Content and cluster analysis: assessing representational similarity in neural systems

@inproceedings{Laakso2000ContentAC,
  title={Content and cluster analysis: assessing representational similarity in neural systems},
  author={Aarre Laakso and Garrison W. Cottrell},
  year={2000}
}
If connectionism is to be an adequate theory of mind, we must have a theory of representation for neural networks that allows for individual differences in weighting and architecture while preserving sameness, or at least similarity, of content. In this paper we propose a procedure for measuring sameness of content of neural representations. We argue that the correct way to compare neural representations is through analysis of the distances between neural activations, and we present a method… CONTINUE READING

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