| Computational Neuroscience |
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A Neurodynamical Theory of Visual Attention: Comparisons with fMRI- and Single-Neuron Data |
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3 | (6) |
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A Neural Model of Spatio Temporal Coordination in Prehension |
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9 | (6) |
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Stabilized Dynamics in Physiological and Neural Systems Despite Strongly Delayed Feedback |
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15 | (6) |
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Learning Multiple Feature Representations from Natural Image Sequences |
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21 | (6) |
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Analysis of Biologically Inspired Small-World Networks |
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27 | (6) |
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Receptive Fields Similar to Simple Cells Maximize Temporal Coherence in Natural Video |
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33 | (6) |
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Noise Induces Spontaneous Synchronous Aperiodic Activity in EI Neural Networks |
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39 | (6) |
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Multiple Forms of Activity-Dependent Plasticity Enhance Information Transfer at a Dynamic Synapse |
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45 | (6) |
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Storage Capacity of Kernel Associative Memories |
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51 | (6) |
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Macrocolumns as Decision Units |
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57 | (6) |
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Christoph von der Malsburg |
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Nonlinear Analysis of Simple Cell Tuning in Visual Cortex |
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63 | (6) |
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Clustering within Integrate-and-Fire Neurons for Image Segmentation |
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69 | (6) |
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Symmetry Detection Using Global-Locally Coupled Maps |
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75 | (6) |
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Applying Slow Feature Analysis to Image Sequences Yields a Rich Repertoire of Complex Cell Properties |
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81 | (6) |
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Combining Multimodal Sensory Input for Spatial Learning |
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87 | (6) |
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A Neural Network Model Generating Invariance for Visual Distance |
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93 | (6) |
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Modeling Neural Control of Locomotion: Integration of Reflex Circuits with CPG |
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99 | (6) |
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Comparing the Information Encoded by Different Brain Areas with Functional Imaging Techniques |
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105 | (6) |
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Mean-Field Population Dynamics of Spiking Neurons with Random Synaptic Delays |
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111 | (6) |
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Stochastic Resonance and Finite Resolution in a Network of Leaky Integrate-and-Fire Neurons |
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117 | (6) |
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Reducing Communication for Distributed Learning in Neural Networks |
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123 | (6) |
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Flow Diagrams of the Quadratic Neural Network |
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129 | (6) |
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Dynamics of a Plastic Cortical Network |
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135 | (6) |
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Non-monotonic Current-to-Rate Response Function in a Novel Integrate-and-Fire Model Neuron |
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141 | (6) |
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Small-World Effects in Lattice Stochastic Diffusion Search |
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147 | (6) |
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A Direction Sensitive Network Based on a Biophysical Neurone Model |
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153 | (7) |
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Characterization of Triphasic Rhythms in Central Pattern Generators (I): Interspike Interval Analysis |
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160 | (7) |
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Characterization of Triphasic Rhythms in Central Pattern Generators (II): Burst Information Analysis |
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167 | (7) |
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Neural Coding Analysis in Retinal Ganglion Cells Using Information Theory |
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174 | (6) |
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Firing Rate Adaptation without Losing Sensitivity to Input Fluctuations |
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180 | (6) |
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Does Morphology Influence Temporal Plasticity? |
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186 | (6) |
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Attractor Neural Networks with Hypercolumns |
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192 | (6) |
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Edge Detection and Motion Discrimination in the Cuneate Nucleus |
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198 | (6) |
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Encoding the Temporal Statistics of Markovian Sequences of Stimuli in Recurrent Neuronal Networks |
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204 | (6) |
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Alessandro Usseglio Viretta |
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Multi-stream Exploratory Projection Pursuit for the Formation of Complex Cells Similar to Visual Cortical Neurons |
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210 | (6) |
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A Corticospinal Network for Control of Voluntary Movements of a Physiologically Based Experimental Platform |
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216 | (7) |
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Firing Rate for a Generic Integrate-and-Fire Neuron with Exponentially Correlated Input |
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223 | (6) |
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Iterative Population Decoding Based on Prior Beliefs |
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229 | (6) |
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When NMDA Receptor Conductances Increase Inter-spike Interval Variability |
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235 | (6) |
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Spike-Driven Synaptic Plasticity for Learning Correlated Patterns of Asynchronous Activity |
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241 | (7) |
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A Model of Human Cortical Microcircuits for the Study of the Development of Epilepsy |
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248 | (6) |
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On the Computational Power of Neural Microcircuit Models: Pointers to the Literature |
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254 | (5) |
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| Connectionist Cognitive Science |
