2008 | ||
---|---|---|
70 | EE | Banu Dost, Tomer Shlomi, Nitin Gupta, Eytan Ruppin, Vineet Bafna, Roded Sharan: QNet: A Tool for Querying Protein Interaction Networks. Journal of Computational Biology 15(7): 913-925 (2008) |
2007 | ||
69 | EE | Oved Ourfali, Tomer Shlomi, Trey Ideker, Eytan Ruppin, Roded Sharan: SPINE: a framework for signaling-regulatory pathway inference from cause-effect experiments. ISMB/ECCB (Supplement of Bioinformatics) 2007: 359-366 |
68 | EE | Liat Segal, Michal Lapidot, Zach Solan, Eytan Ruppin, Yitzhak Pilpel, David Horn: Nucleotide variation of regulatory motifs may lead to distinct expression patterns. ISMB/ECCB (Supplement of Bioinformatics) 2007: 440-449 |
67 | EE | Banu Dost, Tomer Shlomi, Nitin Gupta, Eytan Ruppin, Vineet Bafna, Roded Sharan: QNet: A Tool for Querying Protein Interaction Networks. RECOMB 2007: 1-15 |
66 | EE | Irit Fishel, Alon Kaufman, Eytan Ruppin: Meta-analysis of gene expression data: a predictor-based approach. Bioinformatics 23(13): 1599-1606 (2007) |
65 | EE | Oleg Rokhlenko, Tomer Shlomi, Roded Sharan, Eytan Ruppin, Ron Y. Pinter: Constraint-based functional similarity of metabolic genes: going beyond network topology. Bioinformatics 23(16): 2139-2146 (2007) |
64 | EE | 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. Bioinformatics 23(2): 91-98 (2007) |
63 | EE | Itay Mayrose, Osnat Penn, Elana Erez, Nimrod D. Rubinstein, Tomer Shlomi, Natalia Tarnovitski Freund, Erez M. Bublil, Eytan Ruppin, Roded Sharan, Jonathan M. Gershoni, Eric Martz, Tal Pupko: Pepitope: epitope mapping from affinity-selected peptides. Bioinformatics 23(23): 3244-3246 (2007) |
62 | EE | Shay Cohen, Gideon Dror, Eytan Ruppin: Feature Selection via Coalitional Game Theory. Neural Computation 19(7): 1939-1961 (2007) |
2006 | ||
61 | EE | Nir Yosef, Alon Kaufman, Eytan Ruppin: Inferring Functional Pathways from Multi-Perturbation Data. ISMB (Supplement of Bioinformatics) 2006: 539-546 |
60 | EE | Amit Kagian, Gideon Dror, Tommer Leyvand, Daniel Cohen-Or, Eytan Ruppin: A Humanlike Predictor of Facial Attractiveness. NIPS 2006: 649-656 |
59 | EE | Oleg Rokhlenko, Tomer Shlomi, Roded Sharan, Eytan Ruppin, Ron Y. Pinter: Flux-Based vs. Topology-Based Similarity of Metabolic Genes. WABI 2006: 274-285 |
58 | EE | Keren Saggie-Wexler, Alon Keinan, Eytan Ruppin: Neural Processing of Counting in Evolved Spiking and McCulloch-Pitts Agents. Artificial Life 12(1): 1-16 (2006) |
57 | EE | Alon Keinan, Ben Sandbank, Claus C. Hilgetag, Isaac Meilijson, Eytan Ruppin: Axiomatic Scalable Neurocontroller Analysis via the Shapley Value. Artificial Life 12(3): 333-352 (2006) |
56 | EE | Zohar Ganon, Alon Keinan, Eytan Ruppin: Neurocontroller Analysis via Evolutionary Network Minimization. Artificial Life 12(3): 435-448 (2006) |
55 | EE | Tomer Shlomi, Daniel Segal, Eytan Ruppin, Roded Sharan: QPath: a method for querying pathways in a protein-protein interaction network. BMC Bioinformatics 7: 199 (2006) |
54 | EE | Yael Eisenthal, Gideon Dror, Eytan Ruppin: Facial Attractiveness: Beauty and the Machine. Neural Computation 18(1): 119-142 (2006) |
2005 | ||
53 | EE | Vered Kunik, Zach Solan, Shimon Edelman, Eytan Ruppin, David Horn: Motif Extraction and Protein Classification. CSB 2005: 80-85 |
52 | EE | Shay Cohen, Eytan Ruppin, Gideon Dror: Feature Selection Based on the Shapley Value. IJCAI 2005: 665-670 |
51 | EE | Silpa Suthram, Tomer Shlomi, Eytan Ruppin, Roded Sharan, Trey Ideker: Comparison of Protein-Protein Interaction Confidence Assignment Schemes. Systems Biology and Regulatory Genomics 2005: 39-50 |
2004 | ||
50 | EE | Alon Kaufman, Martin Kupiec, Eytan Ruppin: Multi-Knockout Genetic Network Analysis: The Rad6 Example. CSB 2004: 332-340 |
49 | EE | Alon Keinan, Ben Sandbank, Claus C. Hilgetag, Isaac Meilijson, Eytan Ruppin: Fair Attribution of Functional Contribution in Artificial and Biological Networks. Neural Computation 16(9): 1887-1915 (2004) |
