NESTML: a modeling language for spiking neurons
Abstract
Biological nervous systems exhibit astonishing complexity .Neuroscientists aim to capture this com- plexity by modeling and simulation of biological processes. Often very comple xm odels are nec- essary to depict the processes, which makes it dif fi cult to create these models. Powerful tools are thus necessary ,which enable neuroscientists to express models in acomprehensi ve and concise way and generate ef fi cient code for digital simulations. Se veral modeling languages for computational neuroscience ha ve been proposed [Gl10, Ra11]. Howe ver, as these languages seek simulator inde- pendence the ytypically only support asubset of the features desired by the modeler .Int his article, we present the modular and extensible domain speci fi cl anguage NESTML, which provides neuro- science domain concepts as fi rst-class language constructs and supports domain experts in creating neuron models for the neural simulation tool NEST .N ESTML and aset of example models are publically available on GitHub.
Cite
@article{arxiv.1606.02882,
title = {NESTML: a modeling language for spiking neurons},
author = {Dimitri Plotnikov and Bernhard Rumpe and Inga Blundell and Tammo Ippen and Jochen Martin Eppler and Abgail Morrison},
journal= {arXiv preprint arXiv:1606.02882},
year = {2016}
}
Comments
16 pages, 5 figures, Modellierung 2016 Conference