NeCo 1998

105 papers

A Canonical Form of Nonlinear Discrete-Time Models Gérard Dreyfus, Yizhak Idan

A Fast and Robust Cluster Update Algorithm for Image Segmentation in Spin-Lattice Models Without Annealing - Visual Latencies Revisited Ralf Opara, Florentin Wörgötter

A Floating Gate MOS Implementation of Resistive Fuse Takashi Matsumoto, T. Sawaji, Takeyasu Sakai, H. Nagai

A Hierarchical Model of Binocular Rivalry Peter Dayan

A Learning Theorem for Networks at Detailed Stochastic Equilibrium Javier R. Movellan

A Low Sensitivity Recurrent Neural Network Andrew D. Back, Ah Chung Tsoi

A Neural Model of Contour Integration in the Primary Visual Cortex Zhaoping Li

A Potts Neuron Approach to Communication Routing Jari Häkkinen, Martin Lagerholm, Carsten Peterson, Bo Söderberg

A Self-Organizing Neural Network Architecture for Navigation Using Optic Flow Seth Cameron, Stephen Grossberg, Frank H. Guenther

A Sparse Representation for Function Approximation Tomaso A. Poggio, Federico Girosi

A Systematic and Effective Supervised Learning Mechanism Based on Jacobian Rank Deficiency Guian Zhou, Jennie Si

Absence of Cycles in Symmetric Neural Networks Xin Wang, Arun K. Jagota, Fernanda Botelho, Max H. Garzon

Adding Recurrence to a Simple Feedforward Network Can Enable It to Perform Exclusive-or Leslie S. Smith

Almost Linear VC-Dimension Bounds for Piecewise Polynomial Networks Peter L. Bartlett, Vitaly Maiorov, Ron Meir

An Alternative Perspective on Adaptive Independent Component Analysis Algorithms Mark A. Girolami

An Energy Function and Continuous Edit Process for Graph Matching Andrew M. Finch, Richard C. Wilson, Edwin R. Hancock

An Equivalence Between Sparse Approximation and Support Vector Machines Federico Girosi

Analog Versus Digital: Extrapolating from Electronics to Neurobiology Rahul Sarpeshkar

Analysis of Direction Selectivity Arising from Recurrent Cortical Interactions Paul Mineiro, David Zipser

Anti-Predictable Sequences: Harder to Predict than Random Sequences Huaiyu Zhu, Wolfgang Kinzel

Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms Thomas G. Dietterich

Asymmetric Dynamics in Optimal Variance Adaptation Michael Robert DeWeese, Anthony M. Zador

Axon Guidance: Stretching Gradients to the Limit Geoffrey J. Goodhill, Herwig Baier

Axonal Processes and Neural Plasticity: A Reply Terry Elliott, C. I. Howarth, Nigel Shadbolt

Bayesian Radial Basis Functions of Variable Dimension Christopher C. Holmes, Bani K. Mallick

Bias/Variance Decompositions for Likelihood-Based Estimators Tom Heskes

Blind Source Separation and Deconvolution: The Dynamic Component Analysis Algorithm Hagai Attias, Christoph E. Schreiner

Breaking Rotational Symmetry in a Self-Organizing mAP-Model for Orientation mAP Development Maximilian Riesenhuber, Hans-Ulrich Bauer, Dirk Brockmann, Theo Geisel

Category Learning Through Multi-Modality Sensing Virginia R. de Sa, Dana H. Ballard

Changes in GABAB Modulation During a Theta Cycle May Be Analogous to the Fall of Temperature During Annealing Vikaas S. Sohal, Michael E. Hasselmo

Channel Stochasticity May Be Critical in Determining the Reliability and Precision of Spike Timing Elad Schneidman, Barry Freedman, Idan Segev

Chaotic Balanced State in a Model of Cortical Circuits Carl van Vreeswijk, Haim Sompolinsky

Classification of Temporal Patterns in Dynamic Biological Networks Patrick D. Roberts

Combined Learning and Use for a Mixture Model Equivalent to the RBF Classifier David J. Miller, Hasan S. Uyar

Competition for Neurotrophic Factors: Mathematical Analysis Terry Elliott, Nigel Shadbolt

Complexity Issues in Natural Gradient Descent Method for Training Multi-Layer Perceptrons Howard Hua Yang, Shun-ichi Amari

