David Horn

Assaf Gottlieb, Roy Varshavsky, Michal Linial, David Horn: UFFizi: a generic platform for ranking informative features. BMC Bioinformatics 11: 300 (2010)

Uri Weingart, Erez Persi, Uri Gophna, David Horn: Deriving enzymatic and taxonomic signatures of metagenomes from short read data. BMC Bioinformatics 11: 390 (2010)

Benny Chor, David Horn, Nick Goldman, Yaron Levy, Tim Massingham: Genomic DNA k-mer Spectra: Models and Modalities. RECOMB 2010: 571

Uri Weingart, Yair Lavi, David Horn: Data mining of enzymes using specific peptides. BMC Bioinformatics 10: 446 (2009)

Marvin Weinstein, David Horn: Dynamic quantum clustering: a method for visual exploration of structures in data. CoRR abs/0908.2644 (2009)

David Horn: Syntactic structures in languages and biology. Cognitive Processing 9(3): 153-158 (2008)

Roy Varshavsky, Assaf Gottlieb, David Horn, Michal Linial: Unsupervised feature selection under perturbations: meeting the challenges of biological data. Bioinformatics 23(24): 3343-3349 (2007)

Vered Kunik, Yasmine Meroz, Zach Solan, Ben Sandbank, Uri Weingart, Eytan Ruppin, David Horn: Functional Representation of Enzymes by Specific Peptides. PLoS Computational Biology 3(8) (2007)

Roy Varshavsky, David Horn, Michal Linial: Clustering Algorithms Optimizer: A Framework for Large Datasets. ISBRA 2007: 85-96

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

Uri Barkan, David Horn: Spatiotemporal clustering of synchronized bursting events in neuronal networks. Neurocomputing 69(10-12): 1108-1111 (2006)

Roy Varshavsky, Assaf Gottlieb, Michal Linial, David Horn: Novel Unsupervised Feature Filtering of Biological Data. ISMB (Supplement of Bioinformatics) 2006: 507-513

Anat Elhalal, David Horn: In vitro neuronal networks: evidence for synaptic plasticity. Neurocomputing 65-66: 31-37 (2005)

Orit Kliper, David Horn, Brigitte Quenet: The inertial-DNF model: spatiotemporal coding on two time scales. Neurocomputing 65-66: 543-548 (2005)

Yuval Aviel, David Horn, Moshe Abeles: Memory Capacity of Balanced Networks. Neural Computation 17(3): 691-713 (2005)

Vered Kunik, Zach Solan, Shimon Edelman, Eytan Ruppin, David Horn: Motif Extraction and Protein Classification. CSB 2005: 80-85

Yishai M. Elyada, David Horn: Can Dynamic Neural Filters Produce Pseudo-Random Sequences?. ICANN (1) 2005: 211-216

Roy Varshavsky, Michal Linial, David Horn: COMPACT: A Comparative Package for Clustering Assessment. ISPA Workshops 2005: 159-167

Yuval Aviel, David Horn, Moshe Abeles: Synfire waves in small balanced networks. Neurocomputing 58-60: 123-127 (2004)

Erez Persi, David Horn, Ronen Segev, Eshel Ben-Jacob, Vladislav Volman: Neural modeling of synchronized bursting events. Neurocomputing 58-60: 179-184 (2004)

Erez Persi, David Horn, Vladislav Volman, Ronen Segev, Eshel Ben-Jacob: Modeling of Synchronized Bursting Events: The Importance of Inhomogeneity. Neural Computation 16(12): 2577-2595 (2004)

David Horn, Gideon Dror, Brigitte Quenet: Dynamic proximity of spatio-temporal sequences. IEEE Transactions on Neural Networks 15(5): 1002-1008 (2004)

David Horn, Inon Axel: Novel Clustering Algorithm for Microarray Expression Data in A Truncated SVD Space. Bioinformatics 19(9): 1110-1115 (2003)

Brigitte Quenet, David Horn: The Dynamic Neural Filter: A Binary Model of Spatiotemporal Coding. Neural Computation 15(2): 309-329 (2003)

Yuval Aviel, C. Mehring, Moshe Abeles, David Horn: On Embedding Synfire Chains in a Balanced Network. Neural Computation 15(6): 1321-1340 (2003)

Yuval Aviel, David Horn, Moshe Abeles: The Doubly Balanced Network of Spiking Neurons: A Memory Model with High Capacity. NIPS 2003

Zach Solan, David Horn, Eytan Ruppin, Shimon Edelman: Unsupervised Context Sensitive Language Acquisition from a Large Corpus. NIPS 2003

Yuval Aviel, E. Pavlov, Moshe Abeles, David Horn: Synfire chain in a balanced network. Neurocomputing 44-46: 285-292 (2002)

Zach Solan, Eytan Ruppin, David Horn, Shimon Edelman: Automatic Acquisition and Efficient Representation of Syntactic Structures. NIPS 2002: 91-98