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Networking with Cognitive Packets |
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259 | (6) |
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Episodic Memory: A Connectionist Interpretation |
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265 | (6) |
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Action Scheme Scheduling with a Neural Architecture: A Prefrontal Cortex Approach |
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271 | (6) |
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Associative Arithmetic with Boltzmann Machines: The Role of Number Representations |
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277 | (7) |
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Learning the Long-Term Structure of the Blues |
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284 | (6) |
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Recursive Neural Networks Applied to Discourse Representation Theory |
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290 | (6) |
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Recurrent Neural Learning for Helpdesk Call Routing |
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296 | (6) |
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An Approach to Encode Multilayer Perceptrons |
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302 | (6) |
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Dynamic Knowledge Representation in Connectionist Systems |
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308 | (6) |
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Generative Capacities of Cellular Automata Codification for Evolution of NN Codification |
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314 | (9) |
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| Data Analysis and Pattern Recognition |
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Entropic Measures with Radial Basis Units |
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323 | (6) |
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New Methods for Splice Site Recognition |
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329 | (8) |
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A Weak Condition on Linear Independence of Unscaled Shifts of a Function and Finite Mappings by Neural Networks |
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337 | (7) |
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Identification of Wiener Model Using Radial Basis Functions Neural Networks |
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344 | (7) |
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A New Learning Algorithm for Mean Field Boltzmann Machines |
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351 | (7) |
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A Continuous Restricted Boltzmann Machine with a Hardware-Amenable Learning Algorithm |
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358 | (6) |
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Human Recognition by Gait Analysis Using Neural Networks |
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364 | (6) |
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Learning Vector Quantization for Multimodal Data |
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370 | (7) |
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Learning the Dynamic Neural Networks with the Improvement of Generalization Capabilities |
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377 | (6) |
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Model Clustering for Neural Network Ensembles |
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383 | (6) |
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Does Crossover Probability Depend on Fitness and Hamming Differences in Genetic Algorithms? |
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389 | (6) |
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Jose Luis Fernandez-Villacanas Martin |
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Extraction of Fuzzy Rules Using Sensibility Analysis in a Neural Network |
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395 | (6) |
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A Simulated Annealing and Resampling Method for Training Perceptrons to Classify Gene-Expression Data |
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401 | (7) |
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Neural Minimax Classifiers |
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408 | (6) |
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Sampling Parameters to Estimate a Mixture Distribution with Unknown Size |
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414 | (6) |
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Selecting Neural Networks for Making a Committee Decision |
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420 | (6) |
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High-Accuracy Mixed-Signal VLSI for Weight Modification in Contrastive Divergence Learning |
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426 | (6) |
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Data Driven Generation of Interactions for Feature Binding and Relaxation Labeling |
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432 | (6) |
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A Hybrid Two-Stage Fuzzy ARTMAP and LVQ Neuro-Fuzzy System for Online Handwriting Recognition |
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438 | (6) |
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A New Learning Method for Piecewise Linear Regression |
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444 | (6) |
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Giancarlo Ferrari-Trecate |
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Stable Adaptive Momentum for Rapid Online Learning in Nonlinear Systems |
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450 | (6) |
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Potential Energy and Particle Interaction Approach for Learning in Adaptive Systems |
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456 | (6) |
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Piecewise-Linear Approximation of Any Smooth Output Function on the Cellular Neural Network |
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462 | (6) |
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MDL Based Model Selection for Relevance Vector Regression |
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468 | (6) |
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On the Training of a Kolmogorov Network |
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474 | (6) |
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A New Method of Feature Extraction and Its Stability |
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480 | (6) |
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Visualization and Analysis of Web Navigation Data |
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486 | (6) |
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Missing Value Estimation Using Mixture of PCAs |
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492 | (6) |
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High Precision Measurement of Fuel Density Profiles in Nuclear Fusion Plasmas |
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498 | (6) |
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Heterogeneous Forests of Decision Trees |
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504 | (6) |
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Independent Component Analysis for Domain Independent Watermarking |
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510 | (6) |
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Applying Machine Learning to Solve an Estimation Problem in Software Inspections |
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516 | (6) |
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Clustering of Gene Expression Data by Mixture of PCA Models |
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522 | (6) |
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Selecting Ridge Parameters in Infinite Dimensional Hypothesis Spaces |