Computation with Infinite Neural Networks Christopher K. I. Williams

Computational Models of Neuromodulation Jean-Marc Fellous, Christiane Linster

Computational Studies of Lateralization of Phoneme Sequence Generation James A. Reggia, Sharon Goodall, Yuri Shkuro

Connecting Cortical and Behavioral Dynamics: Bimanual Coordination Viktor K. Jirsa, Armin Fuchs, J. A. Scott Kelso

Constrained Optimization for Neural mAP Formation: A Unifying Framework for Weight Growth and Normalization Laurenz Wiskott, Terrence J. Sejnowski

Constructive Incremental Learning from Only Local Information Stefan Schaal, Christopher G. Atkeson

Correction to Proof That Recurrent Neural Networks Can Robustly Recognize Only Regular Languages Michael Casey

Deformation Theory of the Dynamic Link Matching Toru Aonishi, Koji Kurata

Density Estimation by Mixture Models with Smoothing Priors Akio Utsugi

Dynamics of Membrane Excitability Determine Inter-Spike Interval Variability: A Link Between Spike Generation Mechanisms and Cortical Spike Train Statistics Boris S. Gutkin, Bard Ermentrout

Efficient Adaptive Learning for Classification Tasks with Binary Units Juan-Manuel Torres-Moreno, Mirta B. Gordon

Efficient Learning in Boltzmann Machines Using Linear Response Theory Hilbert J. Kappen, Francisco de Borja Rodríguez Ortiz

Employing the -Transform to Optimize the Calculation of the Synaptic Conductance of NMDA-and Other Synaptic Channels in Network Simulations J. Köhn, Florentin Wörgötter

Equivalence of a Sprouting-and-Retraction Model and Correlation-Based Plasticity Models of Neural Development Kenneth D. Miller

Extended Kalman Filter-Based Pruning Method for Recurrent Neural Networks John Sum, Lai-Wan Chan, Andrew Chi-Sing Leung, Gilbert H. Young

Extracting Oscillations: Neuronal Coincidence Detection with Noisy Periodic Spike Input Richard Kempter, Wulfram Gerstner, J. Leo van Hemmen, Hermann Wagner

Fast Temporal Encoding and Decoding with Spiking Neurons David Horn, Sharon Levanda

Fixed Point Attractor Analysis for a Class of Neurodynamics Jianfeng Feng, David Brown

GABAergic Inhibitory Control of the Transient and Sustained Components of Orientation Selectivity in a Model Microcolumn in Layer 4 of Cat Visual Cortex Paul Bush, Nicholas Priebe

GTM: The Generative Topographic Mapping Christopher M. Bishop, Markus Svensén, Christopher K. I. Williams

Identification Criteria and Lower Bounds for Perceptron-LikeLearning Rules Michael Schmitt

Information Maximization and Independent Component Analysis: Is There a Difference? Dragan Obradovic, Gustavo Deco

Issues in Bayesian Analysis of Neural Network Models Peter Müller, David Ríos Insua

Kernel-Based Equiprobable Topographic mAP Formation Marc M. Van Hulle

Linearization of F-I Curves by Adaptation Bard Ermentrout

Memory Maintenance via Neuronal Regulation David Horn, Nir Levy, Eytan Ruppin

Modeling the Surround of MT Cells and Their Selectivity for Surface Orientation in Depth Specified by Motion Lin Liu, Marc M. Van Hulle

Mutual Information, Fisher Information and Population Coding Nicolas Brunel, Jean-Pierre Nadal

Natural Gradient Works Efficiently in Learning Shun-ichi Amari

Near Saddle-Node Bifurcation Behavior as Dynamics in Working Memory for Goal-Directed Behavior Hiroyuki Nakahara, Kenji Doya

Neural Feature Abstraction from Judgements of Similarity Michael D. Lee

Neural Networks with Dynamic Synapses Misha Tsodyks, Klaus Pawelzik, Henry Markram

Neural Processing of the Subsecond Time Range in the Temporal Cortex Kiyohiko Nakamura

Nonlinear Component Analysis as a Kernel Eigenvalue Problem Bernhard Schölkopf, Alexander J. Smola, Klaus-Robert Müller

Nonlinear Time-Series Prediction with Missing and Noisy Data Volker Tresp, Reimar Hofmann

