Recent publications
Older publications
Lecture Notes

• Specific Peptides Predict Protein Classification
  (David Horn and Uri Weingart) J. of Physical Chemistry and Biophysics, Vol. 12, issue 4 (2022).
  Supplementary Materials
  
• Deep learning study of an electromagnetic calorimeter
  (Elihu Sela, Shan Huang and David Horn) preprint
  
• Inter-chromosomal k-mer distances.
  (Kafri A, Chor B, Horn D) Bmc Genomics, 2021 22: 644.
  
• Mutation-selection balance and compensatory mechanisms in tumour evolution.
  (Persi E, Wolf YI, Horn D, Ruppin E, Demichelis F, Gatenby RA, Gillies RJ, Koonin EV) Nature Reviews Genetics 2020. PMID 33257848
  
• Proteomic and Genomic Signatures of Repeat Instability in Cancer and Adjacent Normal Tissues .
  (Erez Persi, Davide Prandi, Yuri I. Wolf, Yair Pozniak,Christopher Barbieri, Paola Gasperini, Himisha Beltran, Bishoy M. Faltas,Mark A. Rubin, Tamar Geiger, Eugene V. Koonin, Francesca Demichelis, David Horn) PNAS 116, 34, 2019 - 08790
  
• Novel Formulation of Parzen Data Analysis
  Chapter in "Pattern Recognition - Selected Methods and Applications," 978-1-78985-500-5 2019.
  
• Field Formulation of Parzen Data Analysis. eprint (2018).
  
• Lecture at Safra Retreat 2018: Is inversion symmetery of chromsomes a law of nature?.
  
• The Weight-Shape Decomposition of Density Estimates: A Framework for Clustering and Image Analysis Algorithms
  (Lior Deutsch and David Horn) Pattern Recognition 81 (2018) 190-199.
  
• Is inversion symmetery of chromsomes a law of nature?
  Atlas of Science, April 14, 2017.
  
• Brief Summmary of the 2016 Israel Roadmap of Central RI(in English).
  
• 2016 Israel Roadmap of Central Research Infrastructures (in Hebrew).
  
• 2013 Israel Roadmap of Central Research Infrastructures (in English).
  
• Inversion symmetry of DNA k-mer counts: validity and deviations
  (Sagi Shporer, Benny Chor, Saharon Rosset, David Horn) BMC Genomics 2016, 17:696
  
• The Birth of Hadron Duality
  Presentation at the Bloomington School on Reaction Theory, June 2015
  
• Chromosomal Inversion Symmetry: Generalized Chargaff Rules
  (Sagi Shporer, Benny Chor, David Horn) BioRxive, Jan. 2015.
  
• Quarks in the Bootstrap Era
  D. Horn, Int. J. Mod. Phys. A, 29, 1430075 (2014) DOI: 10.1142/S0217751X14300750. Published as a chapter in the book "50 years of quarks", eds. Harald Fritzsch and Murray Gell-Mann, World Scientific, 2015.
  
• Proteomic Universal Correlate of Evolution
  (Erez Persi and David Horn ) Highlight Talk PP53 at ISMB 2014.
  
• 2013 Israel Roadmap of Central Research Infrastructures (in Hebrew).
  
• Hierarchical Partitioning of Metazoan Protein Conservation Profiles Provides New Functional Insights
  (Jonathan Witztum, Erez Persi, David Horn, Metsada Pasmanik-Chor, Benny Chor) PLoS One 2014.
  
• Taxa Counting using Specific Peptides of Aminoacyl tRNA Synthetases, Encyclopedia of Metagenomics, Springer, 2013.
  
• Systematic Analysis of Compositional Order of Proteins Reveals New Characteristics of Biological Functions and a Universal Correlate of Macroevolution
  (Erez Persi, and David Horn) PLoS Comput Biol 9(11): e1003346.
  
