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William B. Levy: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Ali A. Minai, William B. Levy
    Predicting Complex Behavior in Sparse Asymmetric Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:556-563 [Conf]
  2. William B. Levy, A. Sanyal, Xiangbao Wu, Paul Rodriguez, David W. Sullivan
    The formation of neural codes in the hippocampus: trace conditioning as a prototypical paradigm for studying the random recoding hypothesis. [Citation Graph (0, 0)][DBLP]
    Biological Cybernetics, 2005, v:92, n:6, pp:409-426 [Journal]
  3. Patrick Crotty, William B. Levy
    Energy-efficient interspike interval codes. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:65, n:, pp:371-378 [Journal]
  4. Ashlie B. Hocking, William B. Levy
    Computing conditional probabilities in a minimal CA3 pyramidal neuron. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:65, n:, pp:297-303 [Journal]
  5. William B. Levy
    Contrasting rules for synaptogenesis, modification of existing synapses, and synaptic removal as a function of neuronal computation. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:58, n:, pp:343-350 [Journal]
  6. William B. Levy, Xiangbao Wu, Anthony J. Greene, Barbara A. Spellman
    A source of individual variation. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2003, v:52, n:, pp:165-168 [Journal]
  7. Sean Polyn, Xiangbao Wu, William B. Levy
    Entorhinal/dentate excitation of CA3: A critical variable in hippocampal models. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2000, v:32, n:, pp:493-499 [Journal]
  8. Sean Polyn, William B. Levy
    Dynamic control of inhibition improves performance of a hippocampal model. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2001, v:38, n:, pp:823-829 [Journal]
  9. Xiangbao Wu, William B. Levy
    Simulating symbolic distance effects in the transitive inference problem. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2001, v:38, n:, pp:1603-1610 [Journal]
  10. Xiangbao Wu, William B. Levy
    Simulating the transverse non-patterning problem. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:44, n:, pp:1029-1034 [Journal]
  11. Xiangbao Wu, William B. Levy
    Erratum to 'Increasing CS and US longevity increases the learnable trace interval' by X. Wu and W.B. Levy: [Neurocomputing 65-66 (2005) 283-289]. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:68, n:, pp:322- [Journal]
  12. Xiangbao Wu, William B. Levy
    Enhancing the performance of a hippocampal model by increasing variability early in learning. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1999, v:26, n:, pp:601-607 [Journal]
  13. Aaron P. Shon, Xiangbao Wu, William B. Levy
    Using computational simulations to discover optimal training paradigms. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2000, v:32, n:, pp:995-1002 [Journal]
  14. David W. Sullivan, William B. Levy
    Quantal synaptic failures improve performance in a sequence learning model of hippocampal CA3. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2003, v:52, n:, pp:397-401 [Journal]
  15. David W. Sullivan, William B. Levy
    Activity affects trace conditioning performance in a minimal hippocampal model. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:65, n:, pp:315-321 [Journal]
  16. Joanna Tyrcha, William B. Levy
    Another contribution by synaptic failures to energy efficient processing by neurons. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:58, n:, pp:59-66 [Journal]
  17. Xiangbao Wu, William B. Levy
    Increasing CS and US longevity increases the learnable trace interval. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:65, n:, pp:283-289 [Journal]
  18. Patrick Crotty, William B. Levy
    Intersymbol interference in axonal transmission. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:10-12, pp:1006-1009 [Journal]
  19. Xiangbao Wu, William B. Levy
    Decision functions that can support a hippocampal model. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:10-12, pp:1238-1243 [Journal]
  20. Ashlie B. Hocking, William B. Levy
    Gamma oscillations in a minimal CA3 model. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:10-12, pp:1244-1248 [Journal]
  21. William B. Levy, Xiangbao Wu
    External activity and the freedom to recode. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:10-12, pp:1233-1237 [Journal]
  22. D. A. August, William B. Levy
    Temporal Sequence Compression by an Integrate-and-Fire Model of Hippocampal Area CA3. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Neuroscience, 1999, v:6, n:1, pp:71-90 [Journal]
  23. Asohan Amarasingham, William B. Levy
    Predicting the Distribution of Synaptic Strengths in a Self-Organizing, Sequence Prediction Model. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1998, v:10, n:1, pp:25-58 [Journal]
  24. D. A. August, William B. Levy
    A simple spike train decoder inspired by the sampling theorem. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1996, v:8, n:1, pp:67-84 [Journal]
  25. William B. Levy, Rohan A. Baxter
    Energy efficient neural codes. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1996, v:8, n:3, pp:531-543 [Journal]
  26. William B. Levy, Ashlie B. Hocking, Xiangbao Wu
    Interpreting hippocampal function as recoding and forecasting. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2005, v:18, n:9, pp:1242-1264 [Journal]
  27. William B. Levy, Ashlie B. Hocking, Xiangbao Wu
    Erratum to: Interpreting hippocampal function as recoding and forecasting [Neural Networks 18 (9) 1242-1264]. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:2, pp:248- [Journal]
  28. Paul Rodriguez, William B. Levy
    Configural representations in transverse patterning with a hippocampal model. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2004, v:17, n:2, pp:175-190 [Journal]
  29. William B. Levy, Hakan Deliç
    Maximum entropy aggregation of individual opinions. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, 1994, v:24, n:4, pp:606-613 [Journal]
  30. Danielle Morel, William B. Levy
    Persistent sodium is a better linearizing mechanism than the hyperpolarization-activated current. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:10-12, pp:1635-1639 [Journal]
  31. Patrick Crotty, William B. Levy
    Effects of Na+ channel inactivation kinetics on metabolic energy costs of action potentials. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:10-12, pp:1652-1656 [Journal]
  32. Ashlie B. Hocking, William B. Levy
    Theta-modulated input reduces intrinsic gamma oscillations in a hippocampal model. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:10-12, pp:2074-2078 [Journal]

  33. The statistical relationship between connectivity and neural activity in fractionally connected feed-forward networks. [Citation Graph (, )][DBLP]


  34. A neural network solution to the transverse patterning problem depends on repetition of the input code. [Citation Graph (, )][DBLP]


  35. Context codes and the effect of noisy learning on a simplified hippocampal CA3 model. [Citation Graph (, )][DBLP]


  36. The influence of limited presynaptic growth and synapse removal on adaptive synaptogenesis. [Citation Graph (, )][DBLP]


  37. Adaptive synaptogenesis constructs networks that maintain information and reduce statistical dependence. [Citation Graph (, )][DBLP]


  38. The dynamics of sparse random networks. [Citation Graph (, )][DBLP]


  39. Information maintenance and statistical dependence reduction in simple neural networks. [Citation Graph (, )][DBLP]


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