Eytan Ruppin - RankMe

122 papers A* 2B 4C 2Journal 82Unranked 29

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Finding Multiple Optimal Solutions to an Integer Linear Program by Random Perturbations of Its Objective Function. Algorithms Noah Schulhof, Pattara Sukprasert, Eytan Ruppin, Samir Khuller, Alejandro A. Schäffer
2024	J	`jnl`	Reusability report: Leveraging supervised learning to uncover phenotype-relevant biology from single-cell RNA sequencing data. Nat. Mac. Intell. Yingying Cao, Tian-Gen Chang, Sahil Sahni, Eytan Ruppin
2023	C	`conf`	A SSIM Guided cGAN Architecture For Clinically Driven Generative Image Synthesis of Multiplexed Spatial Proteomics Channels. CIBCB Jillur Rahman Saurav, Mohammad Sadegh Nasr, Helen H. Shang, Paul Koomey, Michael Robben, Manfred Huber, Jon Weidanz, Bríd Ryan, Eytan Ruppin, Peng Jiang, Jacob M. Luber
2022	J	`jnl`	A SSIM Guided cGAN Architecture For Clinically Driven Generative Image Synthesis of Multiplexed Spatial Proteomics Channels. CoRR Jillur Rahman Saurav, Mohammad Sadegh Nasr, Paul Koomey, Michael Robben, Manfred Huber, Jon Weidanz, Bríd Ryan, Eytan Ruppin, Peng Jiang, Jacob M. Luber
2017	J	`jnl`	Detecting similar binding pockets to enable systems polypharmacology. PLoS Comput. Biol. Miquel Duran-Frigola, Lydia Siragusa, Eytan Ruppin, Xavier Barril, Gabriele Cruciani, Patrick Aloy
2016	J	`jnl`	Data-Driven Metabolic Pathway Compositions Enhance Cancer Survival Prediction. PLoS Comput. Biol. Noam Auslander, Allon Wagner, Matthew A. Oberhardt, Eytan Ruppin
2016	J	`jnl`	Functional Alignment of Metabolic Networks. J. Comput. Biol. Arnon Mazza, Allon Wagner, Eytan Ruppin, Roded Sharan
2016	J	`jnl`	Systems-Wide Prediction of Enzyme Promiscuity Reveals a New Underground Alternative Route for Pyridoxal 5'-Phosphate Production in PLoS Comput. Biol. Matthew A. Oberhardt, Raphy Zarecki, Leah Reshef, Fangfang Xia, Miquel Duran-Frigola, Rachel Schreiber, Christopher S. Henry, Nir Ben-Tal, Daniel J. Dwyer, Uri Gophna, Eytan Ruppin
2015	B	`conf`	Functional Alignment of Metabolic Networks. RECOMB Arnon Mazza, Allon Wagner, Eytan Ruppin, Roded Sharan
2014	J	`jnl`	A Novel Nutritional Predictor Links Microbial Fastidiousness with Lowered Ubiquity, Growth Rate, and Cooperativeness. PLoS Comput. Biol. Raphy Zarecki, Matthew A. Oberhardt, Leah Reshef, Uri Gophna, Eytan Ruppin
2012	J	`jnl`	A Linearized Constraint-Based Approach for Modeling Signaling Networks. J. Comput. Biol. Liram Vardi, Eytan Ruppin, Roded Sharan
2012	J	`jnl`	Enhancing the Prioritization of Disease-Causing Genes through Tissue Specific Protein Interaction Networks. PLoS Comput. Biol. Oded Magger, Yedael Y. Waldman, Eytan Ruppin, Roded Sharan
2012	J	`jnl`	Large-Scale Elucidation of Drug Response Pathways in Humans. J. Comput. Biol. Yael Silberberg, Assaf Gottlieb, Martin Kupiec, Eytan Ruppin, Roded Sharan
2011	B	`conf`	A Ribosome Flow Model for Analyzing Translation Elongation - (Extended Abstract). RECOMB Shlomi Reuveni, Isaac Meilijson, Martin Kupiec, Eytan Ruppin, Tamir Tuller
2011	J	`jnl`	Combining Drug and Gene Similarity Measures for Drug-Target Elucidation. J. Comput. Biol. Liat Perlman, Assaf Gottlieb, Nir Atias, Eytan Ruppin, Roded Sharan