• Analyzing Big Data with Dynamic Quantum Clustering
  (M. Weinstein, F. Meirer, A. Hume, Ph. Sciau, G. Shaked, R. Hofstetter, E. Persi, A. Mehta, D. Horn)physics.data-an arxiv, 2013.
• Peptide Markers of Aminoacyl tRNA Synthetases Facilitate Taxa Counting in Metagenomic Data
  (Erez Persi, Uri Weingart, Shiri Freilich and David Horn) BMC Genomics 2012, 13:65
  
• Common Peptides Study of Aminoacyl-tRNA Synthetases.
  (Assaf Gottlieb, Milana Frenkel-Morgenstern, Mark Safro and David Horn) PLoS ONE 2011, 6(5): e20361.
  
• Specific Peptides Facilitate Metagenomic Analysis
  (Uri Weingart, Erez Persi and David Horn) Poster at Recomb 2011. Entry in F1000 Posters.
• Deriving enzymatic and taxonomic signatures of metagenomes from short read data.
  (Uri Weingart, Erez Persi, Uri Gophna and David Horn) BMC Bioinformatics 2010, 11:390
• UFFizi: a generic platform for ranking informative features.
  (Assaf Gottlieb, Roy Varshavsky, Michal Linial and David Horn) BMC Bioinformatics 2010, 11:300
• Data mining of enzymes using specific peptides.
  (Uri Weingart, Yair Lavi and David Horn) BMC Bioinformatics 2009, 10:446
• Genomic DNA k-mer spectra: models and modalities
  (Benny Chor, David Horn, Yaron Levy, Nick Goldman and Tim Massingham)
  Genome Biology 2009 Oct 8; 10(10):R108
• Dynamic quantum clustering: a method for visual exploration of structures in data.
  (Marvin Weinstein and David Horn) Physical Review E 2009 (80) 066117
• Data Mining of Enzymes. Poster presentation at ISMB 2009.
  (Uri Weingart, Yair Lavi and David Horn)
• Common peptides shed light on evolution of Olfactory Receptors
  (Assaf Gottlieb, Tsviya Olender, Doron Lancet and David Horn)
  BMC Evolutionary Biology 2009, 9:91
• Data mining hits black magic
  Description of Dynamic Quantum Clustering on SLAC Today
• Data mining of protein families using common peptides.
  (Assaf Gottlieb, Uri Weingart and David Horn) Oral presentation at AFP-Biosapiens SIG meeting , Toronto 2008
  Nature preceding posting
• Global Considerations in Hierarchical Clustering Reveal Meaningful Patterns in Data.
  (Roy Varshavshy, David Horn and Michal Linial) PLoSOne 2008 online
  
• Biological roles of specific peptides in enzymes.
  (Yasmine Meroz and David Horn) Proteins: Structure, Function, and Bioinformatics 72 (2), 606-612, 2008
  
• Viral photosynthetic reaction centre genes and transcripts in the marine environment.
  (Itai Sharon, Shani Tzahor, Shannon Williamson, Michael Shmoish, Dikla Man-Aharonovich, Douglas B. Rusch, Shibu Yooseph, Gil Zeidner, Susan S. Golden, Shannon R. Mackey, Noam Adir, Uri Weingart, David Horn, J. Craig Venter, Yael Mandel-Gutfreund and Oded Beja) The ISME Journal 1, 492-501 (2007)
  
