Abstract
Computer modeling is becoming an increasingly valuable tool
in the study of the complex interactions underlying the
behavior of the brain. Software applications have been
developed which make it easier to create models of neural
networks as well as detailed models which replicate the
electrical activity of individual neurons. The code formats
used by each of these applications are generally incompatible
however, making it difficult to exchange models and ideas
between researchers. Here we present the structure of a
neuronal model description language, NeuroML. This provides
a way to express these complex models in a common format based
on the underlying physiology, allowing them to be mapped to
multiple applications. We have tested this language by
converting published neuronal models to NeuroML format and
comparing their behavior on a number of commonly used
simulators. Creating a common, accessible model description
format will expose more of the model details to the wider
neuroscience community, thus increasing their quality and
reliability, as for other Open Source software. NeuroML will
also allow a greater
“ecosystem” of tools to
be developed for building, simulating and analyzing these
complex neuronal systems.
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