Jay S. Coggan, PhD

NeuroLinx Res Inst 
Biophysics, axons, synapses, metabolism
"Jay Coggan"
Mean distance: 11.75 (cluster 6)
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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
Coggan JS, Bittner S, Stiefel KM, et al. (2015) Physiological Dynamics in Demyelinating Diseases: Unraveling Complex Relationships through Computer Modeling. International Journal of Molecular Sciences. 16: 21215-36
Coggan JS, Sejnowski TJ, Prescott SA. (2015) Cooperativity between remote sites of ectopic spiking allows afterdischarge to be initiated and maintained at different locations. Journal of Computational Neuroscience. 39: 17-28
Jolivet R, Coggan JS, Allaman I, et al. (2015) Multi-timescale modeling of activity-dependent metabolic coupling in the neuron-glia-vasculature ensemble. Plos Computational Biology. 11: e1004036
Stiefel KM, Torben-Nielsen B, Coggan JS. (2013) Proposed evolutionary changes in the role of myelin. Frontiers in Neuroscience. 7: 202
Coggan JS, Ocker GK, Sejnowski TJ, et al. (2011) Explaining pathological changes in axonal excitability through dynamical analysis of conductance-based models. Journal of Neural Engineering. 8: 065002
Coggan JS, Prescott SA, Bartol TM, et al. (2010) Imbalance of ionic conductances contributes to diverse symptoms of demyelination. Proceedings of the National Academy of Sciences of the United States of America. 107: 20602-9
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