• Functional representation of enzymes by specific peptides
  (Vered Kunik, Yasmine Meroz, Zach Solan, Ben Sandbank, Uri Weingart, Eytan Ruppin and David Horn)
  PLOS Computational Biology 2007, 3(8):e167.  doi:10.1371/journal.pcbi.0030167
• Nucleotide variation of regulatory motifs may lead to distinct expression profiles
  (L. Segal, M. Lapidot, Z. Solan, E. Ruppin, Y. Pilpel and D. Horn) Bioinformatics Vol. 23 ISMB/ECCB 2007, pages i440-i449.
  Supplementary Material.
• Unsupervised feature selection under perturbations: meeting the challenges of biological data
  (Roy Varshavsky, Assaf Gottlieb, David Horn and Michal Linial)
  Bioinformatics 2007 23(24):3343-3349.
• Clustering Algorithms Optimizer: A Framework for Large Datasets
  (Roy Varshavsky, Michal Linial and David Horn)
  lecture at ISBRA 2007, Lecture Notes in Bioinformatics (4463) 85-96.
• Recursive Top-Down Quantum Clustering of Biological Data
  (Roy Varshavsky, David Horn and Michal Linial)
  PLOS track lecture at ISMB 2006.
• Novel Unsupervised Feature Filtering of Biological Data
  (Roy Varshavsky, Assaf Gottlieb, Michal Linial and David Horn)
  oral presentation at ISMB 2006, Bioinformatics 22(14):e507-513. Supplementary Material
• Syntactic Structures in Languages and Biology
  Based on lecture at the Paris workshop "Langage de la biologie & biologie du langage" Interdisciplinary Workshop at Institut de France, Paris, Dec. 2nd, 2005. to be published in COGPRO
• Unsupervised learning of natural languages
  (Zach Solan, David Horn, Eytan Ruppin and Shimon Edelman)
  Proc. Natl. Acad. Sc. 102 (2005) 11629-11634. Online version with Supporting Information
• Can Dynamic Neural Filters Produce Pseudo-Random Sequences?
  (Yishai M. Elyada and David Horn)
  Lecture Notes in Computer Science (Springer Verlag) 3996 (2005) 211-216 (Proceedings of ICANN 2005).
• Motif Extraction and Protein Classification
  (Vered Kunik, Zach Solan, Shimon Edelman, Eytan Ruppin and David Horn)
  oral presentation at CSB 2005.
• Spatiotemporal clustering of synchronized bursting events in neuronal networks
  (Uri Barkan and David Horn)
  presentation at CNS 2005.
• Article in the daily newspaper HAARETZ in Hebrew, 1.11.04.
• COMPACT: A Comparative Package for Clustering Assessment
  (Roy Varshavsky, Michal Linial and David Horn)
  in G. Chen, Y. Pan, M. Guo and J. Lu (Eds.): Lecture Notes in Computer Science 3759 (2005) 159-167 Springer.
• Unsupervised language acquisition: syntax from plain corpus
  (David Horn, Zach Solan, Eytan Ruppin and Shimon Edelman)
  Presented at the Newcastle Workshop on Human Language, Feb. 2004.
• In-vitro neuronal networks: evidence for synaptic plasticity
  (Anat Elhalal and David Horn)
  Neurocomputing 65-66 (2005) 31--37 (proceedings CNS 04).
• The inertial-DNF Model: Spatiotemporal Patterns with Two Time-Scales
  (Orit Kliper, David Horn and Brigitte Quenet)
  Neurocomputing 65-66 (2005) 543-548 (proceedings of CNS04).