Brigitte Quenet, David Horn, Gérard Dreyfus, Rémi Dubois: Temporal coding in an olfactory oscillatory model. Neurocomputing 38-40: 831-836 (2001)

Asa Ben-Hur, David Horn, Hava T. Siegelmann, Vladimir Vapnik: Support Vector Clustering. Journal of Machine Learning Research 2: 125-137 (2001)

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)

David Horn, Assaf Gottlieb: The Method of Quantum Clustering. NIPS 2001: 769-776

David Horn, Irit Opher: Complex dynamics of neuronal thresholds. Neurocomputing 32-33: 161-166 (2000)

David Horn, Nir Levy, Eytan Ruppin: Distributed synchrony in an attractor of spiking neurons. Neurocomputing 32-33: 409-414 (2000)

Asa Ben-Hur, Hava T. Siegelmann, David Horn, Vladimir Vapnik: A Support Vector Clustering Method. ICPR 2000: 2724-2727

Asa Ben-Hur, David Horn, Hava T. Siegelmann, Vladimir Vapnik: A Support Vector Method for Clustering. NIPS 2000: 367-373

David Horn, Nir Levy, Eytan Ruppin: The importance of nonlinear dendritic processing in multimodular memory networks. Neurocomputing 26-27: 389-394 (1999)

Nir Levy, David Horn, Eytan Ruppin: Associative Memory in a Multimodular Network. Neural Computation 11(7): 1717-1737 (1999)

David Horn, Nir Levy, Isaac Meilijson, Eytan Ruppin: Distributed Synchrony of Spiking Neurons in a Hebbian Cell Assembly. NIPS 1999: 129-135

Ofer Hendin, David Horn, Misha Tsodyks: Associative Memory and Segmentation in an Oscillatory Neural Model of the Olfactory Bulb. Journal of Computational Neuroscience 5(2): 157-169 (1998)

David Horn, Nir Levy, Eytan Ruppin: Memory Maintenance via Neuronal Regulation. Neural Computation 10(1): 1-18 (1998)

David Horn, Sharon Levanda: Fast Temporal Encoding and Decoding with Spiking Neurons. Neural Computation 10(7): 1705-1720 (1998)

Gad Miller, David Horn: Probability Density Estimation Using Entropy Maximization. Neural Computation 10(7): 1925-1938 (1998)

Gideon Dror, Halina Abramowicz, David Horn: Vertex Identification in High Energy Physics Experiments. NIPS 1998: 868-874

David Horn: Book Review: "How we Learn; How we Remember; Toward an Understanding of Brain and Neural Systems", by Leon N. Cooper. Int. J. Neural Syst. 8(3): 361-363 (1997)

Ofer Hendin, David Horn, Misha Tsodyks: The Role of Inhibition in an Associative Memory Model of the Olfactory Bulb. Journal of Computational Neuroscience 4(2): 173-182 (1997)

David Horn, Irit Opher: Solitary Waves of Integrate-and-Fire Neural Fields. Neural Computation 9(8): 1677-1690 (1997)

Nir Levy, David Horn, Eytan Ruppin: Multi-modular Associative Memory. NIPS 1997

David Horn, Irit Opher: The Importance of Noise for Segmentation and Binding in Dynamical Neural Systems. Int. J. Neural Syst. 7(4): 529-536 (1996)

David Horn, Irit Opher: Temporal segmentation in a neural dynamic system. Neural Computation 8(2): 373-389 (1996)

David Horn, Ury Naftaly, Nathan Intrator: Large Ensemble Averaging. Neural Networks: Tricks of the Trade 1996: 133-139

Halina Abramowicz, David Horn, Ury Naftaly, Carmit Sahar-Pikielny: An Orientation Selective Neural Network for Pattern Identification in Particle Detectors. NIPS 1996: 925-931

David Horn, Eytan Ruppin: Compensatory mechanisms in an attractor neural network model of schizophrenia. Neural Computation 7(1): 182-205 (1995)

Eytan Ruppin, James A. Reggia, David Horn: A Neural Model of Delusions and Hallucinations in Schizophrenia. NIPS 1994: 149-156

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)

Iris Ginzburg, David Horn: Combined Neural Networks for Time Series Analysis. NIPS 1993: 224-231

I. Ginzberg, David Horn: Learning the Rule of a Time Series. Int. J. Neural Syst. 3(2): 167-177 (1992)

Ofer Hendin, David Horn, Marius Usher: Chaotic Behavior of A Neural Network with Dynamical Thresholds. Int. J. Neural Syst. 1(4): 327-335 (1991)

David Horn, Marius Usher: Oscillatory Model of Short Term Memory. NIPS 1991: 125-132

David Horn, Marius Usher: Excitatory-Inhibitory Networks with Dynamical Thresholds. Int. J. Neural Syst. 1(3): 249-257 (1990)