Jay S. Coggan, PhD
Affiliations: | NeuroLinx Res Inst |
Area:
Biophysics, axons, synapses, metabolismGoogle:
"Jay Coggan"Mean distance: 11.75 (cluster 6) | S | N | B | C | P |
Parents
Sign in to add mentor| David L. Kreulen | grad student | University of Arizona at Tucson | |
| Darwin K. Berg | post-doc | UCSD | |
| Jeff W. Lichtman | post-doc | Washington University School of Medicine in St. Louis | |
| Charles F. Stevens | post-doc | HHMI/Salk | |
| Stuart H. Thompson | post-doc | Stanford University, Hopkins Marine Station | |
| Pierre J. Magistretti | research scientist | EPFL-Brain Mind Institute | |
| Henry Markram | research scientist | EPFL / Blue Brain Project | |
| Terrence J. Sejnowski | research scientist | Salk Institute |
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Publications
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| Shichkova P, Coggan JS, Markram H, et al. (2024) Brain Metabolism in Health and Neurodegeneration: The Interplay Among Neurons and Astrocytes. Cells. 13 |
| Abdellah M, Cantero JJG, Guerrero NR, et al. (2022) Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for in silico neuroscience. Briefings in Bioinformatics |
| Coggan JS, Keller D, Markram H, et al. (2022) Representing stimulus information in an energy metabolism pathway. Journal of Theoretical Biology. 540: 111090 |
| Shichkova P, Coggan JS, Markram H, et al. (2021) A Standardized Brain Molecular Atlas: A Resource for Systems Modeling and Simulation. Frontiers in Molecular Neuroscience. 14: 604559 |
| 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 |
| 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 |
| 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 |
| 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 |
| Coggan JS, Calì C, Keller D, et al. (2018) A Process for Digitizing and Simulating Biologically Realistic Oligocellular Networks Demonstrated for the Neuro-Glio-Vascular Ensemble. Frontiers in Neuroscience. 12: 664 |
| Coggan JS, Keller D, Calì C, et al. (2018) Norepinephrine stimulates glycogenolysis in astrocytes to fuel neurons with lactate. Plos Computational Biology. 14: e1006392 |