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Isaac Meilijson: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Ranit Aharonov, Isaac Meilijson, Eytan Ruppin
    Understanding the Agent's Brain: A Quantitative Approach. [Citation Graph (0, 0)][DBLP]
    ECAL, 2001, pp:216-225 [Conf]
  2. Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Ruppin
    Evolution of Reinforcement Learning in Uncertain Environments: Emergence of Risk-Aversion and Matching. [Citation Graph (0, 0)][DBLP]
    ECAL, 2001, pp:252-261 [Conf]
  3. Ranit Aharonov-Barki, Isaac Meilijson, Eytan Ruppin
    Who Does What? A Novel Algorithm to Determine Function Localization. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:3-9 [Conf]
  4. Gal Chechik, Isaac Meilijson, Eytan Ruppin
    Neuronal Regulation Implements Efficient Synaptic Pruning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:97-103 [Conf]
  5. Gal Chechik, Isaac Meilijson, Eytan Ruppin
    Effective Learning Requires Neuronal Remodeling of Hebbian Synapses. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:96-102 [Conf]
  6. David Horn, Nir Levy, Isaac Meilijson, Eytan Ruppin
    Distributed Synchrony of Spiking Neurons in a Hebbian Cell Assembly. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:129-135 [Conf]
  7. Isaac Meilijson, Eytan Ruppin
    History-Dependent Attractor Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:572-579 [Conf]
  8. Isaac Meilijson, Eytan Ruppin
    Optimal Signalling in Attractor Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:485-492 [Conf]
  9. Isaac Meilijson, Eytan Ruppin, Moshe Sipper
    Single-Iteration Threshold Hamming Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:564-571 [Conf]
  10. Lior Segev, Ranit Aharonov, Isaac Meilijson, Eytan Ruppin
    High-Dimensional Analysis of Evolutionary Autonomous Agents. [Citation Graph (0, 0)][DBLP]
    Artificial Life, 2003, v:9, n:1, pp:1-20 [Journal]
  11. Gal Chechik, Isaac Meilijson, Eytan Ruppin
    Neuronal normalization provides effective learning through ineffective synaptic learning rules. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2000, v:32, n:, pp:345-351 [Journal]
  12. Gal Chechik, Isaac Meilijson, Eytan Ruppin
    Neuronal regulation: A biologically plausible mechanism for efficient synaptic pruning in development. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1999, v:26, n:, pp:633-639 [Journal]
  13. Alon Keinan, Claus C. Hilgetag, Isaac Meilijson, Eytan Ruppin
    Causal localization of neural function: the Shapley value method. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:58, n:, pp:215-222 [Journal]
  14. Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Ruppin
    Evolution of reinforcement learning in foraging bees: a simple explanation for risk averse behavior. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:44, n:, pp:951-956 [Journal]
  15. Ranit Aharonov, Lior Segev, Isaac Meilijson, Eytan Ruppin
    Localization of Function via Lesion Analysis. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2003, v:15, n:4, pp:885-913 [Journal]
  16. Gal Chechik, Isaac Meilijson, Eytan Ruppin
    Effective Neuronal Learning with Ineffective Hebbian Learning Rules. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2001, v:13, n:4, pp:817-840 [Journal]
  17. Gal Chechik, Isaac Meilijson, Eytan Ruppin
    Synaptic Pruning In Development: A Computational Account. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1998, v:10, n:7, pp:1759-1777 [Journal]
  18. Gal Chechik, Isaac Meilijson, Eytan Ruppin
    Neuronal Regulation: A Mechanism for Synaptic Pruning During Brain Maturation. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1999, v:11, n:8, pp:2061-2080 [Journal]
  19. Alon Keinan, Ben Sandbank, Claus C. Hilgetag, Isaac Meilijson, Eytan Ruppin
    Fair Attribution of Functional Contribution in Artificial and Biological Networks. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2004, v:16, n:9, pp:1887-1915 [Journal]
  20. Nir Levy, David Horn, Isaac Meilijson, Eytan Ruppin
    Distributed synchrony in a cell assembly of spiking neurons. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2001, v:14, n:6-7, pp:815-824 [Journal]

  21. Axiomatic Scalable Neurocontroller Analysis via the Shapley Value. [Citation Graph (, )][DBLP]


  22. Optimal firing in sparsely-connected low-activity attractor networks. [Citation Graph (, )][DBLP]


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