arbor-doc Subpackage of arbor

Arbor is a high-performance library for Computational Neuroscience simulations. Some key features include: - Asynchronous spike exchange that overlaps compute and communication. - Efficient sampling of voltage and current on all back ends. - Efficient implementation of all features on GPU. - Reporting of memory and energy consumption (when available on platform). - An API for addition of new cell types, e.g. LIF and Poisson spike generators. - Validation tests against numeric/analytic models and NEURON. Documentation is available at https://arbor.readthedocs.io/en/latest/

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