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Connection

Hava Siegelmann to Animals

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

0.106
  1. Tal A, Peled N, Siegelmann HT. Biologically inspired load balancing mechanism in neocortical competitive learning. Front Neural Circuits. 2014; 8:18.
    View in: PubMed
    Score: 0.031
  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: 0.024
  3. Leise T, Siegelmann H. Dynamics of a multistage circadian system. J Biol Rhythms. 2006 Aug; 21(4):314-23.
    View in: PubMed
    Score: 0.018
  4. Hayes TL, Krishnan GP, Bazhenov M, Siegelmann HT, Sejnowski TJ, Kanan C. Replay in Deep Learning: Current Approaches and Missing Biological Elements. Neural Comput. 2021 10 12; 33(11):2908-2950.
    View in: PubMed
    Score: 0.013
  5. McGuire SH, Rietman EA, Siegelmann H, Tuszynski JA. Gibbs free energy as a measure of complexity correlates with time within C. elegans embryonic development. J Biol Phys. 2017 Dec; 43(4):551-563.
    View in: PubMed
    Score: 0.010
  6. Pietrzykowski AZ, Friesen RM, Martin GE, Puig SI, Nowak CL, Wynne PM, Siegelmann HT, Treistman SN. Posttranscriptional regulation of BK channel splice variant stability by miR-9 underlies neuroadaptation to alcohol. Neuron. 2008 Jul 31; 59(2):274-87.
    View in: PubMed
    Score: 0.005
  7. Lu S, Becker KA, Hagen MJ, Yan H, Roberts AL, Mathews LA, Schneider SS, Siegelmann HT, MacBeth KJ, Tirrell SM, Blanchard JL, Jerry DJ. Transcriptional responses to estrogen and progesterone in mammary gland identify networks regulating p53 activity. Endocrinology. 2008 Oct; 149(10):4809-20.
    View in: PubMed
    Score: 0.005
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.