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528 | (7) |
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A New Sequential Algorithm for Regression Problems by Using Mixture Distribution |
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535 | (6) |
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Neural-Based Classification of Blocks from Documents |
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541 | (6) |
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Feature Selection via Genetic Optimization |
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547 | (6) |
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Neural Networks, Clustering Techniques, and Function Approximation Problems |
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553 | (6) |
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Evolutionary Training of Neuro-Fuzzy Patches for Function Approximation |
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559 | (6) |
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Using Recurrent Neural Networks for Automatic Chromosome Classification |
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565 | (6) |
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A Mixed Ensemble Approach for the Semi-supervised Problem |
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571 | (6) |
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Using Perceptrons for Supervised Classification of DNA Microarray Samples: Obtaining the Optimal Level of Information and Finding Differentially Expressed Genes |
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577 | (6) |
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Lower Bounds for Training and Leave-One-Out Estimates of the Generalization Error |
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583 | (6) |
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SSA, SVD, QR-cp, and RBF Model Reduction |
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589 | (6) |
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Linkage Analysis: A Bayesian Approach |
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595 | (6) |
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On Linear Separability of Sequences and Structures |
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601 | (6) |
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Stability-Based Model Order Selection in Clustering with Applications to Gene Expression Data |
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607 | (6) |
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EM-Based Radial Basis Function Training with Partial Information |
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613 | (6) |
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Stochastic Supervised Learning Algorithms with Local and Adaptive Learning Rate for Recognising Hand-Written Characters |
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619 | (6) |
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Input and Output Feature Selection |
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625 | (6) |
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Optimal Extraction of Hidden Causes |
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631 | (6) |
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Towards a New Information Processing Measure for Neural Computation |
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637 | (6) |
|
Manuel A. Sanchez-Montanes |
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A Scalable and Efficient Probabilistic Information Retrieval and Text Mining System |
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643 | (6) |
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Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit |
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649 | (6) |
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Learning Context Sensitive Languages with LSTM Trained with Kalman Filters |
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655 | (6) |
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Hierarchical Model Selection for NGnet Based on Variational Bayes Inference |
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661 | (6) |
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Multi-layer Perceptrons for Functional Data Analysis: A Projection Based Approach |
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667 | (6) |
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Natural Gradient and Multiclass NLDA Networks |
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673 | (8) |
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| Kernel Methods |
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|
A Greedy Training Algorithm for Sparse Least-Squares Support Vector Machines |
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681 | (6) |
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Selection of Meta-parameters for Support Vector Regression |
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687 | (7) |
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Kernel Matrix Completion by Semidefinite Programming |
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694 | (6) |
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Incremental Sparse Kernel Machine |
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700 | (7) |
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Frame Kernels for Learning |
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707 | (6) |
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Robust Cross-Validation Score Function for Non-linear Function Estimation |
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713 | (7) |
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Compactly Supported RBF Kernels for Sparsifying the Gram Matrix in LS-SVM Regression Models |
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720 | (7) |
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727 | (6) |
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Support Vector Representation of Multi-categorical Data |
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733 | (6) |
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Robust De-noising by Kernel PCA |
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739 | (6) |
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Maximum Contrast Classifiers |
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745 | (6) |
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Puncturing Multi-class Support Vector Machines |
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751 | (6) |
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Multi-dimensional Function Approximation and Regression Estimation |
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757 | (6) |
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|
|
Anibal R. Figueiras-Vidal |
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Detecting the Number of Clusters Using a Support Vector Machine Approach |
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763 | (6) |
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Mixtures of Probabilistic PCAs and Fisher Kernels for Word and Document Modeling |
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769 | (8) |
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| Robotics and Control |
|
|
Reinforcement Learning for Biped Locomotion |
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777 | (6) |
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Dynamical Neural Schmitt Trigger for Robot Control |
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783 | (6) |
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Evolutionary Artificial Neural Networks for Quadruped Locomotion |
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789 | (6) |
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Saliency Maps Operating on Stereo Images Detect Landmarks and Their Distance |
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795 | (6) |
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A Novel Approach to Modelling and Exploiting Uncertainty in Stochastic Control Systems |
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801 | (6) |
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Tool Wear Prediction in Milling Using Neural Networks |