• Memory Capacity of Balanced Networks
  (Yuval Aviel, David Horn and Moshe Abeles)
  Neural Computation, 17 (2005) 691--713.
• Modeling of Synchronized Bursting Events: The Importance of Inhomogeneity
  (Erez Persi, David Horn, Ronen Segev, Vladislav Volman and Eshel Ben-Jacob)
  Neural Computation, 16 (2004) 2577-2596.
• Rich Syntax from a raw Corpus: Unsupervised Does It
  (Shimon Edelman,Zach Solan, David Horn, and Eytan Ruppin)
  Presented at NIPS03 workshop on Syntax, Semantics and Statistics.
• Unsupervised context sensitive language acquisition from a large corpus
  (Zach Solan, David Horn, Eytan Ruppin and Shimon Edelman)
  Presented at NIPS03.
• The doubly balanced network of spiking neurons:
  a memory model with high capacity
  (Yuval Aviel, David Horn and Moshe Abeles)
  Presented at NIPS03.
• Synfire waves in a small balanced network
  (Yuval Aviel, David Horn and Moshe Abeles)
  Presented at CNS03. Neurocomputing, 58-60 (2004) 123-127.
• Neural Modeling of Synchronized Bursting Events
  (Erez Persi, David Horn, Ronen Segev, Eshel Ben-Jacob and Vladislav Volman)
  Presented at CNS03. Neurocomputing, 58-60 (2004) 179-184.
• Analysis of Spatiotemporal Patterns in a Model of Olfaction
  (Orit Kliper, David Horn, Brigitte Quenet and Gideon Dror)
  Presented at CNS03. Neurocomputing, 58-60 (2004) 1027-1032.
• Unsupervised efficient learning and representation of language structure
  (Zach Solan, David Horn, Eytan Ruppin and Shimon Edelman)
  Presented at cogsci2003. 16 (2004) 2577-2596.
• Dynamic Proximity of Spatiotemporal Sequences
  (David Horn, Gideon Dror and Brigitte Quenet)
  IEEE trans. on Neural Networks, 15 (5) 1002-1008, Sept 2004.
• Modeling Neural Spatiotemporal Behavior
  (David Horn, Brigitte Quenet, Gideon Dror and Orit Kliper)
  Neurocomputing, 52-54 (proceedings of CNS02) 799-804 (2003).
• On embedding synfire chains in a balanced network
  (Y. Aviel, C. Mehring, M. Abeles and D. Horn)
  Neural Computation 15, 1321-1340 (2003).
• Novel clustering algorithm for microarray expression data in a truncated SVD space
  (David Horn and Inon Axel)
  Bioinformatics 19, 1110-1115, 2003. erratum
• Evolution of language diversity: why fitness counts
  (Zach Solan, Eytan Ruppin, David Horn and Shimon Edelman)
  Language Origins, Perspectives on Evolution (Ed. M. Tallerman) Oxford University Press (2005) 357-371.
• Automatic acquisition and efficient representation of syntactic structures
  (Zach Solan, Eytan Ruppin, David Horn and Shimon Edelman)
  presented at NIPS02.
• The Dynamic Neural Filter: A Binary Model of Spatiotemporal Coding
  (Brigitte Quenet and David Horn)
  Neural Computation 15 (2003) 309-329.
• Algorithm for data clustering in pattern recognition problems based on quantum mechanics
  (David Horn and Assaf Gottlieb)
  Phys. Rev. Lett. 88 (2002) 18702
• Clustering via Hilbert Space
  Physica A (302) 70-79. pdf file.
  
