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• Imaging and Image Analysis.- Local Wall-Motion Classification in Echocardiograms Using Shape Models and Orthomax Rotations.- A Fully 3D System for Cardiac Wall Deformation Analysis in MRI Data.- Automated Tag Tracking Using Gabor Filter Bank, Robust Point Matching, and Deformable Models.- Strain Measurement in the Left Ventricle During Systole with Deformable Image Registration.- Vessel Enhancement in 2D Angiographic Images.- Effect of Noise and Slice Profile on Strain Quantifications of Strain Encoding (SENC) MRI.- Reconstruction of Detailed Left Ventricle Motion from tMRI Using Deformable Models.- Computer Aided Reconstruction and Motion Analysis of 3D Mitral Annulus.- Volumetric Analysis of the Heart Using Echocardiography.- Constrained Reconstruction of Sparse Cardiac MR DTI Data.- An Experimental Framework to Validate 3D Models of Cardiac Electrophysiology Via Optical Imaging and MRI.- A Framework for Analyzing Confocal Images of Transversal Tubules in Cardiomyocytes.- Cardiac Electrophysiology.- Computer Simulation of Altered Sodium Channel Gating in Rabbit and HumanVentricular Myocytes.- Scroll Waves in 3D Virtual Human Atria: A Computational Study.- Determining Recovery Times from Transmembrane Action Potentials and Unipolar Electrograms in Normal Heart Tissue.- Simulations of Cardiac Electrophysiological Activities Using a Heart-Torso Model.- An Anisotropic Multi-front Fast Marching Method for Real-Time Simulation of Cardiac Electrophysiology.- Parallel Solution in Simulation of Cardiac Excitation Anisotropic Propagation.- A Three Dimensional Ventricular E-Cell (3Dv E-Cell) with Stochastic Intracellular Ca 2?+? Handling.- A Model for Simulation of Infant Cardiovascular Response to Orthostatic Stress.- Effects of Geometry and Architecture on Re-entrant Scroll Wave Dynamics in Human Virtual Ventricular Tissues.- Can We Trust the Transgenic Mouse? Insights from Computer Simulations.- Relating Discontinuous Cardiac Electrical Activity to Mesoscale Tissue Structures: Detailed Image Based Modeling.- Electro- and Magetocardiography.- Is There Any Place for Magnetocardiographic Imaging in the Era of Robotic Ablation of Cardiac Arrhythmias?.- Towards the Numerical Simulation of Electrocardiograms.- Experimental Measures of the Minimum Time Derivative of the Extracellular Potentials as an Index of Electrical Activity During Metabolic and Hypoxic Stress.- Experimental Epicardial Potential Mapping in Mouse Ventricles: Effects of Fiber Architecture.- Noninvasive Electroardiographic Imaging: Application of Hybrid Methods for Solving the Electrocardiography Inverse Problem.- Towards Noninvasive 3D Imaging of Cardiac Arrhythmias.- Forward and Inverse Solutions of Electrocardiography Problem Using an Adaptive BEM Method.- Contributions of the 12 Segments of Left Ventricular Myocardium to the Body Surface Potentials.- Numerical Analysis of the Resolution of Surface Electrocardiographic Lead Systems.- Simultaneous High-Resolution Electrical Imaging of Endocardial, Epicardial and Torso-Tank Surfaces Under Varying Cardiac Metabolic Load and Coronary Flow.- Cardiac Mechanics and Clinical Application.- Characteristic Strain Pattern of Moderately Ischemic Myocardium Investigated in a Finite Element Simulation Model.- Constitutive Modeling of Cardiac Tissue Growth.- Effect of Pacing Site and Infarct Location on Regional Mechanics and Global Hemodynamics in a Model Based Study of Heart Failure.- Effective Estimation in Cardiac Modelling.- Open-Source Environment for Interactive Finite Element Modeling of Optimal ICD Electrode Placement.- Mathematical Modeling of Electromechanical Function Disturbances and Recovery in Calcium-Overloaded Cardiomyocytes.- Locally Adapted Spatio-temporal Deformation Model for Dense Motion Estimation in Periodic Cardiac Image Sequences.- Imaging and Anatomical Modeling.- Visualisation of Dog Myocardial Structure from Diffusion Tensor Magnetic Resonance Imaging: The Paradox of Uniformity and Variability.- Statistical Comparison of Cardiac Fibre Architectures.- Extraction of the Coronary Artery Tree in Cardiac Computer Tomographic Images Using Morphological Operators.- Segmentation of Myocardial Regions in Echocardiography Using the Statistics of the Radio-Frequency Signal.- A Hyperelastic Deformable Template for Cardiac Segmentation in MRI.- Automated Segmentation of the Left Ventricle Including Papillary Muscles in Cardiac Magnetic Resonance Images.- Simulation of 3D Ultrasound with a Realistic Electro-mechanical Model of the Heart.- Automated, Accurate and Fast Segmentation of 4D Cardiac MR Images.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 4th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2007, held in Salt Lake City, UT, USA in June 2007. The contributions describe both experimental and computational studies and cover topics such as imaging and image analysis, cardiac electrophysiology, electro- and magnetocardiography, cardiac mechanics and clinical application, imaging and anatomical modeling.
