Brain, Vision, and Artificial Intelligence: First International Symposium, BVAI 2005, Naples, Italy, October 19-21, 2005, Proceedings

ISBN-13: 9783540292821 / Angielski / Miękka / 2005 / 556 str.

Massimo De Gregorio;Vito Di Maio;Maria Frucci

Opis

The 1st International Symposium on Brain, Vision & Arti?cial Intelligence (BVAI, Naples, Italy, October 19 21, 2005) was a multidisciplinary symposium aimed at gathering scientists involved in study of the Brain, Vision and Intel- gence, from both the natural and arti?cial points of view. The underlying idea was that to advance in each of the above research topics, integration with and attention to others is necessary. The overall rationale of the BVAI symposium wasbasedonamultidisciplinary approachofbiophysicsandneurobiology, visual and cognitive sciences and cybernetics, dealing with the interactions of natural and arti?cial systems. BVAI was conceived and organized by a group of researchers active in the BVAI topics of the Institute of Cybernetics E. Caianiello of the Italian National Research Council, Pozzuoli, Naples (ICIB-CNR), with the support of the Italian Institute for PhilosophicalStudies (IISF), and the help of the Mac- scopic Quantum Coherence and Computing Association (MQC2). BVAI was sponsored by the EBSA (European Biophysics Societies Association) which in particular provided travel grants for deserving young participants from outside Italy. The symposium was held under the auspices of the AI*IA (Italian Asso- ation of Arti?cial Intelligence), GIRPR (Italian Group of Researchersin Pattern Recognition), SIBPA (Italian Society ofPure and Applied Biophysics)andSINS (Italian Society for Neurosciences). BVAI addressed the following main topics and subtopics: BrainBasics: neuroanatomyandphysiology;development, plasticityandlea- ing; synaptic, neuronic and neural network modelling. Natural Vision: visual neurosciences; mechanisms and model systems, visual perception, visual cognition. Arti?cialVision: shapeperception, shape analysisand recognition, shape - derstanding. Arti?cial Intelligence: hybrid intelligent systems, agents, cognitive models."

Spis treści

Brain Basics.- Towards a Dynamic Neuropharmacology: Integrating Network and Receptor Levels.- Cortical Architecture.- Unsupervised Recognition of Neuronal Discharge Waveforms for On-line Real-Time Operation.- Neural Connectivity and Dynamical Regimes of Neural Activity in a Network of Interactive Populations.- Signal Transmission and Synchrony Detection in a Network of Inhibitory Interneurons.- Stimulus-Driven Unsupervised Synaptic Pruning in Large Neural Networks.- Inverse First Passage Time Method in the Analysis of Neuronal Interspike Intervals of Neurons Characterized by Time Varying Dynamics.- Coding by Neural Population Oscillations?.- Neural Code and Irregular Spike Trains.- Natural Vision.- Basic Retinal Circuitry in Health and Disease.- Does a Plane Imitate a Bird? Does Computer Vision Have to Follow Biological Paradigms?.- A Neural Model of Human Object Recognition Development.- Photoelectric Response of Bacteriorhodopsin in Thin PVA Films and Its Model.- Non-image Forming Function of the Extraocular Photoreceptors in the Ganglion of the Sea Slug Onchidium.- A Population-Based Inference Framework for Feature-Based Attention in Natural Scenes.- Multi-modal Primitives as Functional Models of Hyper-columns and Their Use for Contextual Integration.- Three Dilemmas of Signal- and Symbol-Based Representations in Computer Vision.- An LGN Inspired Detect/Transmit Framework for High Fidelity Relay of Visual Information with Limited Bandwidth.- On Cognitive Dynamic Map and Its Use for Navigation in Space.- Visual Selection in Human Frontal Eye Fields.- Multi-scale Keypoints in V1 and Face Detection.- Limitation of Maintenance of Feature-Bound Objects in Visual Working Memory.- Molecular and Functional Diversity of Visual Pigments: Clues from the Photosensitive Opsin–Like Proteins of the Animal Model Hydra.- Learning Location Invariance for Object Recognition and Localization.- Artificial Inteligence.- Enacted Theories of Visual Awareness: A Neuromodelling Analysis.- Mind as an Anticipatory Device: For a Theory of Expectations.- A Cognitive Model for Autonomous Agents Based on Bayesian Programming.- A Structural Learning Algorithm and Its Application to Predictive Toxicology Evaluation.- Combining Rule-Based and Sample-Based Classifiers – Probabilistic Approach.- Mapping and Combining Combinatorial Problems into Energy Landscapes via Pseudo-Boolean Constraints.- Robust Ellipse-Specific Fitting for Real-Time Machine Vision.- A Feature-Based Model of Semantic Memory: The Importance of Being Chaotic.- Semantic Web Services with SOUL.- Artificial Vision.- Modeling the Brain’s Operating System.- A Bayesian Approach to Situated Vision.- A Fuzzy Scale-Space Approach to Feature-Based Image Representation and Retrieval.- Active Acquisition of 3D Map in Robot Brain by Combining Motion and Perceived Images.- Lateral Interaction in Accumulative Computation: Motion-Based Grouping Method.- Detecting and Ranking Foreground Regions in Gray-Level Images.- Incomplete Contour Representations and Shape Descriptors: ICR Test Studies.- Rotation and Scale Invariant Shape Description Using the Contour Segment Curvature.- A Study on Enhanced Dynamic Signature Verification for the Embedded System.- Spatio-temporal Attention Mechanism for More Complex Analysis to Track Multiple Objects.- Stereovision Disparity Analysis by Two-Dimensional Motion Charge Map Inspired in Neurobiology.- Image Analysis and Automatic Surface Identification by a Bi-level Multi-classifier.- Real Time Virtualized Real Object Manipulation in an Augmented Reality Environment.- Dominant Plane Detection Using Optical Flow and Independent Component Analysis.- Algorithm That Mimics Human Perceptual Grouping of Dot Patterns.- Heuristic Algorithms for Fast and Accurate Tracking of Moving Objects in Unrestricted Environments.- Single Image Estimation of Facial Albedo Maps.- Optical Flow Computation for Compound Eyes: Variational Analysis of Omni-Directional Views.- Latent Semantic Description of Iconic Scenes.- Pose-Invariant Face Recognition Using Deformation Analysis.