnn and Smith, Stephen J and Bock, Davi D}
}
@article {4326,
	title = {Large-scale automated histology in the pursuit of connectomes.},
	journal = {The Journal of Neuroscience: The Official Journal of the Society for Neuroscience},
	volume = {31},
	year = {2011},
	month = {2011 Nov 9},
	pages = {16125-38},
	abstract = {<p>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{\textquoteright}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.</p>
},
	issn = {1529-2401},
	doi = {10.1523/JNEUROSCI.4077-11.2011},
	author = {Kleinfeld, David and Bharioke, Arjun and Blinder, Pablo and Bock, Davi D and Briggman, Kevin L and Chklovskii, Dmitri B and Denk, Winfried and Helmstaedter, Moritz and Kaufhold, John P and Lee, Wei-Chung Allen and Meyer, Hanno S and Micheva, Kristina D and Oberlaender, Marcel and Prohaska, Steffen and Reid, R Clay and Smith, Stephen J and Takemura, Shinya and Tsai, Philbert S and Sakmann, Bert}
}
