Artificial Neural Networks -- Icann 2002: International Conference, Madrid, Spain, August 28-30, 2002. Proceedings (Paperback, 2002)

Computational Neuroscience.- A Neurodynamical Theory of Visual Attention: Comparisons with fMRI- and Single-Neuron Data.- A Neural Model of Spatio Temporal Coordination in Prehension.- Stabilized Dynamics in Physiological and Neural Systems Despite Strongly Delayed Feedback.- Learning Multiple Feature Representations from Natural Image Sequences.- Analysis of Biologically Inspired Small-World Networks.- Receptive Fields Similar to Simple Cells Maximize Temporal Coherence in Natural Video.- Noise Induces Spontaneous Synchronous Aperiodic Activity in EI Neural Networks.- Multiple Forms of Activity-Dependent Plasticity Enhance Information Transfer at a Dynamic Synapse.- Storage Capacity of Kernel Associative Memories.- Macrocolumns as Decision Units.- Nonlinear Analysis of Simple Cell Tuning in Visual Cortex.- Clustering within Integrate-and-Fire Neurons for Image Segmentation.- Symmetry Detection Using Global-Locally Coupled Maps.- Applying Slow Feature Analysis to Image Sequences Yields a Rich Repertoire of Complex Cell Properties.- Combining Multimodal Sensory Input for Spatial Learning.- A Neural Network Model Generating Invariance for Visual Distance.- Modeling Neural Control of Locomotion: Integration of Reflex Circuits with CPG.- Comparing the Information Encoded by Different Brain Areas with Functional Imaging Techniques.- Mean-Field Population Dynamics of Spiking Neurons with Random Synaptic Delays.- Stochastic Resonance and Finite Resolution in a Network of Leaky Integrate-and-Fire Neurons.- Reducing Communication for Distributed Learning in Neural Networks.- Flow Diagrams of the Quadratic Neural Network.- Dynamics of a Plastic Cortical Network.- Non-monotonic Current-to-Rate Response Function in a Novel Integrate-and-Fire Model Neuron.- Small-World Effects in Lattice Stochastic Diffusion Search.- A Direction Sensitive Network Based on a Biophysical Neurone Model.- Characterization of Triphasic Rhythms in Central Pattern Generators (I): Interspike Interval Analysis.- Characterization of Triphasic Rhythms in Central Pattern Generators (II): Burst Information Analysis.- Neural Coding Analysis in Retinal Ganglion Cells Using Information Theory.- Firing Rate Adaptation without Losing Sensitivity to Input Fluctuations.- Does Morphology Influence Temporal Plasticity?.- Attractor Neural Networks with Hypercolumns.- Edge Detection and Motion Discrimination in the Cuneate Nucleus.- Encoding the Temporal Statistics of Markovian Sequences of Stimuli in Recurrent Neuronal Networks.- Multi-stream Exploratory Projection Pursuit for the Formation of Complex Cells Similar to Visual Cortical Neurons.- A Corticospinal Network for Control of Voluntary Movements of a Physiologically Based Experimental Platform.- Firing Rate for a Generic Integrate-and-Fire Neuron with Exponentially Correlated Input.- Iterative Population Decoding Based on Prior Beliefs.- When NMDA Receptor Conductances Increase Inter- spike Interval Variability.- Spike- Driven Synaptic Plasticity for Learning Correlated Patterns of Asynchronous Activity.- A Model of Human Cortical Microcircuits for the Study of the Development of Epilepsy.- On the Computational Power of Neural Microcircuit Models: Pointers to the Literature.- Connectionist Cognitive Science.- Networking with Cognitive Packets.- Episodic Memory: A Connectionist Interpretation.- Action Scheme Scheduling with a Neural Architecture: A Prefrontal Cortex Approach.- Associative Arithmetic with Boltzmann Machines: The Role of Number Representations.- Learning the Long-Term Structure of the Blues.- Recursive Neural Networks Applied to Discourse Representation Theory.- Recurrent Neural Learning for Helpdesk Call Routing.- An Approach to Encode Multilayer Perceptrons.- Dynamic Knowledge Representation in Connectionist Systems.- Generative Capacities of Cellular Automata Codification for Evolution of NN Codification.- Data Analysis and Pattern Recognition.- Entropic Measures with Radial Basis Units.- New Methods f