2011	J	`jnl`	Gene Expression in the Rodent Brain is Associated with Its Regional Connectivity. PLoS Comput. Biol. Lior Wolf, Chen Goldberg, Nathan Manor, Roded Sharan, Eytan Ruppin
2011	J	`jnl`	Genome-Scale Analysis of Translation Elongation with a Ribosome Flow Model. PLoS Comput. Biol. Shlomi Reuveni, Isaac Meilijson, Martin Kupiec, Eytan Ruppin, Tamir Tuller
2011	J	`jnl`	Genome-Scale Metabolic Modeling Elucidates the Role of Proliferative Adaptation in Causing the Warburg Effect. PLoS Comput. Biol. Tomer Shlomi, Tomer Benyamini, Eyal Gottlieb, Roded Sharan, Eytan Ruppin
2011	J	`jnl`	PRINCIPLE: a tool for associating genes with diseases via network propagation. Bioinform. Assaf Gottlieb, Oded Magger, Igor Berman, Eytan Ruppin, Roded Sharan
2010	J	`jnl`	Associating Genes and Protein Complexes with Disease via Network Propagation. PLoS Comput. Biol. Oron Vanunu, Oded Magger, Eytan Ruppin, Tomer Shlomi, Roded Sharan
2010	J	`jnl`	Decoupling Environment-Dependent and Independent Genetic Robustness across Bacterial Species. PLoS Comput. Biol. Shiri Freilich, Anat Kreimer, Elhanan Borenstein, Uri Gophna, Roded Sharan, Eytan Ruppin
2010	J	`jnl`	Integrating quantitative proteomics and metabolomics with a genome-scale metabolic network model. Bioinform. Keren Yizhak, Tomer Benyamini, Wolfram Liebermeister, Eytan Ruppin, Tomer Shlomi
2010	J	`jnl`	MuD: an interactive web server for the prediction of non-neutral substitutions using protein structural data. Nucleic Acids Res. Gilad Wainreb, Haim Ashkenazy, Yana Bromberg, Alina Starovolsky-Shitrit, Turkan Haliloglu, Eytan Ruppin, Karen B. Avraham, Burkhard Rost, Nir Ben-Tal
2010	J	`jnl`	Network-Free Inference of Knockout Effects in Yeast. PLoS Comput. Biol. Tal Peleg, Nir Yosef, Eytan Ruppin, Roded Sharan
2010	J	`jnl`	Reconstructing Ancestral Genomic Sequences by Co-Evolution: Formal Definitions, Computational Issues, and Biological Examples. J. Comput. Biol. Tamir Tuller, Hadas Birin, Martin Kupiec, Eytan Ruppin
2010	J	`jnl`	iMAT: an integrative metabolic analysis tool. Bioinform. Hadas Zur, Eytan Ruppin, Tomer Shlomi
2009	—	`conf`	Co-evolutionary Models for Reconstructing Ancestral Genomic Sequences: Computational Issues and Biological Examples. RECOMB-CG Tamir Tuller, Hadas Birin, Martin Kupiec, Eytan Ruppin
2009	J	`jnl`	Higher-Order Genomic Organization of Cellular Functions in Yeast. J. Comput. Biol. Tamir Tuller, Udi Rubinstein, Dani Bar, Michael Gurevich, Eytan Ruppin, Martin Kupiec
2009	J	`jnl`	Network-based prediction of metabolic enzymes' subcellular localization. Bioinform. Shira Mintz-Oron, Asaph Aharoni, Eytan Ruppin, Tomer Shlomi
2008	J	`jnl`	Can single knockouts accurately single out gene functions? BMC Syst. Biol. David Deutscher, Isaac Meilijson, Stefan Schuster, Eytan Ruppin
2008	—	`ch.`	Cross-Species Analysis of Protein-protein Interaction Networks. Protein-protein Interactions and Networks Nir Yosef, Eytan Ruppin, Roded Sharan
2008	J	`jnl`	QNet: A Tool for Querying Protein Interaction Networks. J. Comput. Biol. Banu Dost, Tomer Shlomi, Nitin Gupta, Eytan Ruppin, Vineet Bafna, Roded Sharan
2007	J	`jnl`	A supervised approach for identifying discriminating genotype patterns and its application to breast cancer data. Bioinform. Nir Yosef, Zohar Yakhini, Anya Tsalenko, Vessela N. Kristensen, Anne-Lise Børresen-Dale, Eytan Ruppin, Roded Sharan
