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ORCIDEytan Ruppin
Person information
- affiliation: Tel Aviv University, Blavatnik School of Computer Science, Israel
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Books and Theses
- 1993
[b1]Eytan Ruppin:
Neural modeling of Memory processes in normal and pathological States. Tel Aviv University, Israel, 1993
Journal Articles
- 2024
- [j80]Yingying Cao, Tian-Gen Chang
, Sahil Sahni, Eytan Ruppin:
Reusability report: Leveraging supervised learning to uncover phenotype-relevant biology from single-cell RNA sequencing data. Nat. Mac. Intell. 6(3): 307-314 (2024) - 2017
- [j79]Miquel Duran-Frigola, Lydia Siragusa, Eytan Ruppin, Xavier Barril, Gabriele Cruciani, Patrick Aloy:
Detecting similar binding pockets to enable systems polypharmacology. PLoS Comput. Biol. 13(6) (2017) - 2016
- [j78]Arnon Mazza, Allon Wagner, Eytan Ruppin, Roded Sharan:
Functional Alignment of Metabolic Networks. J. Comput. Biol. 23(5): 390-399 (2016) - [j77]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:
Systems-Wide Prediction of Enzyme Promiscuity Reveals a New Underground Alternative Route for Pyridoxal 5'-Phosphate Production in E. coli. PLoS Comput. Biol. 12(1) (2016) - [j76]Noam Auslander, Allon Wagner, Matthew A. Oberhardt, Eytan Ruppin:
Data-Driven Metabolic Pathway Compositions Enhance Cancer Survival Prediction. PLoS Comput. Biol. 12(9) (2016) - 2014
- [j75]Raphy Zarecki, Matthew A. Oberhardt, Leah Reshef, Uri Gophna, Eytan Ruppin:
A Novel Nutritional Predictor Links Microbial Fastidiousness with Lowered Ubiquity, Growth Rate, and Cooperativeness. PLoS Comput. Biol. 10(7) (2014) - 2012
- [j74]Yael Silberberg, Assaf Gottlieb, Martin Kupiec, Eytan Ruppin, Roded Sharan:
Large-Scale Elucidation of Drug Response Pathways in Humans. J. Comput. Biol. 19(2): 163-174 (2012) - [j73]Liram Vardi, Eytan Ruppin, Roded Sharan:
A Linearized Constraint-Based Approach for Modeling Signaling Networks. J. Comput. Biol. 19(2): 232-240 (2012) - [j72]Oded Magger, Yedael Y. Waldman, Eytan Ruppin, Roded Sharan:
Enhancing the Prioritization of Disease-Causing Genes through Tissue Specific Protein Interaction Networks. PLoS Comput. Biol. 8(9) (2012) - 2011
- [j71]Assaf Gottlieb, Oded Magger, Igor Berman, Eytan Ruppin, Roded Sharan:
PRINCIPLE: a tool for associating genes with diseases via network propagation. Bioinform. 27(23): 3325-3326 (2011) - [j70]Liat Perlman, Assaf Gottlieb, Nir Atias, Eytan Ruppin, Roded Sharan:
Combining Drug and Gene Similarity Measures for Drug-Target Elucidation. J. Comput. Biol. 18(2): 133-145 (2011) - [j69]Tomer Shlomi, Tomer Benyamini, Eyal Gottlieb, Roded Sharan, Eytan Ruppin:
Genome-Scale Metabolic Modeling Elucidates the Role of Proliferative Adaptation in Causing the Warburg Effect. PLoS Comput. Biol. 7(3) (2011) - [j68]Lior Wolf, Chen Goldberg, Nathan Manor, Roded Sharan, Eytan Ruppin:
Gene Expression in the Rodent Brain is Associated with Its Regional Connectivity. PLoS Comput. Biol. 7(5) (2011) - [j67]Shlomi Reuveni, Isaac Meilijson, Martin Kupiec, Eytan Ruppin, Tamir Tuller:
Genome-Scale Analysis of Translation Elongation with a Ribosome Flow Model. PLoS Comput. Biol. 7(9) (2011) - 2010
- [j66]Keren Yizhak, Tomer Benyamini, Wolfram Liebermeister, Eytan Ruppin, Tomer Shlomi:
