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Arbor: High-performance library for computational neuroscience simulations

2 pointsby takiwatangaabout 3 years ago

1 comment

takiwatangaabout 3 years ago
&quot;Arbor is a portable, high-performance library for computational neuroscience simulations with multi-compartment, morphologically-detailed cells, ranging from single cell models to very large networks. Optimisations make Arbor an order of magnitude faster than the most widely-used comparable simulation software. Download Arbor as a C++ library and integrate it in your own program, or install it as a Python library (through pip) and import in any Python script.&quot;<p>Source: <a href="https:&#x2F;&#x2F;github.com&#x2F;arbor-sim&#x2F;arbor" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;arbor-sim&#x2F;arbor</a>