2007	J	`jnl`	Constraint-based functional similarity of metabolic genes: going beyond network topology. Bioinform. Oleg Rokhlenko, Tomer Shlomi, Roded Sharan, Eytan Ruppin, Ron Y. Pinter
2007	J	`jnl`	Determinants of Protein Abundance and Translation Efficiency in PLoS Comput. Biol. Tamir Tuller, Martin Kupiec, Eytan Ruppin
2007	J	`jnl`	Evolutionary conservation and over-representation of functionally enriched network patterns in the yeast regulatory network. BMC Syst. Biol. Ofer Meshi, Tomer Shlomi, Eytan Ruppin
2007	J	`jnl`	Feature Selection via Coalitional Game Theory. Neural Comput. Shay B. Cohen, Gideon Dror, Eytan Ruppin
2007	J	`jnl`	Functional Representation of Enzymes by Specific Peptides. PLoS Comput. Biol. Vered Kunik, Yasmine Meroz, Zach Solan, Ben Sandbank, Uri Weingart, Eytan Ruppin, David Horn
2007	J	`jnl`	Meta-analysis of gene expression data: a predictor-based approach. Bioinform. Irit Fishel, Alon Kaufman, Eytan Ruppin
2007	—	`conf`	Nucleotide variation of regulatory motifs may lead to distinct expression patterns. ISMB/ECCB (Supplement of Bioinformatics) Liat Segal, Michal Lapidot, Zach Solan, Eytan Ruppin, Yitzhak Pilpel, David Horn
2007	J	`jnl`	Pepitope: epitope mapping from affinity-selected peptides. Bioinform. 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
2007	B	`conf`	QNet: A Tool for Querying Protein Interaction Networks. RECOMB Banu Dost, Tomer Shlomi, Nitin Gupta, Eytan Ruppin, Vineet Bafna, Roded Sharan
2007	—	`conf`	SPINE: a framework for signaling-regulatory pathway inference from cause-effect experiments. ISMB/ECCB (Supplement of Bioinformatics) Oved Ourfali, Tomer Shlomi, Trey Ideker, Eytan Ruppin, Roded Sharan
2006	—	`conf`	A Humanlike Predictor of Facial Attractiveness. NIPS Amit Kagian, Gideon Dror, Tommer Leyvand, Daniel Cohen-Or, Eytan Ruppin
2006	J	`jnl`	A direct comparison of protein interaction confidence assignment schemes. BMC Bioinform. Silpa Suthram, Tomer Shlomi, Eytan Ruppin, Roded Sharan, Trey Ideker
2006	J	`jnl`	Axiomatic Scalable Neurocontroller Analysis via the Shapley Value. Artif. Life Alon Keinan, Ben Sandbank, Claus C. Hilgetag, Isaac Meilijson, Eytan Ruppin
2006	J	`jnl`	Conservation of Expression and Sequence of Metabolic Genes Is Reflected by Activity Across Metabolic States. PLoS Comput. Biol. Yonatan Bilu, Tomer Shlomi, Naama Barkai, Eytan Ruppin
2006	J	`jnl`	Facial Attractiveness: Beauty and the Machine. Neural Comput. Yael Eisenthal, Gideon Dror, Eytan Ruppin
2006	C	`conf`	Flux-Based WABI Oleg Rokhlenko, Tomer Shlomi, Roded Sharan, Eytan Ruppin, Ron Y. Pinter
2006	J	`jnl`	Gene Expression of PLoS Comput. Biol. Alon Kaufman, Gideon Dror, Isaac Meilijson, Eytan Ruppin
2006	—	`conf`	Inferring Functional Pathways from Multi-Perturbation Data. ISMB (Supplement of Bioinformatics) Nir Yosef, Alon Kaufman, Eytan Ruppin
2006	J	`jnl`	Neural Processing of Counting in Evolved Spiking and McCulloch-Pitts Agents. Artif. Life Keren Saggie-Wexler, Alon Keinan, Eytan Ruppin
2006	J	`jnl`	Neurocontroller Analysis via Evolutionary Network Minimization. Artif. Life Zohar Ganon, Alon Keinan, Eytan Ruppin