Integrating quantitative proteomics and metabolomics with a genome-scale metabolic network model. Bioinform. 26(12): 255-260 (2010) - [j65]Hadas Zur, Eytan Ruppin, Tomer Shlomi:
iMAT: an integrative metabolic analysis tool. Bioinform. 26(24): 3140-3142 (2010) - [j64]Tamir Tuller, Hadas Birin, Martin Kupiec, Eytan Ruppin:
Reconstructing Ancestral Genomic Sequences by Co-Evolution: Formal Definitions, Computational Issues, and Biological Examples. J. Comput. Biol. 17(9): 1327-1344 (2010) - [j63]Gilad Wainreb, Haim Ashkenazy, Yana Bromberg, Alina Starovolsky-Shitrit, Turkan Haliloglu, Eytan Ruppin, Karen B. Avraham, Burkhard Rost, Nir Ben-Tal:
MuD: an interactive web server for the prediction of non-neutral substitutions using protein structural data. Nucleic Acids Res. 38(Web-Server-Issue): 523-528 (2010) - [j62]Tal Peleg, Nir Yosef, Eytan Ruppin, Roded Sharan:
Network-Free Inference of Knockout Effects in Yeast. PLoS Comput. Biol. 6(1) (2010) - [j61]Oron Vanunu, Oded Magger, Eytan Ruppin, Tomer Shlomi, Roded Sharan:
Associating Genes and Protein Complexes with Disease via Network Propagation. PLoS Comput. Biol. 6(1) (2010) - [j60]Shiri Freilich, Anat Kreimer, Elhanan Borenstein, Uri Gophna, Roded Sharan, Eytan Ruppin:
Decoupling Environment-Dependent and Independent Genetic Robustness across Bacterial Species. PLoS Comput. Biol. 6(2) (2010) - 2009
- [j59]Shira Mintz-Oron, Asaph Aharoni, Eytan Ruppin, Tomer Shlomi:
Network-based prediction of metabolic enzymes' subcellular localization. Bioinform. 25(12) (2009) - [j58]Tamir Tuller, Udi Rubinstein, Dani Bar, Michael Gurevich, Eytan Ruppin, Martin Kupiec:
Higher-Order Genomic Organization of Cellular Functions in Yeast. J. Comput. Biol. 16(2): 303-316 (2009) - 2008
- [j57]David Deutscher, Isaac Meilijson, Stefan Schuster, Eytan Ruppin:
Can single knockouts accurately single out gene functions? BMC Syst. Biol. 2: 50 (2008) - [j56]Banu Dost, Tomer Shlomi, Nitin Gupta, Eytan Ruppin, Vineet Bafna, Roded Sharan:
QNet: A Tool for Querying Protein Interaction Networks. J. Comput. Biol. 15(7): 913-925 (2008) - 2007
- [j55]Nir Yosef, Zohar Yakhini, Anya Tsalenko, Vessela N. Kristensen, Anne-Lise Børresen-Dale, Eytan Ruppin, Roded Sharan:
A supervised approach for identifying discriminating genotype patterns and its application to breast cancer data. Bioinform. 23(2): 91-98 (2007) - [j54]Irit Fishel, Alon Kaufman, Eytan Ruppin:
Meta-analysis of gene expression data: a predictor-based approach. Bioinform. 23(13): 1599-1606 (2007) - [j53]Oleg Rokhlenko, Tomer Shlomi, Roded Sharan, Eytan Ruppin, Ron Y. Pinter:
Constraint-based functional similarity of metabolic genes: going beyond network topology. Bioinform. 23(16): 2139-2146 (2007) - [j52]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. Bioinform. 23(23): 3244-3246 (2007) - [j51]Ofer Meshi, Tomer Shlomi, Eytan Ruppin:
Evolutionary conservation and over-representation of functionally enriched network patterns in the yeast regulatory network. BMC Syst. Biol. 1: 1 (2007) - [j50]Shay B. Cohen, Gideon Dror, Eytan Ruppin:
Feature Selection via Coalitional Game Theory. Neural Comput. 19(7): 1939-1961 (2007) - [j49]Vered Kunik, Yasmine Meroz, Zach Solan, Ben Sandbank, Uri Weingart, Eytan Ruppin, David Horn:
