Excitatory-Inhibitory Networks with Dynamical Thresholds. - David Horn 001; Marius Usher (Int. J. Neural Syst., 1990)

Oscillatory Model of Short Term Memory. - David Horn 001; Marius Usher (NIPS, 1991)

Chaotic Behavior of A Neural Network with Dynamical Thresholds. - Ofer Hendin; David Horn 001; Marius Usher (Int. J. Neural Syst., 1991)

Segmentation, Binding, and Illusory Conjunctions. - David Horn 001; D. Sagi; Marius Usher (Neural Comput., 1991)

Parallel Activation of Memories in an Oscillatory Neural Network. - David Horn 001; Marius Usher (Neural Comput., 1991)

Learning the Rule of a Time Series. - I. Ginzberg; David Horn 001 (Int. J. Neural Syst., 1992)

Combined Neural Networks for Time Series Analysis. - Iris Ginzburg; David Horn 001 (NIPS, 1993)

Neural Network Modeling of Memory Deterioration in Alzheimer's Disease. - David Horn 001; Eytan Ruppin; Marius Usher; Michael Herrmann (Neural Comput., 1993)

Averaged and decorrelated neural networks as a time-series predictor. - Ury Naftaly; Iris Ginzburg; David Horn 001; Nathan Intrator (ICPR (2), 1994)

A Neural Model of Delusions and Hallucinations in Schizophrenia. - Eytan Ruppin; James A. Reggia; David Horn 001 (NIPS, 1994)

Compensatory mechanisms in an attractor neural network model of schizophrenia. - David Horn 001; Eytan Ruppin (Neural Comput., 1995)

An Orientation Selective Neural Network for Pattern Identification in Particle Detectors. - Halina Abramowicz; David Horn 001; Ury Naftaly; Carmit Sahar-Pikielny (NIPS, 1996)

Large Ensemble Averaging. - David Horn 001; Ury Naftaly; Nathan Intrator (Neural Networks: Tricks of the Trade, 1996)

The Importance of Noise for Segmentation and Binding in Dynamical Neural Systems. - David Horn 001; Irit Opher (Int. J. Neural Syst., 1996)

Neuronal-Based Synaptic Compensation: A Computational Study in Alzheimer's Disease. - David Horn 001; Nir Levy; Eytan Ruppin (Neural Comput., 1996)

Temporal segmentation in a neural dynamic system. - David Horn 001; Irit Opher (Neural Comput., 1996)

Multi-modular Associative Memory. - Nir Levy; David Horn 001; Eytan Ruppin (NIPS, 1997)

Book Review: "How we Learn; How we Remember; Toward an Understanding of Brain and Neural Systems", by Leon N. Cooper. - David Horn 001 (Int. J. Neural Syst., 1997)

The Role of Inhibition in an Associative Memory Model of the Olfactory Bulb. - Ofer Hendin; David Horn 001; Misha Tsodyks (J. Comput. Neurosci., 1997)

Solitary Waves of Integrate-and-Fire Neural Fields. - David Horn 001; Irit Opher (Neural Comput., 1997)

Maximum entropy approach to probability density estimation. - Gad Miller; David Horn 001 (KES (1), 1998)

Associative Memory and Segmentation in an Oscillatory Neural Model of the Olfactory Bulb. - Ofer Hendin; David Horn 001; Misha Tsodyks (J. Comput. Neurosci., 1998)

Fast Temporal Encoding and Decoding with Spiking Neurons. - David Horn 001; Sharon Levanda (Neural Comput., 1998)

Memory Maintenance via Neuronal Regulation. - David Horn 001; Nir Levy; Eytan Ruppin (Neural Comput., 1998)

Probability Density Estimation Using Entropy Maximization. - Gad Miller; David Horn 001 (Neural Comput., 1998)

Distributed Synchrony of Spiking Neurons in a Hebbian Cell Assembly. - David Horn 001; Nir Levy; Isaac Meilijson; Eytan Ruppin (NIPS, 1999)

