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Sam Yates authored
* Add new `isometry` class representing a direct Euclidean isometry comprising a rotation and translation. Translations are always taken with respect to absolute coordinates, but rotations are composed with respect to intrinsic coordinates.
* Add new `place_pwlin` class, that takes a morphology and an isometry, and answers location queries: where in space does a particular `mlocation` lie?
* Split out (some of) the common code between `place_pwlin` and `embed_pwlin`.
* Add equality operator to `mpoint`.

This functionality is added to aid the presentation of the local field potential example.
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Arbor Library

Arbor is a library for implementing performance portable network simulations of multi-compartment neuron models.

An installation guide and library documentation are available online at Read the Docs.

Submit a ticket if you have any questions or want help.

Citing Arbor

The Arbor software can be cited via Zenodo: DOI.

Previous versions of Arbor can be cited specifically:

  • Version 0.2: DOI
  • Version 0.1: DOI

The following BibTeX entry can be used to cite Arbor:

@INPROCEEDINGS{
    paper:arbor2019,
    author={N. A. {Akar} and B. {Cumming} and V. {Karakasis} and A. {Küsters} and W. {Klijn} and A. {Peyser} and S. {Yates}},
    booktitle={2019 27th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)},
    title={{Arbor --- A Morphologically-Detailed Neural Network Simulation Library for Contemporary High-Performance Computing Architectures}},
    year={2019}, month={feb}, volume={}, number={},
    pages={274--282},
    doi={10.1109/EMPDP.2019.8671560},
    ISSN={2377-5750}}

Alternative citation formats for the paper can be downloaded here, and a preprint is available at arXiv.