48 | EE | Alon Keinan, Claus C. Hilgetag, Isaac Meilijson, Eytan Ruppin: Causal localization of neural function: the Shapley value method. Neurocomputing 58-60: 215-222 (2004) |
47 | EE | Keren Saggie, Alon Keinan, Eytan Ruppin: Spikes that count: rethinking spikiness in neurally embedded systems. Neurocomputing 58-60: 303-311 (2004) |
2003 | ||
46 | EE | Keren Saggie, Alon Keinan, Eytan Ruppin: Solving a Delayed Response Task with Spiking. ECAL 2003: 199-208 |
45 | EE | Zohar Ganon, Alon Keinan, Eytan Ruppin: Evolutionary Network Minimization: Adaptive Implicit Pruning of Successful Agents. ECAL 2003: 319-327 |
44 | EE | Hezi Avraham, Gal Chechik, Eytan Ruppin: Are There Representations in Embodied Evolved Agents? Taking Measures. ECAL 2003: 743-752 |
43 | EE | Zach Solan, David Horn, Eytan Ruppin, Shimon Edelman: Unsupervised Context Sensitive Language Acquisition from a Large Corpus. NIPS 2003 |
42 | Lior Segev, Ranit Aharonov, Isaac Meilijson, Eytan Ruppin: High-Dimensional Analysis of Evolutionary Autonomous Agents. Artificial Life 9(1): 1-20 (2003) | |
41 | Shlomy Boshy, Eytan Ruppin: Evolving Small Neurocontrollers with Self-Organized Compact Encoding. Artificial Life 9(2): 131-151 (2003) | |
40 | EE | Ranit Aharonov, Lior Segev, Isaac Meilijson, Eytan Ruppin: Localization of Function via Lesion Analysis. Neural Computation 15(4): 885-913 (2003) |
2002 | ||
39 | EE | Zach Solan, Eytan Ruppin, David Horn, Shimon Edelman: Automatic Acquisition and Efficient Representation of Syntactic Structures. NIPS 2002: 91-98 |
38 | EE | Lev Finkelstein, Evgeniy Gabrilovich, Yossi Matias, Ehud Rivlin, Zach Solan, Gadi Wolfman, Eytan Ruppin: Placing search in context: the concept revisited. ACM Trans. Inf. Syst. 20(1): 116-131 (2002) |
37 | EE | Daphna Joel, Yael Niv, Eytan Ruppin: Actor-critic models of the basal ganglia: new anatomical and computational perspectives. Neural Networks 15(4-6): 535-547 (2002) |
36 | EE | Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Ruppin: Evolution of reinforcement learning in foraging bees: a simple explanation for risk averse behavior. Neurocomputing 44-46: 951-956 (2002) |
2001 | ||
35 | EE | Ranit Aharonov, Isaac Meilijson, Eytan Ruppin: Understanding the Agent's Brain: A Quantitative Approach. ECAL 2001: 216-225 |
34 | EE | Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Ruppin: Evolution of Reinforcement Learning in Uncertain Environments: Emergence of Risk-Aversion and Matching. ECAL 2001: 252-261 |
33 | EE | Lev Finkelstein, Evgeniy Gabrilovich, Yossi Matias, Ehud Rivlin, Zach Solan, Gadi Wolfman, Eytan Ruppin: Placing search in context: the concept revisited. WWW 2001: 406-414 |
32 | Ranit Aharonov-Barki, Tuvik Beker, Eytan Ruppin: Emergence of Memory-Driven Command Neurons in Evolved Artificial Agents. Neural Computation 13(3): 691-716 (2001) | |
31 | Gal Chechik, Isaac Meilijson, Eytan Ruppin: Effective Neuronal Learning with Ineffective Hebbian Learning Rules. Neural Computation 13(4): 817-840 (2001) | |
30 | EE | Nir Levy, David Horn, Isaac Meilijson, Eytan Ruppin: Distributed synchrony in a cell assembly of spiking neurons. Neural Networks 14(6-7): 815-824 (2001) |
29 | EE | Tuvik Beker, Ranit Aharonov, Eytan Ruppin: Emerging command neuron circuitry in evolved autonomous agents. Neurocomputing 38-40: 1101-1106 (2001) |
2000 | ||
28 | Ranit Aharonov-Barki, Isaac Meilijson, Eytan Ruppin: Who Does What? A Novel Algorithm to Determine Function Localization. NIPS 2000: 3-9 | |
27 | EE | Gal Chechik, Isaac Meilijson, Eytan Ruppin: Neuronal normalization provides effective learning through ineffective synaptic learning rules. Neurocomputing 32-33: 345-351 (2000) |
26 | EE | David Horn, Nir Levy, Eytan Ruppin: Distributed synchrony in an attractor of spiking neurons. Neurocomputing 32-33: 409-414 (2000) |