(source: Nielsen Book Data)

• High Performance Implementation of an FPGA-Based Sequential DT-CNN.- HANNA: A Tool for Hardware Prototyping and Benchmarking of ANNs.- Improvement of ANNs Performance to Generate Fitting Surfaces for Analog CMOS Circuits.- Wavelet Network for Nonlinearities Reduction in Multicarrier Systems.- Improved Likelihood Ratio Test Detector Using a Jointly Gaussian Probability Distribution Function.- Performance Monitoring of Closed-Loop Controlled Systems Using dFasArt.- Normalising Brain PET Images.- Automatic Segmentation of Single and Multiple Neoplastic Hepatic Lesions in CT Images.- Biometric and Color Features Fusion for Face Detection and Tracking in Natural Video Sequences.- Identifying Major Components of Pictures by Audio Encoding of Colours.- Towards a Semi-automatic Situation Diagnosis System in Surveillance Tasks.- An Implementation of a General Purpose Attentional Mechanism for Artificial Organisms.- Optimal Cue Combination for Saliency Computation: A Comparison with Human Vision.- The Underlying Formal Model of Algorithmic Lateral Inhibition in Motion Detection.- Novel Strategies for the Optimal Registration of Biomedical Images.- Characterization of Artificial Muscles Using Image Processing.- Segmentation of Sequences of Stereoscopic Images for Modelling Artificial Muscles.- A Support Vector Method for Estimating Joint Density of Medical Images.- Segmentation of Moving Objects with Information Feedback Between Description Levels.- Knowledge-Based Road Traffic Monitoring.- Comparison of Classifiers for Human Activity Recognition.- A Multi-robot Surveillance System Simulated in Gazebo.- Context Data to Improve Association in Visual Tracking Systems.- Automatic Control of Video Surveillance Camera Sabotage.- Complex Permittivity Estimation by Bio-inspired Algorithms for Target Identification Improvement.- Context Information for Human Behavior Analysis and Prediction.- Road Sign Analysis Using Multisensory Data.- Video Tracking Association Problem Using Estimation of Distribution Algorithms in Complex Scenes.- Context Information for Understanding Forest Fire Using Evolutionary Computation.- Feed-Forward Learning: Fast Reinforcement Learning of Controllers.- An Adaptive Michigan Approach PSO for Nearest Prototype Classification.- Behavioural Modeling by Clustering Based on Utility Measures.- Two-Stage Ant Colony Optimization for Solving the Traveling Salesman Problem.- Solving Dial-a-Ride Problems with a Low-Level Hybridization of Ants and Constraint Programming.- Profitability Comparison Between Gas Turbines and Gas Engine in Biomass-Based Power Plants Using Binary Particle Swarm Optimization.- Combining the Best of the Two Worlds: Inheritance Versus Experience.- Towards the Automatic Learning of Reflex Modulation for Mobile Robot Navigation.- Evolving Robot Behaviour at Micro (Molecular) and Macro (Molar) Action Level.- Discretization of ISO-Learning and ICO-Learning to Be Included into Reactive Neural Networks for a Robotics Simulator.- Towards Automatic Camera Calibration Under Changing Lighting Conditions Through Fuzzy Rules.- Social Interaction in Robotic Agents Emulating the Mirror Neuron Function.- Integration of Stereoscopic and Perspective Cues for Slant Estimation in Natural and Artificial Systems.- An Approach to Visual Scenes Matching with Curvilinear Regions.- Supervised dFasArt: A Neuro-fuzzy Dynamic Architecture for Maneuver Detection in Road Vehicle Collision Avoidance Support Systems.- Neuro-fuzzy Based Maneuver Detection for Collision Avoidance in Road Vehicles.- The Coevolution of Robot Behavior and Central Action Selection.- WiSARD and NSP for Robot Global Localization.- Design and Implementation of an Adaptive Neuro-controller for Trajectory Tracking of Nonholonomic Wheeled Mobile Robots.- Sharing Gaze Control in a Robotic System.- An AER-Based Actuator Interface for Controlling an Anthropomorphic Robotic Hand.- Tackling the Error Correcting Code Problem Via the Cooperation of Local-Search-Based Agents.- Strategies for Affect-Controlled Action-Selection in Soar-RL.- An Agent-Based Decision Support System for Ecological-Medical Situation Analysis.- A Meta-ontological Framework for Multi-agent Systems Design.- Design of an Agent-Based System for Passenger Transportation Using PASSI.- The INGENIAS Methodology for Advanced Surveillance Systems Modelling.- Propos: A Dynamic Web Tool for Managing Possibilistic and Probabilistic Temporal Constraint Networks.- BIRD: Biomedical Information Integration and Discovery with Semantic Web Services.- Neural Networks to Predict Schooling Failure/Success.- Application of Genetic Algorithms for Microwave Oven Design: Power Efficiency Optimization.- Application of Neural Networks to Atmospheric Pollutants Remote Sensing.- Air Pollutant Level Estimation Applying a Self-organizing Neural Network.- Application of Genetic Algorithms in the Determination of Dielectric Properties of Materials at Microwave Frequencies.- Putting Artificial Intelligence Techniques into a Concept Map to Build Educational Tools.- A Preliminary Neural Model for Movement Direction Recognition Based on Biologically Plausible Plasticity Rules.- Classification of Biomedical Signals Using a Haar 4 Wavelet Transform and a Hamming Neural Network.