The importance of nonlinear dendritic processing in multimodular memory networks. - David Horn 001; Nir Levy; Eytan Ruppin (Neurocomputing, 1999)

Associative Memory in a Multimodular Network. - Nir Levy; David Horn 001; Eytan Ruppin (Neural Comput., 1999)

A Support Vector Clustering Method. - Asa Ben-Hur; Hava T. Siegelmann; David Horn 001; Vladimir Vapnik (ICPR, 2000)

A Support Vector Method for Clustering. - Asa Ben-Hur; David Horn 001; Hava T. Siegelmann; Vladimir Vapnik (NIPS, 2000)

Distributed synchrony in an attractor of spiking neurons. - David Horn 001; Nir Levy; Eytan Ruppin (Neurocomputing, 2000)

Complex dynamics of neuronal thresholds. - David Horn 001; Irit Opher (Neurocomputing, 2000)

The Method of Quantum Clustering. - David Horn 001; Assaf Gottlieb (NIPS, 2001)

Temporal coding in an olfactory oscillatory model. - Brigitte Quenet; David Horn 001; Gérard Dreyfus; Rémi Dubois (Neurocomputing, 2001)

Support Vector Clustering. - Asa Ben-Hur; David Horn 001; Hava T. Siegelmann; Vladimir Vapnik (J. Mach. Learn. Res., 2001)

Distributed synchrony in a cell assembly of spiking neurons. - Nir Levy; David Horn 001; Isaac Meilijson; Eytan Ruppin (Neural Networks, 2001)

Automatic Acquisition and Efficient Representation of Syntactic Structures. - Zach Solan; Eytan Ruppin; David Horn 001; Shimon Edelman (NIPS, 2002)

Synfire chain in a balanced network. - Yuval Aviel; Elan Pavlov; Moshe Abeles; David Horn 001 (Neurocomputing, 2002)

The Doubly Balanced Network of Spiking Neurons: A Memory Model with High Capacity. - Yuval Aviel; David Horn 001; Moshe Abeles (NIPS, 2003)

Unsupervised Context Sensitive Language Acquisition from a Large Corpus. - Zach Solan; David Horn 001; Eytan Ruppin; Shimon Edelman (NIPS, 2003)

Novel Clustering Algorithm for Microarray Expression Data in A Truncated SVD Space. - David Horn 001; Inon Axel (Bioinform., 2003)

Modeling neural spatiotemporal behavior. - David Horn 001; Brigitte Quenet; Gideon Dror; Orit Kliper (Neurocomputing, 2003)

On Embedding Synfire Chains in a Balanced Network. - Yuval Aviel; Carsten Mehring; Moshe Abeles; David Horn 001 (Neural Comput., 2003)

The Dynamic Neural Filter: A Binary Model of Spatiotemporal Coding. - Brigitte Quenet; David Horn 001 (Neural Comput., 2003)

Synfire waves in small balanced networks. - Yuval Aviel; David Horn 001; Moshe Abeles (Neurocomputing, 2004)

Analysis of spatiotemporal patterns in a model of olfaction. - Orit Kliper; David Horn 001; Brigitte Quenet; Gideon Dror (Neurocomputing, 2004)

Neural modeling of synchronized bursting events. - Erez Persi; David Horn 001; Ronen Segev; Eshel Ben-Jacob; Vladislav Volman (Neurocomputing, 2004)

Modeling of Synchronized Bursting Events: The Importance of Inhomogeneity. - Erez Persi; David Horn 001; Vladislav Volman; Ronen Segev; Eshel Ben-Jacob (Neural Comput., 2004)

Dynamic proximity of spatio-temporal sequences. - David Horn 001; Gideon Dror; Brigitte Quenet (IEEE Trans. Neural Networks, 2004)

Motif Extraction and Protein Classification. - Vered Kunik; Zach Solan; Shimon Edelman; Eytan Ruppin; David Horn 001 (CSB, 2005)