On Numerical Simulations of Integrate-and-Fire Neural Networks David Hansel, Germán Mato, Claude Meunier, L. Neltner

On the Effect of Analog Noise in Discrete-Time Analog Computations Wolfgang Maass, Pekka Orponen

Online Learning from Finite Training Sets and Robustness to Input Bias Peter Sollich, David Barber

Ordering of Self-Organizing Maps in Multi-Dimensional Cases Guang-Bin Huang, Haroon A. Babri, Hua-Tian Li

Pattern Generation by Two Coupled Time-Discrete Neural Networks with Synaptic Depression Walter Senn, Thierry Wannier, J. Kleinle, Hans-Rudolf Lüscher, L. Müller, Jürg Streit, Kuno Wyler

Predicting the Distribution of Synaptic Strengths in a Self-Organizing, Sequence Prediction Model Asohan Amarasingham, William B. Levy

Predictive Neural Networks for Learning the Time Course of Blood Glucose Levels from the Complex Interaction of Counterregulartory Hormones Klaus Prank, Clemens Jürgens, Alexander von zur Mühlen, Georg Brabant

Probabilistic Interpretation of Population Codes Richard S. Zemel, Peter Dayan, Alexandre Pouget

Probability Density Estimation Using Entropy Maximization Gad Miller, David Horn

Probability Density Methods for Smooth Function Approximation and Learning in Populations of Tuned Spiking Neurons Terence D. Sanger

Properties of Support Vector Machines Massimiliano Pontil, Alessandro Verri

Reading Neuronal Synchrony with Depressing Synapses Walter Senn, Idan Segev, Misha Tsodyks

Receptive Field Formation in Natural Scene Environments: Comparison of Single Cell Learning Rules Brian S. Blais, Nathan Intrator, Harel Z. Shouval, Leon N. Cooper

Retrieval Dynamics in Oscillator Neural Networks Toshio Aoyagi, Katsunori Kitano

RST: A Connectionist Architecture to Deal with Spatiotemporal Relationships Jean-Cédric Chappelier, Alain Grumbach

Site-Selective Autophosphorylation of Ca2+/Calmodulin-Dependent Protein Kinase II as a Synaptic Encoding Mechanism Christopher J. Coomber

Spatial Decorrelation in Orientation-Selective Cortical Cells Alexander Dimitrov, Jack D. Cowan

Spike Frequency Adaptation Affects the Synchronization Properties of Networks of Cortical Oscillator Sharon M. Crook, Bard Ermentrout, James M. Bower

Stable and Rapid Recurrent Processing in Realistic Autoassociative Memories Francesco P. Battaglia, Alessandro Treves

State Dependent Weights for Neural Associative Memories Ravi Kothari, Rohit Lotlikar, Marc Cathay

Statistically Efficient Estimation Using Population Coding Alexandre Pouget, Kechen Zhang, Sophie Denève, Peter E. Latham

Synaptic Delay Learning in Pulse-Coupled Neurons Harold Hüning, Helmut Glünder, Günther Palm

Synaptic Pruning in Development: A Computational Account Gal Chechik, Isaac Meilijson, Eytan Ruppin

Synaptic Runaway in Associative Networks and the Pathogenesis of Schizophrenia Asnat Greenstein-Messica, Eytan Ruppin

Temporal-to Rate-Code Conversion by Neuronal Phase-Locked Loops Ehud Ahissar

The Diabolo Classifier Holger Schwenk

The Influence Function of Principal Component Analysis by Self-Organizing Rule Isao Higuchi, Shinto Eguchi

The Role of the Hippocampus in Solving the Morris Water Maze A. David Redish, David S. Touretzky

Towards a Biophysically Plausible Bidirectional Hebbian Rule Norberto M. Grzywacz, Pierre-Yves Burgi

Towards Optimally Distributed Computation Peter J. Edwards, Alan F. Murray

Transform Invariant Recognition by Association in a Recurrent Network Néstor Parga, Edmund T. Rolls

Validation of Voting Committees Eric T. Bax

Weight Value Convergence of the SOM Algorithm for Discrete Input Siming Lin, Jennie Si

Why Does the Somatosensory Homunculus Have Hand Next to Face and Feet Next to Genitals?: An Hypothesis Martha J. Farah