2006	J	`jnl`	QPath: a method for querying pathways in a protein-protein interaction network. BMC Bioinform. Tomer Shlomi, Daniel Segal, Eytan Ruppin, Roded Sharan
2005	—	`conf`	Comparison of Protein-Protein Interaction Confidence Assignment Schemes. Systems Biology and Regulatory Genomics Silpa Suthram, Tomer Shlomi, Eytan Ruppin, Roded Sharan, Trey Ideker
2005	A*	`conf`	Feature Selection Based on the Shapley Value. IJCAI Shay B. Cohen, Eytan Ruppin, Gideon Dror
2005	—	`conf`	Motif Extraction and Protein Classification. CSB Vered Kunik, Zach Solan, Shimon Edelman, Eytan Ruppin, David Horn
2005	J	`jnl`	Quantitative Analysis of Genetic and Neuronal Multi-Perturbation Experiments. PLoS Comput. Biol. Alon Kaufman, Alon Keinan, Isaac Meilijson, Martin Kupiec, Eytan Ruppin
2005	J	`jnl`	The evolution of imitation and mirror neurons in adaptive agents. Cogn. Syst. Res. Elhanan Borenstein, Eytan Ruppin
2005	J	`jnl`	Unsupervised learning of natural languages. Proc. Natl. Acad. Sci. USA Zach Solan, David Horn, Eytan Ruppin, Shimon Edelman
2004	J	`jnl`	Causal localization of neural function: the Shapley value method. Neurocomputing Alon Keinan, Claus C. Hilgetag, Isaac Meilijson, Eytan Ruppin
2004	J	`jnl`	Fair Attribution of Functional Contribution in Artificial and Biological Networks. Neural Comput. Alon Keinan, Ben Sandbank, Claus C. Hilgetag, Isaac Meilijson, Eytan Ruppin
2004	J	`jnl`	Fair localization of function via multi-lesion analysis. Neuroinformatics Alon Keinan, Alon Kaufman, Nadia Sachs, Claus C. Hilgetag, Eytan Ruppin
2004	—	`conf`	Multi-Knockout Genetic Network Analysis: The Rad6 Example. CSB Alon Kaufman, Martin Kupiec, Eytan Ruppin
2004	J	`jnl`	Spikes that count: rethinking spikiness in neurally embedded systems. Neurocomputing Keren Saggie, Alon Keinan, Eytan Ruppin
2003	—	`conf`	Are There Representations in Embodied Evolved Agents? Taking Measures. ECAL Hezi Avraham, Gal Chechik, Eytan Ruppin
2003	—	`conf`	Evolutionary Network Minimization: Adaptive Implicit Pruning of Successful Agents. ECAL Zohar Ganon, Alon Keinan, Eytan Ruppin
2003	J	`jnl`	Evolving Small Neurocontrollers with Self-Organized Compact Encoding. Artif. Life Shlomy Boshy, Eytan Ruppin
2003	J	`jnl`	High-Dimensional Analysis of Evolutionary Autonomous Agents. Artif. Life Lior Segev, Ranit Aharonov-Barki, Isaac Meilijson, Eytan Ruppin
2003	J	`jnl`	Localization of Function via Lesion Analysis. Neural Comput. Ranit Aharonov-Barki, Lior Segev, Isaac Meilijson, Eytan Ruppin
2003	—	`conf`	Solving a Delayed Response Task with Spiking. ECAL Keren Saggie, Alon Keinan, Eytan Ruppin
2003	—	`conf`	Unsupervised Context Sensitive Language Acquisition from a Large Corpus. NIPS Zach Solan, David Horn, Eytan Ruppin, Shimon Edelman
2002	J	`jnl`	Actor-critic models of the basal ganglia: new anatomical and computational perspectives. Neural Networks Daphna Joel, Yael Niv, Eytan Ruppin
2002	—	`conf`	Automatic Acquisition and Efficient Representation of Syntactic Structures. NIPS Zach Solan, Eytan Ruppin, David Horn, Shimon Edelman
2002	J	`jnl`	Evolution of Reinforcement Learning in Uncertain Environments: A Simple Explanation for Complex Foraging Behaviors. Adapt. Behav. Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Ruppin