Can Dynamic Neural Filters Produce Pseudo-Random Sequences?. - Yishai M. Elyada; David Horn 001 (ICANN (1), 2005)

COMPACT: A Comparative Package for Clustering Assessment. - Roy Varshavsky; Michal Linial; David Horn 001 (ISPA Workshops, 2005)

In vitro neuronal networks: evidence for synaptic plasticity. - Anat Elhalal; David Horn 001 (Neurocomputing, 2005)

The inertial-DNF model: spatiotemporal coding on two time scales. - Orit Kliper; David Horn 001; Brigitte Quenet (Neurocomputing, 2005)

Memory Capacity of Balanced Networks. - Yuval Aviel; David Horn 001; Moshe Abeles (Neural Comput., 2005)

Unsupervised learning of natural languages. - Zach Solan; David Horn 001; Eytan Ruppin; Shimon Edelman (Proc. Natl. Acad. Sci. USA, 2005)

Novel Unsupervised Feature Filtering of Biological Data. - Roy Varshavsky; Assaf Gottlieb; Michal Linial; David Horn 001 (ISMB (Supplement of Bioinformatics), 2006)

Spatiotemporal clustering of synchronized bursting events in neuronal networks. - Uri Barkan; David Horn 001 (Neurocomputing, 2006)

Clustering Algorithms Optimizer: A Framework for Large Datasets. - Roy Varshavsky; David Horn 001; Michal Linial (ISBRA, 2007)

Nucleotide variation of regulatory motifs may lead to distinct expression patterns. - Liat Segal; Michal Lapidot; Zach Solan; Eytan Ruppin; Yitzhak Pilpel; David Horn 001 (ISMB/ECCB (Supplement of Bioinformatics), 2007)

Unsupervised feature selection under perturbations: meeting the challenges of biological data. - Roy Varshavsky; Assaf Gottlieb; David Horn 001; Michal Linial (Bioinform., 2007)

Functional Representation of Enzymes by Specific Peptides. - Vered Kunik; Yasmine Meroz; Zach Solan; Ben Sandbank; Uri Weingart; Eytan Ruppin; David Horn 001 (PLoS Comput. Biol., 2007)

Syntactic structures in languages and biology. - David Horn 001 (Cogn. Process., 2008)

Data mining of enzymes using specific peptides. - Uri Weingart; Yair Lavi; David Horn 001 (BMC Bioinform., 2009)

Dynamic quantum clustering: a method for visual exploration of structures in data - Marvin Weinstein; David Horn 001 (CoRR, 2009)

Genomic DNA k-mer Spectra: Models and Modalities. - Benny Chor; David Horn 001; Nick Goldman; Yaron Levy; Tim Massingham (RECOMB, 2010)

UFFizi: a generic platform for ranking informative features. - Assaf Gottlieb; Roy Varshavsky; Michal Linial; David Horn 001 (BMC Bioinform., 2010)

Deriving enzymatic and taxonomic signatures of metagenomes from short read data. - Uri Weingart; Erez Persi; Uri Gophna; David Horn 001 (BMC Bioinform., 2010)

Large Ensemble Averaging. - David Horn 001; Ury Naftaly; Nathan Intrator (Neural Networks: Tricks of the Trade (2nd ed.), 2012)

Analyzing Big Data with Dynamic Quantum Clustering. - Marvin Weinstein; F. Meirer; A. Hume; Ph. Sciau; G. Shaked; R. Hofstetter; Erez Persi; A. Mehta; David Horn 001 (CoRR, 2013)

Systematic Analysis of Compositional Order of Proteins Reveals New Characteristics of Biological Functions and a Universal Correlate of Macroevolution. - Erez Persi; David Horn 001 (PLoS Comput. Biol., 2013)

The Weight-Shape decomposition of density estimates: A framework for clustering and image analysis algorithms. - Lior Deutsch; David Horn 001 (Pattern Recognit., 2018)

Deep Learning Study of an Electromagnetic Calorimeter. - Elihu Sela; Shan Huang; David Horn 001 (Algorithms, 2022)