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807 | (6) |
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Speeding-up Reinforcement Learning with Multi-step Actions |
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813 | (6) |
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Extended Kalman Filter Trained Recurrent Radial Basis Function Network in Nonlinear System Identification |
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819 | (6) |
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Integration of Metric Place Relations in a Landmark Graph |
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825 | (6) |
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Hierarchical Object Classification for Autonomous Mobile Robots |
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831 | (6) |
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Self Pruning Gaussian Synapse Networks for Behavior Based Robots |
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837 | (7) |
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Second-Order Conditioning in Mobile Robots |
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844 | (6) |
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An Optimal Sensor Morphology Improves Adaptability of Neural Network Controllers |
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850 | (6) |
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|
Learning Inverse Kinematics via Cross-Point Function Decomposition |
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856 | (9) |
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| Selforganization |
|
|
The Principal Components Analysis Self-Organizing Map |
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865 | (6) |
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Using Smoothed Data Histograms for Cluster Visualization in Self-Organizing Maps |
|
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871 | (6) |
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Rule Extraction from Self-Organizing Networks |
|
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877 | (7) |
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Predictive Self-Organizing Map for Vector Quantization of Migratory Signals |
|
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884 | (6) |
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Categorical Topological Map |
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890 | (6) |
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Spike-Timing Dependent Competitive Learning of Integrate-and-Fire Neurons with Active Dendrites |
|
|
896 | (6) |
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Parametrized SOMs for Object Recognition and Pose Estimation |
|
|
902 | (6) |
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|
An Effective Traveling Salesman Problem Solver Based on Self-Organizing Map |
|
|
908 | (6) |
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|
|
Coordinating Principal Component Analyzers |
|
|
914 | (6) |
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|
|
Lateral Interactions in Self-Organizing Maps |
|
|
920 | (7) |
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|
|
Complexity Selection of the Self-Organizing Map |
|
|
927 | (6) |
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|
|
Nonlinear Projection with the Isotop Method |
|
|
933 | (6) |
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|
|
Asymptotic Level Density of the Elastic Net Self-Organizing Feature Map |
|
|
939 | (6) |
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|
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Local Modeling Using Self-Organizing Maps and Single Layer Neural Networks |
|
|
945 | (6) |
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|
Distance Matrix Based Clustering of the Self-Organizing Map |
|
|
951 | (6) |
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|
|
Mapping the Growing Neural Gas to Situation Calculus |
|
|
957 | (6) |
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|
|
Robust Unsupervised Competitive Neural Network by Local Competitive Signals |
|
|
963 | (6) |
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|
|
Goal Sequencing for Construction Agents in a Simulated Environment |
|
|
969 | (6) |
|
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|
|
Nonlinear Modeling of Dynamic Systems with the Self-Organizing Map |
|
|
975 | (6) |
|
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|
|
Implementing Relevance Feedback as Convolutions of Local Neighborhoods on Self-Organizing Maps |
|
|
981 | (6) |
|
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|
|
A Pareto Self-Organizing Map |
|
|
987 | (6) |
|
|
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|
|
A SOM Variant Based on the Wilcoxon Test for Document Organization and Retrieval |
|
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993 | (6) |
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Learning More Accurate Metrics for Self-Organizing Maps |
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999 | (6) |
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Correlation Visualization of High Dimensional Data Using Topographic Maps |
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1005 | (8) |
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| Signal and Time Series Analysis |
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Continuous Unsupervised Sleep Staging Based on a Single EEG Signal |
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1013 | (6) |
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Financial APT-Based Gaussian TFA Learning for Adaptive Portfolio Management |
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1019 | (6) |
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On Convergence of an Iterative Factor Estimate Algorithm for the NFA Model |
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1025 | (6) |
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Error Functions for Prediction of Episodes of Poor Air Quality |
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1031 | (6) |
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Adaptive Importance Sampling Technique for Neural Detector Training |
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1037 | (6) |
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Francisco Alvarez- Vaquero |
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State Space Neural Networks for Freeway Travel Time Prediction |
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1043 | (6) |
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Overcomplete ICA with a Geometric Algorithm |
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1049 | (6) |
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Improving Long-Term Online Prediction with Decoupled Extended Kalman Filters |
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1055 | (6) |
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Market Modeling Based on Cognitive Agents |
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1061 | (7) |
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An Efficiently Focusing Large Vocabulary Language Model |
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1068 | (6) |
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Neuro-classification of Bill Fatigue Levels Based on Acoustic Wavelet Components |
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1074 | (6) |
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Robust Estimator for the Learning Process in Neural Networks Applied in Time Series |
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1080 | (7) |
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An Improved Cumulant Based Method for Independent Component Analysis |
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1087 | (7) |
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Finding the Optimal Continuous Model for Discrete Data by Neural Network Interpolation of Fractional Iteration |
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1094 | (6) |
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Support Vector Robust Algorithms for Non-parametric Spectral Analysis |
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1100 | (6) |
