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

Figure 3

XML structure of a ChannelML file and mappings to text and graphs.

(A) A ChannelML file containing a Hodgkin-Huxley type K+ conductance model, with four instances of a gating mechanism with open and closed states, and the rates of transitions between them. Supporting Text S1 contains a description of each of the elements contained in this file, and section 10.2 of that document outlines in more detail the equations behind a channel model expressed in ChannelML. (B) A section of a HTML page automatically generated from the ChannelML using an XML Stylesheet (XSL) file. (C) Top: plots of the forward (alpha, black) and reverse (beta, red) transition rates. Bottom: the time constant (tau) of the transition (black) and steady state of the gating variable (inf, red). These views of the contents of the ChannelML file can be generated automatically (e.g. by neuroConstruct) for any valid file.

Figure 3

doi: https://doi.org/10.1371/journal.pcbi.1000815.g003