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Connection

Hava Siegelmann to Learning

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

1.100
  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: 0.395
  2. Siegelmann HT, Holzman LE. Neuronal integration of dynamic sources: Bayesian learning and Bayesian inference. Chaos. 2010 Sep; 20(3):037112.
    View in: PubMed
    Score: 0.309
  3. 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: 0.207
  4. 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: 0.157
  5. Thivierge JP, Minai A, Siegelmann H, Alippi C, Geourgiopoulos M. A year of neural network research: special issue on the 2011 International Joint Conference on Neural Networks. Neural Netw. 2012 Aug; 32:1-2.
    View in: PubMed
    Score: 0.022
  6. 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: 0.010
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.