12 lines
694 B
Plaintext
12 lines
694 B
Plaintext
DANA (Distributed (asynchronous) Numerical and Adaptive computing) is a python
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computing framework based on numpy and scipy libraries whose primary goals
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relate to computational neuroscience and artificial neural networks. However,
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this framework can be used in several different areas like physic simulations,
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cellular automata or image processing.
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The computational paradigm supporting the DANA framework is grounded on the
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notion of a unit that is a set of arbitrary values that can vary along time
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under the influence of other units and learning. Each unit can be linked to any
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other unit (including itself) using a weighted link and a group is a structured
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set of such homogeneous units.
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