Artificial Neural Networks: Biological Inspirations - Icann 2005: 15th International Conference, Warsaw, Poland, September 11-15, 2005, Proceedings, P (Paperback, 2005)

'Modeling the Brain and Cognitive Functions.- Novelty Analysis in Dynamic Scene for Autonomous Mental Development.- The Computational Model to Simulate the Progress of Perceiving Patterns in Neuron Population.- Short Term Memory and Pattern Matching with Simple Echo State Networks.- Analytical Solution for Dynamic of Neuronal Populations.- Dynamics of Cortical Columns - Sensitive Decision Making.- Dynamics of Cortical Columns - Self-organization of Receptive Fields.- Optimal Information Transmission Through Cortico-Cortical Synapses.- Ensemble of SVMs for Improving Brain Computer Interface P300 Speller Performances.- Modelling Path Integrator Recalibration Using Hippocampal Place Cells.- Coding of Objects in Low-Level Visual Cortical Areas.- A Gradient Rule for the Plasticity of a Neuron's Intrinsic Excitability.- Building the Cerebellum in a Computer.- Special Session: The Development of Cognitive Powers in Embodied Systems.- Combining Attention and Value Maps.- Neural Network with Memory and Cognitive Functions.- Associative Learning in Hierarchical Self Organizing Learning Arrays.- A Review of Cognitive Processing in the Brain.- Spiking Neural Networks.- Neuronal Behavior with Sub-threshold Oscillations and Spiking/Bursting Activity Using a Piecewise Linear Two-Dimensional Map.- On-Line Real-Time Oriented Application for Neuronal Spike Sorting with Unsupervised Learning.- A Spiking Neural Sparse Distributed Memory Implementation for Learning and Predicting Temporal Sequences.- ANN-Based System for Sorting Spike Waveforms Employing Refractory Periods.- Emergence of Oriented Cell Assemblies Associated with Spike-Timing-Dependent Plasticity.- An Information Geometrical Analysis of Neural Spike Sequences.- Perceptual Binding by Coupled Oscillatory Neural Network.- Experimental Demonstration of Learning Properties of a New Supervised Learning Method for the Spiking Neural Networks.- Single-Unit Recordings Revisited: Activity in Recurrent Microcircuits.- A Hardware/Software Framework for Real-Time Spiking Systems.- Efficient Source Detection Using Integrate-and-Fire Neurons.- Associative Memory Models.- A Model for Hierarchical Associative Memories via Dynamically Coupled GBSB Neural Networks.- Balance Algorithm for Point-Feature Label Placement Problem.- Models of Self-correlation Type Complex-Valued Associative Memories and Their Dynamics.- Recovery of Performance in a Partially Connected Associative Memory Network Through Coding.- Optimal Triangle Stripifications as Minimum Energy States in Hopfield Nets.- Models of Biological Functions.- A Biophysical Model of Decision Making in an Antisaccade Task Through Variable Climbing Activity.- Can Dynamic Neural Filters Produce Pseudo-Random Sequences?.- Making Competition in Neural Fields Suitable for Computational Architectures.- Neural Network Computations with Negative Triggering Thresholds.- A Model for Delay Activity Without Recurrent Excitation.- Neuronal Coding Strategies for Two-Alternative Forced Choice Tasks.- Learning Features of Intermediate Complexity for the Recognition of Biological Motion.- Study of Nitric Oxide Effect in the Hebbian Learning: Towards a Diffusive Hebb's Law.- Special Session: Projects in the Area of NeuroIT.- Deterministic Modelling of Randomness with Recurrent Artificial Neural Networks.- Action Understanding and Imitation Learning in a Robot-Human Task.- Comparative Investigation into Classical and Spiking Neuron Implementations on FPGAs.- HYDRA: From Cellular Biology to Shape-Changing Artefacts.- The CIRCE Head: A Biomimetic Sonar System.- Tools for Address-Event-Representation Communication Systems and Debugging.- New Ears for a Robot Cricket.- Reinforcement Learning in MirrorBot.- Evolutionary and Other Biological Inspirations.- Varying the Population Size of Artificial Foraging Swarms on Time Varying Landscapes.- Lamarckian Clonal Selection Algorit