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Haim Sompolinsky: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. H. Sebastian Seung, Manfred Opper, Haim Sompolinsky
    Query by Committee. [Citation Graph (0, 0)][DBLP]
    COLT, 1992, pp:287-294 [Conf]
  2. H. Sebastian Seung, Haim Sompolinsky, Naftali Tishby
    Learning Curves in Large Neural Networks. [Citation Graph (0, 0)][DBLP]
    COLT, 1991, pp:112-127 [Conf]
  3. N. Barkai, H. Sebastian Seung, Haim Sompolinsky
    On-line Learning of Dichotomies. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:303-310 [Conf]
  4. Iris Ginzburg, Haim Sompolinsky
    Correlation Functions in a Large Stochastic Network. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:471-476 [Conf]
  5. Daniel D. Lee, Uri Rokni, Haim Sompolinsky
    Algorithms for Independent Components Analysis and Higher Order Statistics. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:491-497 [Conf]
  6. Daniel D. Lee, Haim Sompolinsky
    Learning a Continuous Hidden Variable Model for Binary Data. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:515-521 [Conf]
  7. Oren Shriki, Haim Sompolinsky, Daniel D. Lee
    An Information Maximization Approach to Overcomplete and Recurrent Representations. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:612-618 [Conf]
  8. Maoz Shamir, Haim Sompolinsky
    Correlation Codes in Neuronal Populations. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:277-284 [Conf]
  9. Hyoungsoo Yoon, Haim Sompolinsky
    The Effect of Correlations on the Fisher Information of Population Codes. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:167-173 [Conf]
  10. Haim Sompolinsky, Michail Tsodyks
    Processing of Sensory Information by a Network of Oscillators with Memory. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1992, v:3, n:Supplement, pp:51-56 [Journal]
  11. Rani Ben-Yishai, David Hansel, Haim Sompolinsky
    Traveling Waves and the Processing of Weakly Tuned Inputs in a Cortical Network Module. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Neuroscience, 1997, v:4, n:1, pp:57-77 [Journal]
  12. Germán Mato, Haim Sompolinsky
    Neural network models of perceptual learning of angle discrimination. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1996, v:8, n:2, pp:270-299 [Journal]
  13. Maoz Shamir, Haim Sompolinsky
    Nonlinear Population Codes. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2004, v:16, n:6, pp:1105-1136 [Journal]
  14. Maoz Shamir, Haim Sompolinsky
    Implications of Neuronal Diversity on Population Coding. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2006, v:18, n:8, pp:1951-1986 [Journal]
  15. Oren Shriki, David Hansel, Haim Sompolinsky
    Rate Models for Conductance-Based Cortical Neuronal Networks. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2003, v:15, n:8, pp:1809-1841 [Journal]
  16. Carl van Vreeswijk, Haim Sompolinsky
    Chaotic Balanced State in a Model Of Cortical Circuits. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1998, v:10, n:6, pp:1321-1371 [Journal]

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