• The Method of Quantum Clustering.
  (David Horn and Assaf Gottlieb)
  in proceedings of NIPS*01
• Support Vector Clustering.
  (Asa Ben-Hur, David Horn, Hava Siegelmann and Vladimir Vapnik)
  Journal of Machine Learning Research 2, 125-137, 2001.
• Synfire Chain in a Balanced Network.
  (Y. Aviel, E. Pavlov, M. Abeles and D. Horn)
  Presented at CNS*01
• Neuronal Regulation and Hebbian Learning.
  (Gal Chechik, David Horn and Eytan Ruppin)
  Handbook of Brain Theory and Neural Networks, 2nd. ed.
• Distributed Synchrony in a Cell Assembly of Spiking Neurons.
  (Nir Levy, David Horn, Isaac Meilijson and Eytan Ruppin)
  Neural Networks, 14, 815-824 (2001).
• A Support Vector Method for Clustering.
  (Asa Ben-Hur, David Horn, Hava Siegelmann and Vladimir Vapnik)
  Presented at NIPS00.
• Temporal coding in an olfactory oscillatory model.
  (Brigitte Quenet, David Horn, Gerard Dreyfus and Remi Dubois)
  Neurocomputing 38 (2001) 831-836 (presented at CNS00).
• Clustering with Spiking Neurons.
  (Irit Opher, David Horn and Brigitte Quenet)
  oral presentation at ICANN-99.
• Distributed Synchrony of Spiking Neurons in a Hebbian Cell Assembly .
  (David Horn, Nir Levy, Isaac Meilijson and Eytan Ruppin)
  presented at NIPS99.
• Complex Dynamics of Neuronal Thresholds.
  (David Horn and Irit Opher)
  Neurocomputing 32 (2000) 161-166 (presented at CNS99).
• Momentum reconstruction of particles in the forward muon trigger system of the ATLAS detector.
  (Gideon Dror, Erez Etzion and David Horn)
  presented at AIHENP99.
• Multimodular Networks and Semantic Memory Impairments.
  (David Horn, Nir Levy and Eytan Ruppin)
  Brain, Behavioral and Cognitive Disorders: The Neurocomputational Perspective (Progress in Brain Research series, Elsevier Science Pub.). Eds. J.A. Reggia, E. Ruppin, D.L. Glanzman, 67-72, 1999.
• Vertex identification in High Energy Physics Experiments.
  (Gideon Dror, Halina Abramowicz and David Horn)
  presented at NIPS98.
• Associative Memory in a Multi-modular Network.
  (Nir Levy, David Horn and Eytan Ruppin)
  Neural Computation 11, 1717-1737 (1999).
• Collective Excitation Phenomena and their Applications.
  (David Horn and Irit Opher)
  Published as chapter 11 in the book
  Pulsed Neural Networks, Eds: W. Maass and C. B. Bishop, MIT Press, 1998.
• Neuronal Regulation vs Synaptic Unlearning in Memory Maintenance Mechanisms.
  (David Horn, Nir Levy and Eytan Ruppin)
  Network: Comp. in Neural Systems, 8 (1998) 577-586.
• Fast Temporal Encoding and Decoding with Spiking Neurons.
  (David Horn and Sharon Levanda)
  Neural Computation, 10, 1705--1720 (1998).
• Multi-modular Associative Memory.
  (Nir Levy, David Horn and Eytan Ruppin)
  in Advances in Neural Information Processing Systems 10,
  Michael I. Jordan, Michael J. Kearns, and Sara A. Solla (eds.)
  Cambridge, MA: MIT Press (1998) pp 52--58.
• The importance of nonlinear dendritic processing in multimodular memory networks.
  (David Horn, Nir Levy and Eytan Ruppin)
  Neurocomputing 26 (1999) 389-394.
• Probability Density Estimation using Entropy Maximization.
  (Gad Miller and David Horn)
  Neural Computation, 10, 1925--1938 (1998).
• An Orientation Selective Neural Network for Pattern Identification in Particle Detectors
  (Halina Abramowicz, David Horn,Ury Naftali, Carmit Sahar-Pikielny)
  in Advances in Neural Information Processing Systems 9
  eds. M. C. Mozer, M. J. Jordan and T. Petsche,
  MIT Press 1997, pp. 925--931.
• Associative Memory and Segmentation in an Oscillatory Neural Model of the Olfactory Bulb.
  (Ofer Hendin, David Horn and Misha Tsodyks)
  Journal of Computational Neuroscience, 5 (1998) 157--169.
• Neural Computation Methods and Applications
  Summary Talk of the AI Session, AIHENP96
  Nucl. Inst. Meth. in Phys. Res. A 389 (1997) 381-387.
• Optimal Ensemble Averaging of Neural Networks
  (Ury Naftaly, Nathan Intrator, David Horn) Network, Computation in Neural Systems, 8, 283-296 (1997).
• Memory Maintenance Via Neuronal Regulation
  (David Horn, Nir Levy, Eytan Ruppin) Neural Computation, 10, 1-18 (1998).
• Solitary Waves of Integrate and Fire Neural Fields
  (David Horn and Irit Opher) Neural Computation,9, 1677-1690 (1997).
• An Orientation Selective Neural Network and its Application to Cosmic Muon Identification
  (Halina Abramowicz, David Horn,Ury Naftali, Carmit Sahar-Pikielny)
  Nuclear Instruments and Methods in Physics Research A 378 (1996) 305-311.
• The Role of Inhibition in an Associative Memory Model of the Olfactory Bulb.
  (Ofer Hendin, David Horn and Misha Tsodyks)
  Journal of Computational Neuroscience 4, 173-182 (1997).
• The Importance of Noise for Segmentation and Binding in Dynamical Neural Systems.
  (David Horn and Irit Opher) Int. Journal of Neural Systems, 7, 529-535 (1996).
• Neuronal Based Synaptic Compensation: A Computational Study in Alzheimer's Disease.
  (David Horn, Nir Levy and Eytan Ruppin) Neural Computation 8, 1227-1243, 1996.
• Segmentaion and Binding in Oscillatory Neural Systems
  (David Horn and Irit Opher)
  To be published in Oscillations in Neural Systems (Erlbaum) eds. D. Levine, V. Brown and T. Shirey.

