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NeuroML: A Language for Describing Data Driven Models of Neurons and Networks with a High Degree of Biological Detail

Figure 7

CA1 pyramidal cell model with non-uniform active conductances (based on Migliore et al.[2]).

(A) Top: cell morphology visualized in neuroConstruct with color scale showing the density of h-type (HCN) channels (yellow lower, red higher). Bottom: voltage traces (in response to a current pulse input at the soma) at 5 different locations in the cell after execution on NEURON (gray), GENESIS (red), MOOSE (blue) and PSICS (green). (B) Voltage map of same cell executed on the NEURON simulator (top) and membrane potential traces (bottom) for the axon (black), soma (yellow) and 3 locations (green, blue, red) at increasing distances along the dendritic tree. (C) Recompartmentalized morphology visualized and run in GENESIS (top) with membrane potential traces (bottom, colors as for panel (B)). (D) Cell morphology visualized in PSICS using the ICING application (http://psics.org/icing, top). Inset shows a small section of dendrite and the locations of the individual ion channels. Membrane potential traces obtained with PSICS below, with colors as for panel (B). MOOSE does not have a native graphical interface at present. The simulation time step in all cases was 0.002 ms, and spatial discretisation is described in Materials and Methods.

Figure 7

doi: https://doi.org/10.1371/journal.pcbi.1000815.g007