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Connection

Hava Siegelmann to Neuronal Plasticity

This is a "connection" page, showing publications Hava Siegelmann has written about Neuronal Plasticity.
Connection Strength

0.739
  1. Cabessa J, Siegelmann HT. The super-Turing computational power of plastic recurrent neural networks. Int J Neural Syst. 2014 Dec; 24(8):1450029.
    View in: PubMed
    Score: 0.419
  2. Saunders DJ, Patel D, Hazan H, Siegelmann HT, Kozma R. Locally connected spiking neural networks for unsupervised feature learning. Neural Netw. 2019 Nov; 119:332-340.
    View in: PubMed
    Score: 0.146
  3. Nowicki D, Verga P, Siegelmann H. Modeling reconsolidation in kernel associative memory. PLoS One. 2013; 8(8):e68189.
    View in: PubMed
    Score: 0.096
  4. Nowicki D, Siegelmann H. Flexible kernel memory. PLoS One. 2010 Jun 11; 5(6):e10955.
    View in: PubMed
    Score: 0.077
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.