2002	J	`jnl`	Evolution of reinforcement learning in foraging bees: a simple explanation for risk averse behavior. Neurocomputing Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Ruppin
2002	J	`jnl`	Placing search in context: the concept revisited. ACM Trans. Inf. Syst. Lev Finkelstein, Evgeniy Gabrilovich, Yossi Matias, Ehud Rivlin, Zach Solan, Gadi Wolfman, Eytan Ruppin
2001	J	`jnl`	Distributed synchrony in a cell assembly of spiking neurons. Neural Networks Nir Levy, David Horn, Isaac Meilijson, Eytan Ruppin
2001	J	`jnl`	Effective Neuronal Learning with Ineffective Hebbian Learning Rules. Neural Comput. Gal Chechik, Isaac Meilijson, Eytan Ruppin
2001	J	`jnl`	Emergence of Memory-Driven Command Neurons in Evolved Artificial Agents. Neural Comput. Ranit Aharonov-Barki, Tuvik Beker, Eytan Ruppin
2001	J	`jnl`	Emerging command neuron circuitry in evolved autonomous agents. Neurocomputing Tuvik Beker, Ranit Aharonov-Barki, Eytan Ruppin
2001	—	`conf`	Evolution of Reinforcement Learning in Uncertain Environments: Emergence of Risk-Aversion and Matching. ECAL Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Ruppin
2001	A*	`conf`	Placing search in context: the concept revisited. WWW Lev Finkelstein, Evgeniy Gabrilovich, Yossi Matias, Ehud Rivlin, Zach Solan, Gadi Wolfman, Eytan Ruppin
2001	—	`conf`	Understanding the Agent's Brain: A Quantitative Approach. ECAL Ranit Aharonov-Barki, Isaac Meilijson, Eytan Ruppin
2000	J	`jnl`	Distributed synchrony in an attractor of spiking neurons. Neurocomputing David Horn, Nir Levy, Eytan Ruppin
2000	J	`jnl`	Global vs. local processing of compressed representations: A computational model of visual search. Neurocomputing Eyal Cohen, Nir Levy, Eytan Ruppin
2000	J	`jnl`	Neuronal normalization provides effective learning through ineffective synaptic learning rules. Neurocomputing Gal Chechik, Isaac Meilijson, Eytan Ruppin
2000	—	`conf`	Who Does What? A Novel Algorithm to Determine Function Localization. NIPS Ranit Aharonov-Barki, Isaac Meilijson, Eytan Ruppin
1999	J	`jnl`	Associative Memory in a Multimodular Network. Neural Comput. Nir Levy, David Horn, Eytan Ruppin
1999	—	`conf`	Distributed Synchrony of Spiking Neurons in a Hebbian Cell Assembly. NIPS David Horn, Nir Levy, Isaac Meilijson, Eytan Ruppin
1999	—	`conf`	Effective Learning Requires Neuronal Remodeling of Hebbian Synapses. NIPS Gal Chechik, Isaac Meilijson, Eytan Ruppin
1999	J	`jnl`	Neuronal Regulation: A Mechanism for Synaptic Pruning During Brain Maturation. Neural Comput. Gal Chechik, Isaac Meilijson, Eytan Ruppin
1999	J	`jnl`	Neuronal regulation: A biologically plausible mechanism for efficient synaptic pruning in development. Neurocomputing Gal Chechik, Isaac Meilijson, Eytan Ruppin
1999	J	`jnl`	Pathogenic mechanisms in ischemic damage: a computational study. Comput. Biol. Medicine Eytan Ruppin, Elad Ofer, James A. Reggia, Kenneth Revett, Sharon Goodall
1999	—	`conf`	Spontaneous Evolution of Command Neurons, Place Cells and Memory Mechanisms in Autonomous Agents. ECAL Ranit Aharonov-Barki, Tuvik Beker, Eytan Ruppin
1999	J	`jnl`	The importance of nonlinear dendritic processing in multimodular memory networks. Neurocomputing David Horn, Nir Levy, Eytan Ruppin
1998	—	`ch.`	Fast computation in hamming and hopfield networks. Algorithms and Architectures Isaac Meilijson, Eytan Ruppin, Moshe Sipper
