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Connection

Hava Siegelmann to Models, Biological

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

1.145
  1. Siegelmann HT. Turing on Super-Turing and adaptivity. Prog Biophys Mol Biol. 2013 Sep; 113(1):117-26.
    View in: PubMed
    Score: 0.289
  2. Glass L, Siegelmann HT. Logical and symbolic analysis of robust biological dynamics. Curr Opin Genet Dev. 2010 Dec; 20(6):644-9.
    View in: PubMed
    Score: 0.244
  3. Olsen M, Siegelmann-Danieli N, Siegelmann HT. Dynamic computational model suggests that cellular citizenship is fundamental for selective tumor apoptosis. PLoS One. 2010 May 13; 5(5):e10637.
    View in: PubMed
    Score: 0.236
  4. Leise T, Siegelmann H. Dynamics of a multistage circadian system. J Biol Rhythms. 2006 Aug; 21(4):314-23.
    View in: PubMed
    Score: 0.182
  5. Taylor P, Hobbs JN, Burroni J, Siegelmann HT. The global landscape of cognition: hierarchical aggregation as an organizational principle of human cortical networks and functions. Sci Rep. 2015 Dec 16; 5:18112.
    View in: PubMed
    Score: 0.087
  6. Siegelmann HT, Holzman LE. Neuronal integration of dynamic sources: Bayesian learning and Bayesian inference. Chaos. 2010 Sep; 20(3):037112.
    View in: PubMed
    Score: 0.060
  7. Roth F, Siegelmann H, Douglas RJ. The self-construction and -repair of a foraging organism by explicitly specified development from a single cell. Artif Life. 2007; 13(4):347-68.
    View in: PubMed
    Score: 0.047
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.