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Eytan Ruppin: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Vered Kunik, Zach Solan, Shimon Edelman, Eytan Ruppin, David Horn
    Motif Extraction and Protein Classification. [Citation Graph (0, 0)][DBLP]
    CSB, 2005, pp:80-85 [Conf]
  2. Alon Kaufman, Martin Kupiec, Eytan Ruppin
    Multi-Knockout Genetic Network Analysis: The Rad6 Example. [Citation Graph (0, 0)][DBLP]
    CSB, 2004, pp:332-340 [Conf]
  3. Ranit Aharonov-Barki, Tuvik Beker, Eytan Ruppin
    Spontaneous Evolution of Command Neurons, Place Cells and Memory Mechanisms in Autonomous Agents. [Citation Graph (0, 0)][DBLP]
    ECAL, 1999, pp:246-255 [Conf]
  4. 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]
  5. Hezi Avraham, Gal Chechik, Eytan Ruppin
    Are There Representations in Embodied Evolved Agents? Taking Measures. [Citation Graph (0, 0)][DBLP]
    ECAL, 2003, pp:743-752 [Conf]
  6. Zohar Ganon, Alon Keinan, Eytan Ruppin
    Evolutionary Network Minimization: Adaptive Implicit Pruning of Successful Agents. [Citation Graph (0, 0)][DBLP]
    ECAL, 2003, pp:319-327 [Conf]
  7. 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]
  8. Keren Saggie, Alon Keinan, Eytan Ruppin
    Solving a Delayed Response Task with Spiking. [Citation Graph (0, 0)][DBLP]
    ECAL, 2003, pp:199-208 [Conf]
  9. Moshe Sipper, Eytan Ruppin
    Co-Evolving Cellular Architectures by Cellular Programming. [Citation Graph (0, 0)][DBLP]
    International Conference on Evolutionary Computation, 1996, pp:306-311 [Conf]
  10. Shay Cohen, Eytan Ruppin, Gideon Dror
    Feature Selection Based on the Shapley Value. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2005, pp:665-670 [Conf]
  11. Nir Yosef, Alon Kaufman, Eytan Ruppin
    Inferring Functional Pathways from Multi-Perturbation Data. [Citation Graph (0, 0)][DBLP]
    ISMB (Supplement of Bioinformatics), 2006, pp:539-546 [Conf]
  12. 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]
  13. Gal Chechik, Isaac Meilijson, Eytan Ruppin
    Neuronal Regulation Implements Efficient Synaptic Pruning. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:97-103 [Conf]
  14. 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]
  15. Eyal Cohen, Eytan Ruppin
    On Parallel versus Serial Processing: A Computational Study of Visual Search. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  16. 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]
  17. Nir Levy, David Horn, Eytan Ruppin
    Multi-modular Associative Memory. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  18. Isaac Meilijson, Eytan Ruppin
    History-Dependent Attractor Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:572-579 [Conf]
  19. Isaac Meilijson, Eytan Ruppin
    Optimal Signalling in Attractor Neural Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:485-492 [Conf]
  20. Isaac Meilijson, Eytan Ruppin, Moshe Sipper
    Single-Iteration Threshold Hamming Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:564-571 [Conf]
  21. Eytan Ruppin, James A. Reggia
    Patterns of damage in neural networks: The effects of lesion area, shape and number. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:35-42 [Conf]
  22. Eytan Ruppin, James A. Reggia, David Horn
    A Neural Model of Delusions and Hallucinations in Schizophrenia. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:149-156 [Conf]
  23. Eytan Ruppin, Yehezkel Yeshurun
    An Attractor Neural Network Model of Recall and Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 1990, pp:642-648 [Conf]
  24. Zach Solan, David Horn, Eytan Ruppin, Shimon Edelman
    Unsupervised Context Sensitive Language Acquisition from a Large Corpus. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  25. Zach Solan, Eytan Ruppin, David Horn, Shimon Edelman
    Automatic Acquisition and Efficient Representation of Syntactic Structures. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:91-98 [Conf]
  26. Banu Dost, Tomer Shlomi, Nitin Gupta 0002, Eytan Ruppin, Vineet Bafna, Roded Sharan
    QNet: A Tool for Querying Protein Interaction Networks. [Citation Graph (0, 0)][DBLP]
    RECOMB, 2007, pp:1-15 [Conf]
  27. Oleg Rokhlenko, Tomer Shlomi, Roded Sharan, Eytan Ruppin, Ron Y. Pinter
    Flux-Based vs. Topology-Based Similarity of Metabolic Genes. [Citation Graph (0, 0)][DBLP]
    WABI, 2006, pp:274-285 [Conf]
  28. Lev Finkelstein, Evgeniy Gabrilovich, Yossi Matias, Ehud Rivlin, Zach Solan, Gadi Wolfman, Eytan Ruppin
    Placing search in context: the concept revisited. [Citation Graph (0, 0)][DBLP]
    WWW, 2001, pp:406-414 [Conf]
  29. Shlomy Boshy, Eytan Ruppin
    Evolving Small Neurocontrollers with Self-Organized Compact Encoding. [Citation Graph (0, 0)][DBLP]
    Artificial Life, 2003, v:9, n:2, pp:131-151 [Journal]
  30. 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]
  31. Eytan Ruppin, James A. Reggia
    Seeking order in disorder: computational studies of neurologic and psychiatric diseases. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 1998, v:13, n:1-2, pp:1-12 [Journal]
  32. Nir Yosef, Zohar Yakhini, Anya Tsalenko, Vessela Kristensen, Anne-Lise Børresen-Dale, Eytan Ruppin, Roded Sharan
    A supervised approach for identifying discriminating genotype patterns and its application to breast cancer data. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2007, v:23, n:2, pp:91-98 [Journal]
  33. Tomer Shlomi, Daniel Segal, Eytan Ruppin, Roded Sharan
    QPath: a method for querying pathways in a protein-protein interaction network. [Citation Graph (0, 0)][DBLP]
    BMC Bioinformatics, 2006, v:7, n:, pp:199- [Journal]
  34. Regev Levi, Eytan Ruppin, Yossi Matias, James A. Reggia
    Frequency-Spatial Transformation: A Proposal for Parsimonious Intra-Cortical Communication. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1996, v:7, n:5, pp:591-598 [Journal]
  35. Tuvik Beker, Ranit Aharonov, Eytan Ruppin
    Emerging command neuron circuitry in evolved autonomous agents. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2001, v:38, n:, pp:1101-1106 [Journal]
  36. Eyal Cohen, Nir Levy, Eytan Ruppin
    Global vs. local processing of compressed representations: A computational model of visual search. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2000, v:32, n:, pp:667-671 [Journal]
  37. 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]
  38. 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]
  39. David Horn, Nir Levy, Eytan Ruppin
    Distributed synchrony in an attractor of spiking neurons. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2000, v:32, n:, pp:409-414 [Journal]
  40. David Horn, Nir Levy, Eytan Ruppin
    The importance of nonlinear dendritic processing in multimodular memory networks. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1999, v:26, n:, pp:389-394 [Journal]
  41. 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]
  42. 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]
  43. Keren Saggie, Alon Keinan, Eytan Ruppin
    Spikes that count: rethinking spikiness in neurally embedded systems. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:58, n:, pp:303-311 [Journal]
  44. Ranit Aharonov-Barki, Tuvik Beker, Eytan Ruppin
    Emergence of Memory-Driven Command Neurons in Evolved Artificial Agents. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2001, v:13, n:3, pp:691-716 [Journal]
  45. 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]
  46. 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]
  47. 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]
  48. 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]
  49. Yael Eisenthal, Gideon Dror, Eytan Ruppin
    Facial Attractiveness: Beauty and the Machine. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2006, v:18, n:1, pp:119-142 [Journal]
  50. Asnat Greenstein-Messica, Eytan Ruppin
    Synaptic Runaway In Associative Networks And The Pathogenesis Of Schizophrenia. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1998, v:10, n:2, pp:451-465 [Journal]
  51. David Horn, Nir Levy, Eytan Ruppin
    Memory Maintenance via Neuronal Regulation. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1998, v:10, n:1, pp:1-18 [Journal]
  52. David Horn, Eytan Ruppin
    Compensatory mechanisms in an attractor neural network model of schizophrenia. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1995, v:7, n:, pp:182-205 [Journal]
  53. 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]
  54. Nir Levy, David Horn, Eytan Ruppin
    Associative Memory in a Multimodular Network. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1999, v:11, n:7, pp:1717-1737 [Journal]
  55. Eytan Ruppin, James A. Reggia
    Patterns of functional damage in neural network models of associative memory. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1995, v:7, n:5, pp:1105-1127 [Journal]
  56. Daphna Joel, Yael Niv, Eytan Ruppin
    Actor-critic models of the basal ganglia: new anatomical and computational perspectives. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2002, v:15, n:4-6, pp:535-547 [Journal]
  57. 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]
  58. Lev Finkelstein, Evgeniy Gabrilovich, Yossi Matias, Ehud Rivlin, Zach Solan, Gadi Wolfman, Eytan Ruppin
    Placing search in context: the concept revisited. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Inf. Syst., 2002, v:20, n:1, pp:116-131 [Journal]
  59. Amit Kagian, Gideon Dror, Tommer Leyvand, Daniel Cohen-Or, Eytan Ruppin
    A Humanlike Predictor of Facial Attractiveness. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:649-656 [Conf]
  60. Silpa Suthram, Tomer Shlomi, Eytan Ruppin, Roded Sharan, Trey Ideker
    Comparison of Protein-Protein Interaction Confidence Assignment Schemes. [Citation Graph (0, 0)][DBLP]
    Systems Biology and Regulatory Genomics, 2005, pp:39-50 [Conf]

