| * | 2009 |
|---|
| 73 | EE | Tamir Tuller,
Hadas Birin,
Martin Kupiec,
Eytan Ruppin:
Co-evolutionary Models for Reconstructing Ancestral Genomic Sequences: Computational Issues and Biological Examples.
RECOMB-CG 2009: 164-180 |
| 72 | EE | Shira Mintz-Oron,
Asaph Aharoni,
Eytan Ruppin,
Tomer Shlomi:
Network-based prediction of metabolic enzymes' subcellular localization.
Bioinformatics 25(12): (2009) |
| 2008 |
|---|
| 71 | 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 |
|---|
| 70 | 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 |
| 69 | 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 |
| 68 | 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 |
| 67 | EE | Irit Fishel,
Alon Kaufman,
Eytan Ruppin:
Meta-analysis of gene expression data: a predictor-based approach.
Bioinformatics 23(13): 1599-1606 (2007) |
| 66 | 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) |
| 65 | 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) |
| 64 | 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) |
| 63 | EE | Shay Cohen,
Gideon Dror,
Eytan Ruppin:
Feature Selection via Coalitional Game Theory.
Neural Computation 19(7): 1939-1961 (2007) |
| 2006 |
|---|
| 62 | EE | Nir Yosef,
Alon Kaufman,
Eytan Ruppin:
Inferring Functional Pathways from Multi-Perturbation Data.
ISMB (Supplement of Bioinformatics) 2006: 539-546 |
| 61 | EE | Amit Kagian,
Gideon Dror,
Tommer Leyvand,
Daniel Cohen-Or,
Eytan Ruppin:
A Humanlike Predictor of Facial Attractiveness.
NIPS 2006: 649-656 |
| 60 | 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 |
| 59 | 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) |
| 58 | 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) |
| 57 | EE | Zohar Ganon,
Alon Keinan,
Eytan Ruppin:
Neurocontroller Analysis via Evolutionary Network Minimization.
Artificial Life 12(3): 435-448 (2006) |
| 56 | 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) |
| 55 | EE | Yael Eisenthal,
Gideon Dror,
Eytan Ruppin:
Facial Attractiveness: Beauty and the Machine.
Neural Computation 18(1): 119-142 (2006) |
| 2005 |
|---|
| 54 | EE | Vered Kunik,
Zach Solan,
Shimon Edelman,
Eytan Ruppin,
David Horn:
Motif Extraction and Protein Classification.
CSB 2005: 80-85 |
| 53 | EE | Shay Cohen,
Eytan Ruppin,
Gideon Dror:
Feature Selection Based on the Shapley Value.
IJCAI 2005: 665-670 |
| 52 | 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 |
|---|
| 51 | EE | Alon Kaufman,
Martin Kupiec,
Eytan Ruppin:
Multi-Knockout Genetic Network Analysis: The Rad6 Example.
CSB 2004: 332-340 |
| 50 | 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) |
| 49 | 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) |
| 48 | EE | Keren Saggie,
Alon Keinan,
Eytan Ruppin:
Spikes that count: rethinking spikiness in neurally embedded systems.
Neurocomputing 58-60: 303-311 (2004) |
| 2003 |
|---|
| 47 | EE | Keren Saggie,
Alon Keinan,
Eytan Ruppin:
Solving a Delayed Response Task with Spiking.
ECAL 2003: 199-208 |
| 46 | EE | Zohar Ganon,
Alon Keinan,
Eytan Ruppin:
Evolutionary Network Minimization: Adaptive Implicit Pruning of Successful Agents.
ECAL 2003: 319-327 |
| 45 | EE | Hezi Avraham,
Gal Chechik,
Eytan Ruppin:
Are There Representations in Embodied Evolved Agents? Taking Measures.
ECAL 2003: 743-752 |
| 44 | EE | Zach Solan,
David Horn,
Eytan Ruppin,
Shimon Edelman:
Unsupervised Context Sensitive Language Acquisition from a Large Corpus.
NIPS 2003 |
| 43 | | Lior Segev,
Ranit Aharonov,
Isaac Meilijson,
Eytan Ruppin:
High-Dimensional Analysis of Evolutionary Autonomous Agents.
Artificial Life 9(1): 1-20 (2003) |
| 42 | | Shlomy Boshy,
Eytan Ruppin:
Evolving Small Neurocontrollers with Self-Organized Compact Encoding.
Artificial Life 9(2): 131-151 (2003) |
| 41 | EE | Ranit Aharonov,
Lior Segev,
Isaac Meilijson,
Eytan Ruppin:
Localization of Function via Lesion Analysis.
Neural Computation 15(4): 885-913 (2003) |
| 2002 |
|---|
| 40 | EE | Zach Solan,
Eytan Ruppin,
David Horn,
Shimon Edelman:
Automatic Acquisition and Efficient Representation of Syntactic Structures.
NIPS 2002: 91-98 |
| 39 | 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) |
| 38 | 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) |
| 37 | 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 |
|---|
| 36 | EE | Ranit Aharonov,
Isaac Meilijson,
Eytan Ruppin:
Understanding the Agent's Brain: A Quantitative Approach.
