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doi: 10.5281/zenodo.13312103 , 10.5281/zenodo.14276314 , 10.5281/zenodo.8046339 , 10.5281/zenodo.8046338 , 10.5281/zenodo.14615219 , 10.5281/zenodo.8046484 , 10.5281/zenodo.8069955 , 10.5281/zenodo.8113789 , 10.5281/zenodo.8047195 , 10.5281/zenodo.14615557 , 10.5281/zenodo.8069598 , 10.5281/zenodo.8139060 , 10.5281/zenodo.13881962 , 10.5281/zenodo.8108614 , 10.5281/zenodo.8108615 , 10.5281/zenodo.8046373
doi: 10.5281/zenodo.13312103 , 10.5281/zenodo.14276314 , 10.5281/zenodo.8046339 , 10.5281/zenodo.8046338 , 10.5281/zenodo.14615219 , 10.5281/zenodo.8046484 , 10.5281/zenodo.8069955 , 10.5281/zenodo.8113789 , 10.5281/zenodo.8047195 , 10.5281/zenodo.14615557 , 10.5281/zenodo.8069598 , 10.5281/zenodo.8139060 , 10.5281/zenodo.13881962 , 10.5281/zenodo.8108614 , 10.5281/zenodo.8108615 , 10.5281/zenodo.8046373
Currentscape is a Python tool enabling scientists to easily plot the currents in electrical neuron models. The code is based on the paper Alonso and Marder, 2019. Currentscape figures plot the percentage of inward and outward ionic membrane currents, the total inward and outward currents, as well as the voltage in function of time. It allows modellers to see which currents play a role at any given time during a simulation, and check in depth the current dynamics.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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