25 | EE | Eyal Cohen, Nir Levy, Eytan Ruppin: Global vs. local processing of compressed representations: A computational model of visual search. Neurocomputing 32-33: 667-671 (2000) |
1999 | ||
24 | Ranit Aharonov-Barki, Tuvik Beker, Eytan Ruppin: Spontaneous Evolution of Command Neurons, Place Cells and Memory Mechanisms in Autonomous Agents. ECAL 1999: 246-255 | |
23 | EE | David Horn, Nir Levy, Isaac Meilijson, Eytan Ruppin: Distributed Synchrony of Spiking Neurons in a Hebbian Cell Assembly. NIPS 1999: 129-135 |
22 | EE | Gal Chechik, Isaac Meilijson, Eytan Ruppin: Effective Learning Requires Neuronal Remodeling of Hebbian Synapses. NIPS 1999: 96-102 |
21 | Nir Levy, David Horn, Eytan Ruppin: Associative Memory in a Multimodular Network. Neural Computation 11(7): 1717-1737 (1999) | |
20 | Gal Chechik, Isaac Meilijson, Eytan Ruppin: Neuronal Regulation: A Mechanism for Synaptic Pruning During Brain Maturation. Neural Computation 11(8): 2061-2080 (1999) | |
19 | EE | David Horn, Nir Levy, Eytan Ruppin: The importance of nonlinear dendritic processing in multimodular memory networks. Neurocomputing 26-27: 389-394 (1999) |
18 | EE | Gal Chechik, Isaac Meilijson, Eytan Ruppin: Neuronal regulation: A biologically plausible mechanism for efficient synaptic pruning in development. Neurocomputing 26-27: 633-639 (1999) |
1998 | ||
17 | EE | Gal Chechik, Isaac Meilijson, Eytan Ruppin: Neuronal Regulation Implements Efficient Synaptic Pruning. NIPS 1998: 97-103 |
16 | Eytan Ruppin, James A. Reggia: Seeking order in disorder: computational studies of neurologic and psychiatric diseases. Artificial Intelligence in Medicine 13(1-2): 1-12 (1998) | |
15 | David Horn, Nir Levy, Eytan Ruppin: Memory Maintenance via Neuronal Regulation. Neural Computation 10(1): 1-18 (1998) | |
14 | Asnat Greenstein-Messica, Eytan Ruppin: Synaptic Runaway In Associative Networks And The Pathogenesis Of Schizophrenia. Neural Computation 10(2): 451-465 (1998) | |
13 | Gal Chechik, Isaac Meilijson, Eytan Ruppin: Synaptic Pruning In Development: A Computational Account. Neural Computation 10(7): 1759-1777 (1998) | |
1997 | ||
12 | Nir Levy, David Horn, Eytan Ruppin: Multi-modular Associative Memory. NIPS 1997 | |
11 | Eyal Cohen, Eytan Ruppin: On Parallel versus Serial Processing: A Computational Study of Visual Search. NIPS 1997 | |
1996 | ||
10 | Moshe Sipper, Eytan Ruppin: Co-Evolving Cellular Architectures by Cellular Programming. International Conference on Evolutionary Computation 1996: 306-311 | |
9 | EE | Regev Levi, Eytan Ruppin, Yossi Matias, James A. Reggia: Frequency-Spatial Transformation: A Proposal for Parsimonious Intra-Cortical Communication. Int. J. Neural Syst. 7(5): 591-598 (1996) |
1995 | ||
8 | EE | Eytan Ruppin, James A. Reggia: Patterns of functional damage in neural network models of associative memory. Neural Computation 7(5): 1105-1127 (1995) |
7 | EE | David Horn, Eytan Ruppin: Compensatory mechanisms in an attractor neural network model of schizophrenia. Neural Computation 7: 182-205 (1995) |
1994 | ||
6 | EE | Eytan Ruppin, James A. Reggia, David Horn: A Neural Model of Delusions and Hallucinations in Schizophrenia. NIPS 1994: 149-156 |
5 | EE | Eytan Ruppin, James A. Reggia: Patterns of damage in neural networks: The effects of lesion area, shape and number. NIPS 1994: 35-42 |
1993 | ||
4 | EE | Isaac Meilijson, Eytan Ruppin: Optimal Signalling in Attractor Neural Networks. NIPS 1993: 485-492 |
1992 | ||
3 | EE | Isaac Meilijson, Eytan Ruppin, Moshe Sipper: Single-Iteration Threshold Hamming Networks. NIPS 1992: 564-571 |
2 | EE | Isaac Meilijson, Eytan Ruppin: History-Dependent Attractor Neural Networks. NIPS 1992: 572-579 |
1990 | ||
1 | EE | Eytan Ruppin, Yehezkel Yeshurun: An Attractor Neural Network Model of Recall and Recognition. NIPS 1990: 642-648 |