gchrupala / ursa

Neural representation analysis with representational similarity

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ursa

A toolkit for analysing neural activation patterns with representational similarity methods.

The methods which this toolkit implements were introduced in the paper:

  • Grzegorz Chrupała and Afra Alishahi. 2019. Correlating neural and symbolic representations of language. In Proceedings of ACL. https://arxiv.org/abs/1905.06401

In order to reproduce the results reported in this paper, and to see examples of how URSA was used, see correlating-neural-and-symbolic-representations-of-language.

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Neural representation analysis with representational similarity

License:Apache License 2.0


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