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Anibal R. Figueiras-Vidal |
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Support Vector Method for ARMA System Identification: A Robust Cost Interpretation |
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1106 | (6) |
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Anibal R. Figueiras-Vidal |
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Dynamics of ICA for High-Dimensional Data |
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1112 | (7) |
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Beyond Comon's Identifiability Theorem for Independent Component Analysis |
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1119 | (6) |
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Temporal Processing of Brain Activity for the Recognition of EEG Patterns |
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1125 | (6) |
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Critical Assessment of Option Pricing Methods Using Artificial Neural Networks |
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1131 | (6) |
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Single Trial Detection of EEG Error Potentials: A Tool for Increasing BCI Transmission Rates |
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1137 | (7) |
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Dynamic Noise Annealing for Learning Temporal Sequences with Recurrent Neural Networks |
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1144 | (6) |
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Convolutional Neural Networks for Radar Detection |
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1150 | (6) |
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A Simple Generative Model for Single-Trial EEG Classification |
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1156 | (6) |
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Robust Blind Source Separation Utilizing Second and Fourth Order Statistics |
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1162 | (6) |
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Adaptive Differential Decorrelation: A Natural Gradient Algorithm |
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1168 | (6) |
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An Application of SVM to Lost Packets Reconstruction in Voice-Enabled Services |
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1174 | (6) |
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Ascension Gallardo-Antolin |
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Baum-Welch Learning in Discrete Hidden Markov Models with Linear Factorial Constraints |
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1180 | (6) |
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Mixtures of Autoregressive Models for Financial Risk Analysis |
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1186 | (9) |
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|
| Vision and Image Processing |
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Kernel-Based 3D Object Representation |
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1195 | (6) |
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Multiresolution Support for Adaptive Image Restoration Using Neural Networks |
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1201 | (6) |
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Audio-Visual Speech Recognition One Pass Learning with Spiking Neurons |
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1207 | (6) |
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An Algorithm for Image Representation as Independent Levels of Resolution |
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1213 | (6) |
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Circular Back-Propagation Networks for Measuring Displayed Image Quality |
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1219 | (6) |
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Unsupervised Learning of Combination Features for Hierarchical Recognition Models |
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1225 | (6) |
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Type of Blur and Blur Parameters Identification Using Neural Network and Its Application to Image Restoration |
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1231 | (6) |
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Using Neural Field Dynamics in the Context of Attentional Control |
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1237 | (6) |
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A Component Association Architecture for Image Understanding |
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1243 | (6) |
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Novelty Detection in Video Surveillance Using Hierarchical Neural Networks |
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1249 | (6) |
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Vergence Control and Disparity Estimation with Energy Neurons: Theory and Implementation |
|
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1255 | (6) |
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Population Coding of Multiple Edge Orientation |
|
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1261 | (7) |
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A Neural Model of the Fly Visual System Applied to Navigational Tasks |
|
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1268 | (7) |
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A Neural Network Model for Pattern Recognition Based on Hypothesis and Verification with Moving Region of Attention |
|
|
1275 | (6) |
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Automatic Fingerprint Verification Using Neural Networks |
|
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1281 | (6) |
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Fusing Images with Multiple Focuses Using Support Vector Machines |
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1287 | (6) |
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An Analog VLSI Pulsed Neural Network for Image Segmentation Using Adaptive Connection Weights |
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1293 | (6) |
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Kohonen Maps Applied to Fast Image Vector Quantization |
|
|
1299 | (6) |
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Unsupervised -- Neural Network Approach for Efficient Video Description |
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1305 | (7) |
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Neural Networks Retraining for Unsupervised Video Object Segmentation of Videoconference Sequences |
|
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1312 | (7) |
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Learning Face Localization Using Hierarchical Recurrent Networks |
|
|
1319 | (6) |
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A Comparison of Face Detection Algorithms |
|
|
1325 | (8) |
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|
| Special Session: Adaptivity in Neural Computation |
|
|
Adaptive Model Selection for Digital Linear Classifiers |
|
|
1333 | (6) |
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|
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Sequential Learning in Feedforward Networks: Proactive and Retroactive Interference Minimization |
|
|
1339 | (6) |
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Automatic Hyperparameter Tuning for Support Vector Machines |
|
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1345 | (6) |
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|
|
Conjugate Directions for Stochastic Gradient Descent |
|
|
1351 | (8) |
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|
|
| Special Session: Recurrent Neural Systems |
|
|
Architectural Bias in Recurrent Neural Networks -- Fractal Analysis |
|
|
1359 | (6) |
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|
|
Continuous-State Hopfield Dynamics Based on Implicit Numerical Methods |
|
|
1365 | (6) |
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|
|
Time-Scaling in Recurrent Neural Learning |
|
|
1371 | (6) |
|
|
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|
| Author Index |
|
1377 | |
Other versions by this Author
