@article {59912,
	title = {NWB:N 2.0: An accessible data standard for neurophysiology.},
	journal = {bioRxiv},
	year = {2019},
	month = {2019 Jan 17},
	abstract = {<p>Neurodata Without Borders: Neurophysiology (NWB:N) is a data standard for neurophysiology, providing neuroscientists with a common standard to share, archive, use, and build common analysis tools for neurophysiology data. With NWB:N version 2.0 (NWB:N 2.0) we made significant advances towards creating a usable standard, software ecosystem, and vibrant community for standardizing neurophysiology data. In this manuscript we focus in particular on the NWB:N data standard schema and present advances towards creating an accessible data standard for neurophysiology.</p>
},
	doi = {10.1101/523035},
	author = {Rubel, Oliver and Tritt, Andrew and Dichter, Benjamin and Braun, Thomas and Cain, Nicholas and Clack, Nathan G and Davidson, Thomas J and Dougherty, Max and Fillion-Rubin, Jean-Christophe and Graddis, Nile and Grauer, Michael and Kiggins, Justin T and Niu, Lawrence and Ozturk, Doruk and Schroeder, William and Soltesz, Ivan and Sommer, Friedrich T and Svoboda, Karel and Ng, Lydia and et al}
}
@article {49518,
	title = {Visual physiology of the layer 4 cortical circuit in silico.},
	journal = {PLoS Computational Biology},
	volume = {14},
	year = {2018},
	month = {2018 Nov 12},
	pages = {e1006535},
	abstract = {<p>Despite advances in experimental techniques and accumulation of large datasets concerning the composition and properties of the cortex, quantitative modeling of cortical circuits under in-vivo-like conditions remains challenging. Here we report and publicly release a biophysically detailed circuit model of layer 4 in the mouse primary visual cortex, receiving thalamo-cortical visual inputs. The 45,000-neuron model was subjected to a battery of visual stimuli, and results were compared to published work and new in vivo experiments. Simulations reproduced a variety of observations, including effects of optogenetic perturbations. Critical to the agreement between responses in silico and in vivo were the rules of functional synaptic connectivity between neurons. Interestingly, after extreme simplification the model still performed satisfactorily on many measurements, although quantitative agreement with experiments suffered. These results emphasize the importance of functional rules of cortical wiring and enable a next generation of data-driven models of in vivo neural activity and computations.</p>
},
	issn = {1553-7358},
	doi = {10.1371/journal.pcbi.1006535},
	author = {Arkhipov, Anton and Gouwens, Nathan W and Billeh, Yazan N and Gratiy, Sergey and Iyer, Ramakrishnan and Wei, Ziqiang and Xu, Zihao and Abbasi-Asl, Reza and Berg, Jim and Buice, Michael and Cain, Nicholas and da Costa, Nuno and de Vries, Saskia and Denman, Daniel and Durand, Severine and Feng, David and Jarsky, Tim and Lecoq, Jerome and Lee, Brian and Li, Lu and Mihalas, Stefan and Ocker, Gabriel K and Olsen, Shawn R and Reid, R Clay and Soler-Llavina, Gilberto and Sorensen, Staci A and Wang, Quanxin and Waters, Jack and Scanziani, Massimo and Koch, Christof}
}
