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ORCIDDavid Horn 0001
Person information
- affiliation: Tel Aviv University, School of Physics and Astronomy, Israel
Other persons with the same name
- David Horn — disambiguation page
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Journal Articles
- 2022
[j48]Elihu Sela, Shan Huang
, David Horn:
Deep Learning Study of an Electromagnetic Calorimeter. Algorithms 15(4): 115 (2022)- 2018
- [j47]Lior Deutsch, David Horn:
The Weight-Shape decomposition of density estimates: A framework for clustering and image analysis algorithms. Pattern Recognit. 81: 190-199 (2018) - 2013
- [j46]Erez Persi, David Horn:
Systematic Analysis of Compositional Order of Proteins Reveals New Characteristics of Biological Functions and a Universal Correlate of Macroevolution. PLoS Comput. Biol. 9(11) (2013) - 2010
- [j45]Assaf Gottlieb, Roy Varshavsky, Michal Linial, David Horn:
UFFizi: a generic platform for ranking informative features. BMC Bioinform. 11: 300 (2010) - [j44]Uri Weingart, Erez Persi, Uri Gophna, David Horn:
Deriving enzymatic and taxonomic signatures of metagenomes from short read data. BMC Bioinform. 11: 390 (2010) - 2009
- [j43]Uri Weingart, Yair Lavi, David Horn:
Data mining of enzymes using specific peptides. BMC Bioinform. 10: 446 (2009) - 2008
- [j42]David Horn:
Syntactic structures in languages and biology. Cogn. Process. 9(3): 153-158 (2008) - 2007
- [j41]Roy Varshavsky, Assaf Gottlieb, David Horn, Michal Linial:
Unsupervised feature selection under perturbations: meeting the challenges of biological data. Bioinform. 23(24): 3343-3349 (2007) - [j40]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) - 2006
- [j39]Uri Barkan, David Horn:
Spatiotemporal clustering of synchronized bursting events in neuronal networks. Neurocomputing 69(10-12): 1108-1111 (2006) - 2005
- [j38]Anat Elhalal, David Horn:
In vitro neuronal networks: evidence for synaptic plasticity. Neurocomputing 65-66: 31-37 (2005) - [j37]Orit Kliper, David Horn, Brigitte Quenet:
The inertial-DNF model: spatiotemporal coding on two time scales. Neurocomputing 65-66: 543-548 (2005) - [j36]Yuval Aviel, David Horn, Moshe Abeles:
Memory Capacity of Balanced Networks. Neural Comput. 17(3): 691-713 (2005) - [j35]Zach Solan, David Horn, Eytan Ruppin, Shimon Edelman:
Unsupervised learning of natural languages. Proc. Natl. Acad. Sci. USA 102(33): 11629-11634 (2005) - 2004
- [j34]Yuval Aviel, David Horn, Moshe Abeles:
Synfire waves in small balanced networks. Neurocomputing 58-60: 123-127 (2004) - [j33]Erez Persi, David Horn, Ronen Segev, Eshel Ben-Jacob, Vladislav Volman:
Neural modeling of synchronized bursting events. Neurocomputing 58-60: 179-184 (2004) - [j32]Orit Kliper, David Horn, Brigitte Quenet, Gideon Dror:
Analysis of spatiotemporal patterns in a model of olfaction. Neurocomputing 58-60: 1027-1032 (2004) - [j31]Erez Persi, David Horn, Vladislav Volman, Ronen Segev, Eshel Ben-Jacob:
Modeling of Synchronized Bursting Events: The Importance of Inhomogeneity. Neural Comput. 16(12): 2577-2595 (2004) - [j30]David Horn, Gideon Dror, Brigitte Quenet:
Dynamic proximity of spatio-temporal sequences. IEEE Trans. Neural Networks 15(5): 1002-1008 (2004) - 2003
- [j29]David Horn, Inon Axel:
Novel Clustering Algorithm for Microarray Expression Data in A Truncated SVD Space. Bioinform. 19(9): 1110-1115 (2003) - [j28]David Horn, Brigitte Quenet, Gideon Dror, Orit Kliper:
Modeling neural spatiotemporal behavior. Neurocomputing 52-54: 799-804 (2003) - [j27]Brigitte Quenet, David Horn:
The Dynamic Neural Filter: A Binary Model of Spatiotemporal Coding. Neural Comput. 15(2): 309-329 (2003) - [j26]Yuval Aviel, Carsten Mehring, Moshe Abeles, David Horn:
On Embedding Synfire Chains in a Balanced Network. Neural Comput. 15(6): 1321-1340 (2003) - 2002
- [j25]Yuval Aviel, Elan Pavlov, Moshe Abeles, David Horn:
Synfire chain in a balanced network. Neurocomputing 44-46: 285-292 (2002) - 2001
- [j24]Brigitte Quenet, David Horn, Gérard Dreyfus, Rémi Dubois:
Temporal coding in an olfactory oscillatory model. Neurocomputing 38-40: 831-836 (2001) - [j23]Asa Ben-Hur, David Horn, Hava T. Siegelmann, Vladimir Vapnik:
Support Vector Clustering. J. Mach. Learn. Res. 2: 125-137 (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]David Horn, Irit Opher:
Complex dynamics of neuronal thresholds. Neurocomputing 32-33: 161-166 (2000) - [j20]David Horn, Nir Levy, Eytan Ruppin:
Distributed synchrony in an attractor of spiking neurons. Neurocomputing 32-33: 409-414 (2000) - 1999
- [j19]David Horn, Nir Levy, Eytan Ruppin:
The importance of nonlinear dendritic processing in multimodular memory networks. Neurocomputing 26-27: 389-394 (1999) - [j18]Nir Levy, David Horn, Eytan Ruppin:
Associative Memory in a Multimodular Network. Neural Comput. 11(7): 1717-1737 (1999) - 1998
- [j17]Ofer Hendin, David Horn, Misha Tsodyks:
Associative Memory and Segmentation in an Oscillatory Neural Model of the Olfactory Bulb. J. Comput. Neurosci. 5(2): 157-169 (1998) - [j16]David Horn, Nir Levy, Eytan Ruppin:
Memory Maintenance via Neuronal Regulation. Neural Comput. 10(1): 1-18 (1998) - [j15]David Horn, Sharon Levanda:
Fast Temporal Encoding and Decoding with Spiking Neurons. Neural Comput. 10(7): 1705-1720 (1998) - [j14]Gad Miller, David Horn:
Probability Density Estimation Using Entropy Maximization. Neural Comput. 10(7): 1925-1938 (1998) - 1997
- [j13]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) - [j12]Ofer Hendin, David Horn, Misha Tsodyks:
The Role of Inhibition in an Associative Memory Model of the Olfactory Bulb. J. Comput. Neurosci. 4(2): 173-182 (1997) - [j11]David Horn, Irit Opher:
Solitary Waves of Integrate-and-Fire Neural Fields. Neural Comput. 9(8): 1677-1690 (1997) - 1996
- [j10]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) - [j9]David Horn, Irit Opher:
Temporal segmentation in a neural dynamic system. Neural Comput. 8(2): 373-389 (1996) - [j8]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
- [j7]David Horn, Eytan Ruppin:
Compensatory mechanisms in an attractor neural network model of schizophrenia. Neural Comput. 7(1): 182-205 (1995) - 1993
- [j6]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) - 1992
- [j5]I. Ginzberg, David Horn:
Learning the Rule of a Time Series. Int. J. Neural Syst. 3(2): 167-177 (1992) - 1991
- [j4]Ofer Hendin, David Horn, Marius Usher:
Chaotic Behavior of A Neural Network with Dynamical Thresholds. Int. J. Neural Syst. 1(4): 327-335 (1991) - [j3]David Horn, Marius Usher:
Parallel Activation of Memories in an Oscillatory Neural Network. Neural Comput. 3(1): 31-43 (1991) - [j2]David Horn, D. Sagi, Marius Usher:
Segmentation, Binding, and Illusory Conjunctions. Neural Comput. 3(4): 510-525 (1991) - 1990
- [j1]David Horn, Marius Usher:
Excitatory-Inhibitory Networks with Dynamical Thresholds. Int. J. Neural Syst. 1(3): 249-257 (1990)
Conference and Workshop Papers
- 2010
- [c21]Benny Chor, David Horn, Nick Goldman, Yaron Levy, Tim Massingham:
Genomic DNA k-mer Spectra: Models and Modalities. RECOMB 2010: 571 - 2007
- [c20]Roy Varshavsky, David Horn, Michal Linial:
Clustering Algorithms Optimizer: A Framework for Large Datasets. ISBRA 2007: 85-96 - [c19]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 - 2006
- [c18]Roy Varshavsky, Assaf Gottlieb, Michal Linial, David Horn:
Novel Unsupervised Feature Filtering of Biological Data. ISMB (Supplement of Bioinformatics) 2006: 507-513 - 2005
- [c17]Vered Kunik, Zach Solan, Shimon Edelman, Eytan Ruppin, David Horn:
Motif Extraction and Protein Classification. CSB 2005: 80-85 - [c16]Yishai M. Elyada, David Horn:
Can Dynamic Neural Filters Produce Pseudo-Random Sequences?. ICANN (1) 2005: 211-216 - [c15]Roy Varshavsky, Michal Linial, David Horn:
COMPACT: A Comparative Package for Clustering Assessment. ISPA Workshops 2005: 159-167 - 2003
- [c14]Zach Solan, David Horn, Eytan Ruppin, Shimon Edelman:
Unsupervised Context Sensitive Language Acquisition from a Large Corpus. NIPS 2003: 961-968 - [c13]Yuval Aviel, David Horn, Moshe Abeles:
The Doubly Balanced Network of Spiking Neurons: A Memory Model with High Capacity. NIPS 2003: 1247-1254 - 2002
- [c12]Zach Solan, Eytan Ruppin, David Horn, Shimon Edelman:
Automatic Acquisition and Efficient Representation of Syntactic Structures. NIPS 2002: 91-98 - 2001
- [c11]David Horn, Assaf Gottlieb:
The Method of Quantum Clustering. NIPS 2001: 769-776 - 2000
- [c10]Asa Ben-Hur, Hava T. Siegelmann, David Horn, Vladimir Vapnik:
A Support Vector Clustering Method. ICPR 2000: 2724-2727 - [c9]Asa Ben-Hur, David Horn, Hava T. Siegelmann, Vladimir Vapnik:
A Support Vector Method for Clustering. NIPS 2000: 367-373 - 1999
- [c8]David Horn, Nir Levy, Isaac Meilijson, Eytan Ruppin:
Distributed Synchrony of Spiking Neurons in a Hebbian Cell Assembly. NIPS 1999: 129-135 - 1998
- [c7]Gad Miller, David Horn:
Maximum entropy approach to probability density estimation. KES (1) 1998: 225-230 - 1997
- [c6]Nir Levy, David Horn, Eytan Ruppin:
Multi-modular Associative Memory. NIPS 1997: 52-58 - 1996
- [c5]Halina Abramowicz, David Horn, Ury Naftaly, Carmit Sahar-Pikielny:
An Orientation Selective Neural Network for Pattern Identification in Particle Detectors. NIPS 1996: 925-931 - 1994
- [c4]Ury Naftaly, Iris Ginzburg, David Horn, Nathan Intrator:
Averaged and decorrelated neural networks as a time-series predictor. ICPR (2) 1994: 429-432 - [c3]Eytan Ruppin, James A. Reggia, David Horn:
A Neural Model of Delusions and Hallucinations in Schizophrenia. NIPS 1994: 149-156 - 1993
- [c2]Iris Ginzburg, David Horn:
Combined Neural Networks for Time Series Analysis. NIPS 1993: 224-231 - 1991
- [c1]David Horn, Marius Usher:
Oscillatory Model of Short Term Memory. NIPS 1991: 125-132
Parts in Books or Collections
- 2012
- [p2]David Horn, Ury Naftaly, Nathan Intrator:
Large Ensemble Averaging. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 131-137 - 1996
- [p1]David Horn, Ury Naftaly, Nathan Intrator:
Large Ensemble Averaging. Neural Networks: Tricks of the Trade 1996: 133-139
Informal and Other Publications
- 2013
- [i2]Marvin Weinstein, F. Meirer, A. Hume, Ph. Sciau, G. Shaked, R. Hofstetter, Erez Persi, A. Mehta, David Horn:
Analyzing Big Data with Dynamic Quantum Clustering. CoRR abs/1310.2700 (2013) - 2009
- [i1]Marvin Weinstein, David Horn:
Dynamic quantum clustering: a method for visual exploration of structures in data. CoRR abs/0908.2644 (2009)
Coauthor Index
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