Henry Markram

Affiliations: 
EPFL-Brain Mind Institute, Lausanne, Vaud, Switzerland 
Area:
neocortex
Google:
"Henry Markram"
Mean distance: 12.1 (cluster 6)
 
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Publications

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Logette E, Lorin C, Favreau C, et al. (2021) A Machine-Generated View of the Role of Blood Glucose Levels in the Severity of COVID-19. Frontiers in Public Health. 9: 695139
Krepl J, Casalegno F, Delattre E, et al. (2021) Supervised Learning With Perceptual Similarity for Multimodal Gene Expression Registration of a Mouse Brain Atlas. Frontiers in Neuroinformatics. 15: 691918
Zisis E, Keller D, Kanari L, et al. (2021) Digital Reconstruction of the Neuro-Glia-Vascular Architecture. Cerebral Cortex (New York, N.Y. : 1991)
Abdellah M, Foni A, Zisis E, et al. (2021) Metaball skinning of synthetic astroglial morphologies into realistic mesh models for visual analytics and in silico simulations. Bioinformatics (Oxford, England). 37: i426-i433
Newton TH, Reimann MW, Abdellah M, et al. (2021) In silico voltage-sensitive dye imaging reveals the emergent dynamics of cortical populations. Nature Communications. 12: 3630
Courcol JD, Invernizzi CF, Landry ZC, et al. (2021) ARC: An Open Web-Platform for Request/Supply Matching for a Prioritized and Controlled COVID-19 Response. Frontiers in Public Health. 9: 607677
Abdellah M, Guerrero NR, Lapere S, et al. (2020) Interactive visualization and analysis of morphological skeletons of brain vasculature networks with VessMorphoVis. Bioinformatics (Oxford, England). 36: i534-i541
Nolte M, Gal E, Markram H, et al. (2020) Impact of higher order network structure on emergent cortical activity. Network Neuroscience (Cambridge, Mass.). 4: 292-314
Coggan JS, Keller D, Markram H, et al. (2019) Excitation states of metabolic networks predict dose-response fingerprinting and ligand pulse phase signalling. Journal of Theoretical Biology. 487: 110123
Barros-Zulaica N, Rahmon J, Chindemi G, et al. (2019) Estimating the Readily-Releasable Vesicle Pool Size at Synaptic Connections in the Neocortex. Frontiers in Synaptic Neuroscience. 11: 29
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