Older Publications

• Local Compensation in Alzheimer's Disease: A Computational Study.
  (David Horn, Nir Levy and Eytan Ruppin) Computational Neuroscience (CNS95), ed. J. M. Bower, Academic Press 1996, 361-366.
• Temporal Segmentation in a Neural Dynamic System
  (David Horn and Irit Opher) Neural Computation 8, 375-391 (1996)
• Dynamical Symmetries and Temporal Segmentation
  (David Horn and Irit Opher) J. Nonlinear Sci. 5 (1995) 359-372 pdf file
• A Neural Model of Delusions and Halucinations in Schizophrenia
  (E. Ruppin, J. A. Reggia and D. Horn) in "Advances in Neural Information Processing Systems 7", G. Tesauro, D. S. Touretzky and T. K. Leen, eds., MIT Press, Cambridge MA, 1995, p. 149-156.
• On the Pathogenesis of Schizophrenic Delusions and Hallucinations:
  A Neural Model (E. Ruppin, J. A. Reggia and D. Horn) Schizophrenia Bulletin, 22 (1996) 105-123.
• Compensatory mechanisms in an attractor neural network model of Schizophrenia
  (D.Horn and E. Ruppin) Neural Computation, 7 (1995) 1494-1517.
• Decomposition of a Mixture of Signals in a Model of the Olfactory Bulb
  (O. Hendin, D. Horn and J. J. Hopfield) Proc. Nat. Acad. Sciences, 91 (1994) 5942-5946. [PS Compressed (157 kB)]
• Networks of complex neurons,
  Physica A 200 (1993) 594--601. Included in: I. Kanter, M. Deutsch, S. Havlin, M. Kaveh and Y. Yeshurun, editors {\it Frontiers in Condensed Matter Physics IV} North-Holland 1993.
• Combined Neural Networks for Time Series Analysis
  (I. Ginzburg and D. Horn) in J. D. Cowan, G. Tesauro, and J. Alspector, editors,
  Advances in Neural Information Processing Systems - 6 - (NIPS*93), 224-231 (1994) Morgan Kaufmann, San Mateo, CA.
• Learning the Rule of a Time Series
  (I. Ginzberg and D. Horn) Int. Journal for Neural Systems 3 (1992) 167-177.
• Neural network modeling of memory deterioration in Alzheimer's disease.
  (D. Horn, E. Ruppin, M. Usher, M. Herrmann) Neural Computation 5 (1993) 736 - 749.
• t-Expansion of Lowest Hadron Masses
  (D. Horn and D. Schreiber) Phys. Rev. D47 (1993) 2081.
• Extra-pyramidal symptoms in Alzheimer's disease: a hypothesis
  (D. Horn and E. Ruppin) Medical Hypotheses 39 (1992) 316-318.
• Synaptic deletion and compensation in Alzheimer disease: A neural model.
  (D. Horn, E. Ruppin, M. Usher, M. Herrmann) in Computation and Neural Systems, F.H.Eckman and J.M.Bower, eds (Kluwer Academic Pub. 1993) p. 467-472.
• Oscillatory Model of Short Term Memory
  (D. Horn and M. Usher) in Advances in Neural Infromation and Processing Systems 4, J.E.Moody S.J.Hanson R.P.Lippmann eds,(Morgan Kaufmann Pub. 1992) p. 125-132. pdf file
• Segmentation, Binding and Illusory Conjunctions
  (D. Horn, D. Sagi and M. Usher) Neural Computation 3 (1991) 510-525. pdf file
• Chaotic Behavior of a Neural Network with Dynamical Thresholds
  (O. Hendin, D. Horn and M. Usher) Int. Jour. Neural Systems 1 (1991) 327--335. pdf file
• Neural networks with dynamical thresholds
  (D. Horn and M. Usher) Phys. Rev. A 40 (1989) 1036-1044. pdf file
• Frustrated Spin-Hamiltonians with Binary Input, Phys. Rev. A33 (1986) 2595 .pdf file

