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Connection

Hava Siegelmann to Humans

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

0.279
  1. Patel D, Sejnowski T, Siegelmann H. Optimizing Attention and Cognitive Control Costs Using Temporally Layered Architectures. Neural Comput. 2024 11 19; 36(12):2734-2763.
    View in: PubMed
    Score: 0.035
  2. Patel D, Siegelmann HT. Navigating the unknown: Leveraging self-information and diversity in partially observable environments. Biochem Biophys Res Commun. 2024 12 31; 741:150923.
    View in: PubMed
    Score: 0.035
  3. Siegelmann R, Siegelmann HT. Meta-Analytic Operation of Threshold-independent Filtering (MOTiF) reveals sub-threshold genomic robustness in trisomy: The J?rmungandr Effect. Biochem Biophys Res Commun. 2024 12 10; 737:150802.
    View in: PubMed
    Score: 0.035
  4. Amgalan A, Taylor P, Mujica-Parodi LR, Siegelmann HT. Unique scales preserve self-similar integrate-and-fire functionality of neuronal clusters. Sci Rep. 2021 03 05; 11(1):5331.
    View in: PubMed
    Score: 0.027
  5. Shifrin M, Siegelmann H. Near-optimal insulin treatment for diabetes patients: A machine learning approach. Artif Intell Med. 2020 07; 107:101917.
    View in: PubMed
    Score: 0.026
  6. 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: 0.019
  7. Nowicki D, Verga P, Siegelmann H. Modeling reconsolidation in kernel associative memory. PLoS One. 2013; 8(8):e68189.
    View in: PubMed
    Score: 0.016
  8. 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: 0.013
  9. Siegelmann HT, Holzman LE. Neuronal integration of dynamic sources: Bayesian learning and Bayesian inference. Chaos. 2010 Sep; 20(3):037112.
    View in: PubMed
    Score: 0.013
  10. 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: 0.013
  11. Leise T, Siegelmann H. Dynamics of a multistage circadian system. J Biol Rhythms. 2006 Aug; 21(4):314-23.
    View in: PubMed
    Score: 0.010
  12. Rietman EA, Siegelmann HT, Klement GL, Tuszynski JA. Gibbs Energy and Gene Expression Combined as a New Technique for Selecting Drug Targets for Inhibiting Specific Protein-Protein Interactions. Int J Mol Sci. 2023 Sep 27; 24(19).
    View in: PubMed
    Score: 0.008
  13. Abookasis D, Shemesh D, Litwin A, Siegelmann HT, Didkovsky E, Ad-El DD. Single probe light reflectance spectroscopy and parameter spectrum feature extraction in experimental skin cancer detection and classification. J Biophotonics. 2023 08; 16(8):e202300001.
    View in: PubMed
    Score: 0.008
  14. Tsuda B, Tye KM, Siegelmann HT, Sejnowski TJ. A modeling framework for adaptive lifelong learning with transfer and savings through gating in the prefrontal cortex. Proc Natl Acad Sci U S A. 2020 11 24; 117(47):29872-29882.
    View in: PubMed
    Score: 0.007
  15. Rietman EA, Taylor S, Siegelmann HT, Deriu MA, Cavaglia M, Tuszynski JA. Using the Gibbs Function as a Measure of Human Brain Development Trends from Fetal Stage to Advanced Age. Int J Mol Sci. 2020 Feb 07; 21(3).
    View in: PubMed
    Score: 0.006
  16. 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: 0.003
  17. 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: 0.003
  18. Eldar S, Siegelmann HT, Buzaglo D, Matter I, Cohen A, Sabo E, Abrahamson J. Conversion of laparoscopic cholecystectomy to open cholecystectomy in acute cholecystitis: artificial neural networks improve the prediction of conversion. World J Surg. 2002 Jan; 26(1):79-85.
    View in: PubMed
    Score: 0.002
  19. Lange DH, Siegelmann HT, Pratt H, Inbar GF. Overcoming selective ensemble averaging: unsupervised identification of event-related brain potentials. IEEE Trans Biomed Eng. 2000 Jun; 47(6):822-6.
    View in: PubMed
    Score: 0.002
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.