Functional Representation of Enzymes by Specific Peptides. PLoS Comput. Biol. 3(8) (2007) - [j48]Tamir Tuller, Martin Kupiec, Eytan Ruppin:
Determinants of Protein Abundance and Translation Efficiency in S. cerevisiae. PLoS Comput. Biol. 3(12) (2007) - 2006
- [j47]Keren Saggie-Wexler, Alon Keinan, Eytan Ruppin:
Neural Processing of Counting in Evolved Spiking and McCulloch-Pitts Agents. Artif. Life 12(1): 1-16 (2006) - [j46]Alon Keinan, Ben Sandbank, Claus C. Hilgetag, Isaac Meilijson, Eytan Ruppin:
Axiomatic Scalable Neurocontroller Analysis via the Shapley Value. Artif. Life 12(3): 333-352 (2006) - [j45]Zohar Ganon, Alon Keinan, Eytan Ruppin:
Neurocontroller Analysis via Evolutionary Network Minimization. Artif. Life 12(3): 435-448 (2006) - [j44]Tomer Shlomi, Daniel Segal, Eytan Ruppin, Roded Sharan:
QPath: a method for querying pathways in a protein-protein interaction network. BMC Bioinform. 7: 199 (2006) - [j43]Silpa Suthram, Tomer Shlomi, Eytan Ruppin, Roded Sharan, Trey Ideker:
A direct comparison of protein interaction confidence assignment schemes. BMC Bioinform. 7: 360 (2006) - [j42]Yael Eisenthal, Gideon Dror, Eytan Ruppin:
Facial Attractiveness: Beauty and the Machine. Neural Comput. 18(1): 119-142 (2006) - [j41]Yonatan Bilu, Tomer Shlomi, Naama Barkai, Eytan Ruppin:
Conservation of Expression and Sequence of Metabolic Genes Is Reflected by Activity Across Metabolic States. PLoS Comput. Biol. 2(8) (2006) - [j40]Alon Kaufman, Gideon Dror, Isaac Meilijson, Eytan Ruppin:
Gene Expression of Caenorhabditis elegans Neurons Carries Information on Their Synaptic Connectivity. PLoS Comput. Biol. 2(12) (2006) - 2005
- [j39]Elhanan Borenstein, Eytan Ruppin:
The evolution of imitation and mirror neurons in adaptive agents. Cogn. Syst. Res. 6(3): 229-242 (2005) - [j38]Alon Kaufman, Alon Keinan, Isaac Meilijson, Martin Kupiec, Eytan Ruppin:
Quantitative Analysis of Genetic and Neuronal Multi-Perturbation Experiments. PLoS Comput. Biol. 1(6) (2005) - [j37]Zach Solan, David Horn, Eytan Ruppin, Shimon Edelman:
Unsupervised learning of natural languages. Proc. Natl. Acad. Sci. USA 102(33): 11629-11634 (2005) - 2004
- [j36]Alon Keinan, Claus C. Hilgetag, Isaac Meilijson, Eytan Ruppin:
Causal localization of neural function: the Shapley value method. Neurocomputing 58-60: 215-222 (2004) - [j35]Keren Saggie, Alon Keinan, Eytan Ruppin:
Spikes that count: rethinking spikiness in neurally embedded systems. Neurocomputing 58-60: 303-311 (2004) - [j34]Alon Keinan, Ben Sandbank, Claus C. Hilgetag, Isaac Meilijson, Eytan Ruppin:
Fair Attribution of Functional Contribution in Artificial and Biological Networks. Neural Comput. 16(9): 1887-1915 (2004) - [j33]Alon Keinan, Alon Kaufman, Nadia Sachs, Claus C. Hilgetag, Eytan Ruppin:
Fair localization of function via multi-lesion analysis. Neuroinformatics 2(2): 163-168 (2004) - 2003
- [j32]Lior Segev, Ranit Aharonov-Barki, Isaac Meilijson, Eytan Ruppin:
High-Dimensional Analysis of Evolutionary Autonomous Agents. Artif. Life 9(1): 1-20 (2003) - [j31]Shlomy Boshy, Eytan Ruppin:
Evolving Small Neurocontrollers with Self-Organized Compact Encoding. Artif. Life 9(2): 131-151 (2003) - [j30]Ranit Aharonov-Barki, Lior Segev, Isaac Meilijson, Eytan Ruppin:
Localization of Function via Lesion Analysis. Neural Comput. 15(4): 885-913 (2003) - 2002
- [j29]Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Ruppin:
Evolution of Reinforcement Learning in Uncertain Environments: A Simple Explanation for Complex Foraging Behaviors. Adapt. Behav. 10(1): 5-24 (2002) - [j28]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) - [j27]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) - [j26]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) - 2001
- [j25]Tuvik Beker, Ranit Aharonov-Barki, Eytan Ruppin:
Emerging command neuron circuitry in evolved autonomous agents. Neurocomputing 38-40: 1101-1106 (2001) - [j24]Ranit Aharonov-Barki, Tuvik Beker, Eytan Ruppin:
Emergence of Memory-Driven Command Neurons in Evolved Artificial Agents. Neural Comput. 13(3): 691-716 (2001) - [j23]Gal Chechik, Isaac Meilijson, Eytan Ruppin:
Effective Neuronal Learning with Ineffective Hebbian Learning Rules. Neural Comput. 13(4): 817-840 (2001) - [j22]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) - 2000
- [j21]Gal Chechik, Isaac Meilijson, Eytan Ruppin:
Neuronal normalization provides effective learning through ineffective synaptic learning rules. Neurocomputing 32-33: 345-351 (2000) - [j20]David Horn, Nir Levy, Eytan Ruppin:
Distributed synchrony in an attractor of spiking neurons. Neurocomputing 32-33: 409-414 (2000) - [j19]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
- [j18]Eytan Ruppin, Elad Ofer, James A. Reggia, Kenneth Revett, Sharon Goodall:
Pathogenic mechanisms in ischemic damage: a computational study. Comput. Biol. Medicine 29(1): 39-59 (1999) - [j17]David Horn, Nir Levy, Eytan Ruppin:
The importance of nonlinear dendritic processing in multimodular memory networks. Neurocomputing 26-27: 389-394 (1999) - [j16]Gal Chechik, Isaac Meilijson, Eytan Ruppin:
Neuronal regulation: A biologically plausible mechanism for efficient synaptic pruning in development. Neurocomputing 26-27: 633-639 (1999) - [j15]Nir Levy, David Horn, Eytan Ruppin:
Associative Memory in a Multimodular Network. Neural Comput. 11(7): 1717-1737 (1999) - [j14]Gal Chechik, Isaac Meilijson, Eytan Ruppin:
Neuronal Regulation: A Mechanism for Synaptic Pruning During Brain Maturation. Neural Comput. 11(8): 2061-2080 (1999) - 1998
- [j13]Eytan Ruppin, James A. Reggia:
Seeking order in disorder: computational studies of neurologic and psychiatric diseases. Artif. Intell. Medicine 13(1-2): 1-12 (1998) - [j12]David Horn, Nir Levy, Eytan Ruppin:
Memory Maintenance via Neuronal Regulation. Neural Comput. 10(1): 1-18 (1998) - [j11]Asnat Greenstein-Messica, Eytan Ruppin:
Synaptic Runaway In Associative Networks And The Pathogenesis Of Schizophrenia. Neural Comput. 10(2): 451-465 (1998) - [j10]Gal Chechik, Isaac Meilijson, Eytan Ruppin:
Synaptic Pruning In Development: A Computational Account. Neural Comput. 10(7): 1759-1777 (1998) - 1996
- [j9]Isaac Meilijson, Eytan Ruppin:
Optimal firing in sparsely-connected low-activity attractor networks. Biol. Cybern. 74(6): 479-485 (1996) - [j8]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) - [j7]David Horn, Nir Levy, Eytan Ruppin:
Neuronal-Based Synaptic Compensation: A Computational Study in Alzheimer's Disease. Neural Comput. 8(6): 1227-1243 (1996) - 1995
- [j6]David Horn, Eytan Ruppin:
Compensatory mechanisms in an attractor neural network model of schizophrenia. Neural Comput. 7(1): 182-205 (1995) - [j5]Eytan Ruppin, James A. Reggia:
Patterns of functional damage in neural network models of associative memory. Neural Comput. 7(5): 1105-1127 (1995) - [j4]Isaac Meilijson, Eytan Ruppin, Moshe Sipper:
A single-iteration threshold Hamming network. IEEE Trans. Neural Networks 6(1): 261-266 (1995) - 1993
- [j3]Michael Herrmann, Eytan Ruppin, Marius Usher:
A neural model of the dynamic activation of memory. Biol. Cybern. 68(5): 455-463 (1993) - [j2]Eytan Ruppin, Eric L. Schwartz, Yehezkel Yeshurun:
Examining the volume efficiency of the cortical architecture in a multi-processor network model. Biol. Cybern. 70(1): 89-94 (1993) - [j1]David Horn, Eytan Ruppin, Marius Usher, Michael Herrmann:
Neural Network Modeling of Memory Deterioration in Alzheimer's Disease. Neural Comput. 5(5): 736-749 (1993)
Conference and Workshop Papers
- 2023
- [c37]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:
A SSIM Guided cGAN Architecture For Clinically Driven Generative Image Synthesis of Multiplexed Spatial Proteomics Channels. CIBCB 2023: 1-8 - 2015
- [c36]Arnon Mazza, Allon Wagner, Eytan Ruppin, Roded Sharan:
Functional Alignment of Metabolic Networks. RECOMB 2015: 243-255 - 2011
- [c35]Shlomi Reuveni, Isaac Meilijson, Martin Kupiec, Eytan Ruppin, Tamir Tuller:
A Ribosome Flow Model for Analyzing Translation Elongation - (Extended Abstract). RECOMB 2011: 358-360 - 2009
- [c34]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 - 2007
- [c33]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 - [c32]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 - [c31]Banu Dost, Tomer Shlomi, Nitin Gupta, Eytan Ruppin, Vineet Bafna, Roded Sharan:
QNet: A Tool for Querying Protein Interaction Networks. RECOMB 2007: 1-15 - 2006
- [c30]Nir Yosef, Alon Kaufman, Eytan Ruppin:
Inferring Functional Pathways from Multi-Perturbation Data. ISMB (Supplement of Bioinformatics) 2006: 539-546 - [c29]Amit Kagian, Gideon Dror, Tommer Leyvand, Daniel Cohen-Or, Eytan Ruppin:
A Humanlike Predictor of Facial Attractiveness. NIPS 2006: 649-656 - [c28]Oleg Rokhlenko, Tomer Shlomi, Roded Sharan, Eytan Ruppin, Ron Y. Pinter:
Flux-Based vs. Topology-Based Similarity of Metabolic Genes. WABI 2006: 274-285 - 2005
- [c27]Vered Kunik, Zach Solan, Shimon Edelman, Eytan Ruppin, David Horn:
Motif Extraction and Protein Classification. CSB 2005: 80-85 - [c26]Shay B. Cohen, Eytan Ruppin, Gideon Dror:
Feature Selection Based on the Shapley Value. IJCAI 2005: 665-670 - [c25]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
- [c24]Alon Kaufman, Martin Kupiec, Eytan Ruppin:
Multi-Knockout Genetic Network Analysis: The Rad6 Example. CSB 2004: 332-340 - 2003
- [c23]Keren Saggie, Alon Keinan, Eytan Ruppin:
Solving a Delayed Response Task with Spiking. ECAL 2003: 199-208 - [c22]Zohar Ganon, Alon Keinan, Eytan Ruppin:
Evolutionary Network Minimization: Adaptive Implicit Pruning of Successful Agents. ECAL 2003: 319-327 - [c21]Hezi Avraham, Gal Chechik, Eytan Ruppin:
Are There Representations in Embodied Evolved Agents? Taking Measures. ECAL 2003: 743-752 - [c20]Zach Solan, David Horn, Eytan Ruppin, Shimon Edelman:
Unsupervised Context Sensitive Language Acquisition from a Large Corpus. NIPS 2003: 961-968 - 2002
- [c19]Zach Solan, Eytan Ruppin, David Horn, Shimon Edelman:
Automatic Acquisition and Efficient Representation of Syntactic Structures. NIPS 2002: 91-98 - 2001
- [c18]Ranit Aharonov-Barki, Isaac Meilijson, Eytan Ruppin:
Understanding the Agent's Brain: A Quantitative Approach. ECAL 2001: 216-225 - [c17]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 - [c16]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 - 2000
- [c15]Ranit Aharonov-Barki, Isaac Meilijson, Eytan Ruppin:
Who Does What? A Novel Algorithm to Determine Function Localization. NIPS 2000: 3-9 - 1999
- [c14]Ranit Aharonov-Barki, Tuvik Beker, Eytan Ruppin:
Spontaneous Evolution of Command Neurons, Place Cells and Memory Mechanisms in Autonomous Agents. ECAL 1999: 246-255 - [c13]Gal Chechik, Isaac Meilijson, Eytan Ruppin:
Effective Learning Requires Neuronal Remodeling of Hebbian Synapses. NIPS 1999: 96-102 - [c12]David Horn, Nir Levy, Isaac Meilijson, Eytan Ruppin:
Distributed Synchrony of Spiking Neurons in a Hebbian Cell Assembly. NIPS 1999: 129-135 - 1998
- [c11]Gal Chechik, Isaac Meilijson, Eytan Ruppin:
Neuronal Regulation Implements Efficient Synaptic Pruning. NIPS 1998: 97-103 - 1997
- [c10]Eyal Cohen, Eytan Ruppin:
On Parallel versus Serial Processing: A Computational Study of Visual Search. NIPS 1997: 10-16 - [c9]Nir Levy, David Horn, Eytan Ruppin:
Multi-modular Associative Memory. NIPS 1997: 52-58 - 1996
- [c8]Moshe Sipper, Eytan Ruppin:
Co-Evolving Cellular Architectures by Cellular Programming. International Conference on Evolutionary Computation 1996: 306-311 - 1994
- [c7]Eytan Ruppin, James A. Reggia:
Patterns of damage in neural networks: The effects of lesion area, shape and number. NIPS 1994: 35-42 - [c6]Eytan Ruppin, James A. Reggia, David Horn:
A Neural Model of Delusions and Hallucinations in Schizophrenia. NIPS 1994: 149-156 - 1993
- [c5]Isaac Meilijson, Eytan Ruppin:
Optimal Signalling in Attractor Neural Networks. NIPS 1993: 485-492 - 1992
- [c4]Isaac Meilijson, Eytan Ruppin, Moshe Sipper:
Single-Iteration Threshold Hamming Networks. NIPS 1992: 564-571 - [c3]Isaac Meilijson, Eytan Ruppin:
History-Dependent Attractor Neural Networks. NIPS 1992: 572-579 - 1990
- [c2]Marius Usher, Eytan Ruppin:
An attractor neural network model of semantic fact retrieval. IJCNN 1990: 683-688 - [c1]Eytan Ruppin, Yehezkel Yeshurun:
An Attractor Neural Network Model of Recall and Recognition. NIPS 1990: 642-648
Parts in Books or Collections
- 2008
- [p2]Nir Yosef, Eytan Ruppin, Roded Sharan:
Cross-Species Analysis of Protein-protein Interaction Networks. Protein-protein Interactions and Networks 2008: 163-185 - 1998
- [p1]Isaac Meilijson, Eytan Ruppin, Moshe Sipper:
Fast computation in hamming and hopfield networks. Algorithms and Architectures 1998: 123-154
Informal and Other Publications
- 2022
- [i1]Jillur Rahman Saurav, Mohammad Sadegh Nasr, Paul Koomey, Michael Robben, Manfred Huber, Jon Weidanz, Bríd Ryan, Eytan Ruppin, Peng Jiang, Jacob M. Luber:
A SSIM Guided cGAN Architecture For Clinically Driven Generative Image Synthesis of Multiplexed Spatial Proteomics Channels. CoRR abs/2205.10373 (2022)
Coauthor Index
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