ECAL 2001: 216-225 |
| 35 | 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 |
| 34 | 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 |
| 33 | | Ranit Aharonov-Barki,
Tuvik Beker,
Eytan Ruppin:
Emergence of Memory-Driven Command Neurons in Evolved Artificial Agents.
Neural Computation 13(3): 691-716 (2001) |
| 32 | | Gal Chechik,
Isaac Meilijson,
Eytan Ruppin:
Effective Neuronal Learning with Ineffective Hebbian Learning Rules.
Neural Computation 13(4): 817-840 (2001) |
| 31 | 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) |
| 30 | EE | Tuvik Beker,
Ranit Aharonov,
Eytan Ruppin:
Emerging command neuron circuitry in evolved autonomous agents.
Neurocomputing 38-40: 1101-1106 (2001) |
| 2000 |
|---|
| 29 | | Ranit Aharonov-Barki,
Isaac Meilijson,
Eytan Ruppin:
Who Does What? A Novel Algorithm to Determine Function Localization.
NIPS 2000: 3-9 |
| 28 | EE | Gal Chechik,
Isaac Meilijson,
Eytan Ruppin:
Neuronal normalization provides effective learning through ineffective synaptic learning rules.
Neurocomputing 32-33: 345-351 (2000) |
| 27 | EE | David Horn,
Nir Levy,
Eytan Ruppin:
Distributed synchrony in an attractor of spiking neurons.
Neurocomputing 32-33: 409-414 (2000) |
| 26 | 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 |
|---|
| 25 | | Ranit Aharonov-Barki,
Tuvik Beker,
Eytan Ruppin:
Spontaneous Evolution of Command Neurons, Place Cells and Memory Mechanisms in Autonomous Agents.
ECAL 1999: 246-255 |
| 24 | EE | David Horn,
Nir Levy,
Isaac Meilijson,
Eytan Ruppin:
Distributed Synchrony of Spiking Neurons in a Hebbian Cell Assembly.
NIPS 1999: 129-135 |
| 23 | EE | Gal Chechik,
Isaac Meilijson,
Eytan Ruppin:
Effective Learning Requires Neuronal Remodeling of Hebbian Synapses.
NIPS 1999: 96-102 |
| 22 | | Nir Levy,
David Horn,
Eytan Ruppin:
Associative Memory in a Multimodular Network.
Neural Computation 11(7): 1717-1737 (1999) |
| 21 | | Gal Chechik,
Isaac Meilijson,
Eytan Ruppin:
Neuronal Regulation: A Mechanism for Synaptic Pruning During Brain Maturation.
Neural Computation 11(8): 2061-2080 (1999) |
| 20 | EE | David Horn,
Nir Levy,
Eytan Ruppin:
The importance of nonlinear dendritic processing in multimodular memory networks.
Neurocomputing 26-27: 389-394 (1999) |
| 19 | 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 |
|---|
| 18 | EE | Gal Chechik,
Isaac Meilijson,
Eytan Ruppin:
Neuronal Regulation Implements Efficient Synaptic Pruning.
NIPS 1998: 97-103 |
| 17 | | 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) |
| 16 | | David Horn,
Nir Levy,
Eytan Ruppin:
Memory Maintenance via Neuronal Regulation.
Neural Computation 10(1): 1-18 (1998) |
| 15 | | Asnat Greenstein-Messica,
Eytan Ruppin:
Synaptic Runaway In Associative Networks And The Pathogenesis Of Schizophrenia.
Neural Computation 10(2): 451-465 (1998) |
| 14 | | Gal Chechik,
Isaac Meilijson,
Eytan Ruppin:
Synaptic Pruning In Development: A Computational Account.
Neural Computation 10(7): 1759-1777 (1998) |
| 1997 |
|---|
| 13 | | Nir Levy,
David Horn,
Eytan Ruppin:
Multi-modular Associative Memory.
NIPS 1997 |
| 12 | | Eyal Cohen,
Eytan Ruppin:
On Parallel versus Serial Processing: A Computational Study of Visual Search.
NIPS 1997 |
| 1996 |
|---|
| 11 | | Moshe Sipper,
Eytan Ruppin:
Co-Evolving Cellular Architectures by Cellular Programming.
International Conference on Evolutionary Computation 1996: 306-311 |
| 10 | 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 |
|---|
| 9 | EE | David Horn,
Eytan Ruppin:
Compensatory mechanisms in an attractor neural network model of schizophrenia.
Neural Computation 7(1): 182-205 (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) |
| 1994 |
|---|
| 7 | EE | Eytan Ruppin,
James A. Reggia,
David Horn:
A Neural Model of Delusions and Hallucinations in Schizophrenia.
NIPS 1994: 149-156 |
| 6 | 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 |
|---|
| 5 | EE | Isaac Meilijson,
Eytan Ruppin:
Optimal Signalling in Attractor Neural Networks.
NIPS 1993: 485-492 |
| 4 | EE | David Horn,
Eytan Ruppin,
Marius Usher,
M. Herrmann:
Neural Network Modeling of Memory Deterioration in Alzheimer's Disease.
Neural Computation 5(5): 736-749 (1993) |
| 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 |