Selection of Ancient Publications

• The t expansion and SU(2) lattice gauge theory
  (D. Horn, M. Karliner and M. Weinstein) Phys. Rev. D 31 (1985) 2589-2599. pdf file
• The t expansion: A nonperturbative analytic tool for Hamiltonian systems
  (D. Horn and M. Weinstein) Phys. Rev. D 30 (1984) 1256-1270. pdf file
• geometric_fermions
  (T. Banks, Y. Dothan and D. Horn) Phys. Lett. B 117, 413-417 (1982). pdf file
• Finite Matrix Models with Continuous Local Gauge Invariance
  (D. Horn) Phys. Lett. 100B, 149-151 (1981). pdf file
• Variational approach to Hamiltonian lattice theories
  (D. Horn) Phys. Rev. D (1980) 1824-1831. pdf file
• Hamiltonian approach to Z(N) lattice gauge theories
  (D. Horn, M. Weinstein and S. Yankielowicz) Phys. Rev. D 19 (1979) 3715-3731. pdf file
• Bosonization of the SU(N) Thirring Model
  (T.Banks, D. Horn and H. Neuberger) Nuc. Phys.B108 (1976) 119-129. pdf file
• Coherent production of pions
  (D. Horn and R. Silver) Annals Phys. 66 (1971) 509-541. pdf file
• Two Overlapping Resonances: Production and Decay in S-Matrix Theory
  (Y. Dothan and D. Horn) Phys. Rev. D 1 (1970) 916-925. pdf file
• Many Particle Phenomena
  (D. Horn) Proc. of Int. Conf. on Duality and Symmetry in Hadron Physics. Ed. E. Gotsman, 1971. pdf file
• Horn-Schmid Duality. Comments by G. F. Chew
  Comments on Nuclear and Particle Physics (1968), 74-76. pdf file
• Finite-Energy Sum Rules and Their Application to pi-N Charge Exchange
  (R. Dolen, D. Horn and C. Schmid) Phys. Rev. 166 (1968) 1768-1781. pdf file
• Prediction of Regge-parameters of rho poles from low-energy pi-N scattering data
  (R. Dolen, D. Horn and C. Schmid) Phys. Rev. Lett. 19 (1967) 402-407. pdf file
• Finite Energy Sum Rules.
  (D. Horn and C. Schmid) Unpublished Preprint CALT-68-127, April 1967. pdf file

• Scientific Data Analysis using Neural Networks, 2019




• Introduction to Modern Physics (in Hebrew) Part 1, 1974


• Introduction to Modern Physics (in Hebrew) Part 2, 1974