  61. Nucleotide variation of regulatory motifs may lead to distinct expression patterns. [Citation Graph (, )][DBLP]


  62. SPINE: a framework for signaling-regulatory pathway inference from cause-effect experiments. [Citation Graph (, )][DBLP]


  63. Co-evolutionary Models for Reconstructing Ancestral Genomic Sequences: Computational Issues and Biological Examples. [Citation Graph (, )][DBLP]


  64. Neural Processing of Counting in Evolved Spiking and McCulloch-Pitts Agents. [Citation Graph (, )][DBLP]


  65. Neurocontroller Analysis via Evolutionary Network Minimization. [Citation Graph (, )][DBLP]


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


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


  68. Examining the volume efficiency of the cortical architecture in a multi-processor network model. [Citation Graph (, )][DBLP]


  69. A neural model of the dynamic activation of memory. [Citation Graph (, )][DBLP]


  70. Constraint-based functional similarity of metabolic genes: going beyond network topology. [Citation Graph (, )][DBLP]


  71. Meta-analysis of gene expression data: a predictor-based approach. [Citation Graph (, )][DBLP]


  72. Pepitope: epitope mapping from affinity-selected peptides. [Citation Graph (, )][DBLP]


  73. Network-based prediction of metabolic enzymes' subcellular localization. [Citation Graph (, )][DBLP]


  74. Integrating quantitative proteomics and metabolomics with a genome-scale metabolic network model. [Citation Graph (, )][DBLP]


  75. A direct comparison of protein interaction confidence assignment schemes. [Citation Graph (, )][DBLP]


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