1998	J	`jnl`	Memory Maintenance via Neuronal Regulation. Neural Comput. David Horn, Nir Levy, Eytan Ruppin
1998	—	`conf`	Neuronal Regulation Implements Efficient Synaptic Pruning. NIPS Gal Chechik, Isaac Meilijson, Eytan Ruppin
1998	J	`jnl`	Seeking order in disorder: computational studies of neurologic and psychiatric diseases. Artif. Intell. Medicine Eytan Ruppin, James A. Reggia
1998	J	`jnl`	Synaptic Pruning In Development: A Computational Account. Neural Comput. Gal Chechik, Isaac Meilijson, Eytan Ruppin
1998	J	`jnl`	Synaptic Runaway In Associative Networks And The Pathogenesis Of Schizophrenia. Neural Comput. Asnat Greenstein-Messica, Eytan Ruppin
1997	—	`conf`	Multi-modular Associative Memory. NIPS Nir Levy, David Horn, Eytan Ruppin
1997	—	`conf`	On Parallel versus Serial Processing: A Computational Study of Visual Search. NIPS Eyal Cohen, Eytan Ruppin
1996	—	`conf`	Co-Evolving Cellular Architectures by Cellular Programming. International Conference on Evolutionary Computation Moshe Sipper, Eytan Ruppin
1996	J	`jnl`	Frequency-Spatial Transformation: A Proposal for Parsimonious Intra-Cortical Communication. Int. J. Neural Syst. Regev Levi, Eytan Ruppin, Yossi Matias, James A. Reggia
1996	J	`jnl`	Neuronal-Based Synaptic Compensation: A Computational Study in Alzheimer's Disease. Neural Comput. David Horn, Nir Levy, Eytan Ruppin
1996	J	`jnl`	Optimal firing in sparsely-connected low-activity attractor networks. Biol. Cybern. Isaac Meilijson, Eytan Ruppin
1995	J	`jnl`	A single-iteration threshold Hamming network. IEEE Trans. Neural Networks Isaac Meilijson, Eytan Ruppin, Moshe Sipper
1995	J	`jnl`	Compensatory mechanisms in an attractor neural network model of schizophrenia. Neural Comput. David Horn, Eytan Ruppin
1995	J	`jnl`	Patterns of functional damage in neural network models of associative memory. Neural Comput. Eytan Ruppin, James A. Reggia
1994	—	`conf`	A Neural Model of Delusions and Hallucinations in Schizophrenia. NIPS Eytan Ruppin, James A. Reggia, David Horn
1994	—	`conf`	Patterns of damage in neural networks: The effects of lesion area, shape and number. NIPS Eytan Ruppin, James A. Reggia
1993	J	`jnl`	A neural model of the dynamic activation of memory. Biol. Cybern. Michael Herrmann, Eytan Ruppin, Marius Usher
1993	J	`jnl`	Examining the volume efficiency of the cortical architecture in a multi-processor network model. Biol. Cybern. Eytan Ruppin, Eric L. Schwartz, Yehezkel Yeshurun
1993	J	`jnl`	Neural Network Modeling of Memory Deterioration in Alzheimer's Disease. Neural Comput. David Horn, Eytan Ruppin, Marius Usher, Michael Herrmann
1993	—	`—`	Neural modeling of Memory processes in normal and pathological States Eytan Ruppin
1993	—	`conf`	Optimal Signalling in Attractor Neural Networks. NIPS Isaac Meilijson, Eytan Ruppin
1992	—	`conf`	History-Dependent Attractor Neural Networks. NIPS Isaac Meilijson, Eytan Ruppin
1992	—	`conf`	Single-Iteration Threshold Hamming Networks. NIPS Isaac Meilijson, Eytan Ruppin, Moshe Sipper
1990	—	`conf`	An Attractor Neural Network Model of Recall and Recognition. NIPS Eytan Ruppin, Yehezkel Yeshurun
1990	B	`conf`	An attractor neural network model of semantic fact retrieval. IJCNN Marius Usher, Eytan Ruppin