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. 2018 Jun 15;17(1):63–81. doi: 10.1007/s12021-018-9383-z

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© The Author(s) 2018

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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Fig. 2 — The Axon-class is the central object of PyPNS’s internal information flow. Together with its associated ExcitationMechanism s it defines the NEURON simulation. Extracellular-objects allow the calculation of extracellular potentials given current i(t), source position s and receiver position r. They are used by both StimField for extracellular stimulation and by RecordingMechanism for recording. All classes are managed in the Bundle-class and supported by helper modules spikeTrainGeneration, signalGeneration and createGeometry.