• (source: Nielsen Book Data)

The second of a two-volume set, this book constitutes the refereed proceedings of the Second International Work-Conference on the Interplay between Natural and Artificial Computation, IWINAC 2007, held in La Manga del Mar Menor, Spain in June 2007. It contains all the contributions connected with biologically inspired methods and techniques for solving AI and knowledge engineering problems in different application domains.
(source: Nielsen Book Data)

• Evolutionary Computation.- Cultural Operators for a Quantum-Inspired Evolutionary Algorithm Applied to Numerical Optimization Problems.- New Codification Schemas for Scheduling with Genetic Algorithms.- Solving the Multidimensional Knapsack Problem Using an Evolutionary Algorithm Hybridized with Branch and Bound.- Cryptanalysis of Substitution Ciphers Using Scatter Search.- Combining Metaheuristics and Exact Algorithms in Combinatorial Optimization: A Survey and Classification.- Convergence Analysis of a GA-ICA Algorithm.- An Evolutionary Strategy for the Multidimensional 0-1 Knapsack Problem Based on Genetic Computation of Surrogate Multipliers.- An Evolutionary Approach to Designing and Solving Fuzzy Job-Shop Problems.- Memetic Algorithms with Partial Lamarckism for the Shortest Common Supersequence Problem.- 2D and 3D Pictural Networks of Evolutionary Processors.- Analysing Sentences with Networks of Evolutionary Processors.- Simulating Evolutionary Algorithms with Eco-grammar Systems.- Timed Accepting Hybrid Networks of Evolutionary Processors.- A New Immunotronic Approach to Hardware Fault Detection Using Symbiotic Evolution.- A Basic Approach to Reduce the Complexity of a Self-generated Fuzzy Rule-Table for Function Approximation by Use of Symbolic Regression in 1D and 2D Cases.- Parallel Evolutionary Computation: Application of an EA to Controller Design.- MEPIDS: Multi-Expression Programming for Intrusion Detection System.- A Study of Heuristic Techniques Inspired in Natural Process for the Solution of the Container Fill Problem.- Attribute Grammar Evolution.- Evolution and Evaluation in Knowledge Fusion System.- The Allele Meta-model - Developing a Common Language for Genetic Algorithms.- Using Bees to Solve a Data-Mining Problem Expressed as a Max-Sat One.- A Comparison of GA and PSO for Excess Return Evaluation in Stock Markets.- Nonlinear Robust Identification Using Multiobjective Evolutionary Algorithms.- Genetic Algorithms for Multiobjective Controller Design.- Grammar Based Crossover Operator in Genetic Programming.- GA-Selection Revisited from an ES-Driven Point of View.- Agent WiSARD in a 3D World.- One Generalization of the Naive Bayes to Fuzzy Sets and the Design of the Fuzzy Naive Bayes Classifier.- Towards a Methodology to Search for Near-Optimal Representations in Classification Problems.- Playing a Toy-Grammar with GCS.- A Genetic Approach to Data Dimensionality Reduction Using a Special Initial Population.- Engineering Optimizations via Nature-Inspired Virtual Bee Algorithms.- Solving Partitioning Problem in Codesign with Ant Colonies.- Electronics and Robotics.- A Neuromimetic Integrated Circuit for Interactive Real-Time Simulation.- A FPGA Architecture of Blind Source Separation and Real Time Implementation.- Description and Simulation of Bio-inspired Systems Using VHDL-AMS.- Transistor-Level Circuit Experiments Using Evolvable Hardware.- An Electronic Reconfigurable Neural Architecture for Intrusion Detection.- Construction and VHDL Implementation of a Fully Local Network with Good Reconstruction Properties of the Inputs.- Reconfigurable Hardware Implementation of Neural Networks for Humanoid Locomotion.- An Associative Cortical Model of Language Understanding and Action Planning.- Neural Clustering Analysis of Macroevolutionary and Genetic Algorithms in the Evolution of Robot Controllers.- Induced Behavior in a Real Agent Using the Multilevel Darwinist Brain.- Landscaping Model for Virtual Environment.- Other Applications.- Sensitivity from Short-Term Memory vs. Stability from Long-Term Memory in Visual Attention Method.- Visual Attention, Visual Saliency, and Eye Movements During the Inspection of Natural Scenes.- Model Performance for Visual Attention in Real 3D Color Scenes.- On the Evolution of Formal Models and Artificial Neural Architectures for Visual Motion Detection.- Estimation of Fuel Moisture Content Using Neural Networks.- Adjustment of Surveillance Video Systems by a Performance Evaluation Function.- Application of Machine Learning Techniques for Simplifying the Association Problem in a Video Surveillance System.- A Neurocalibration Model for Autonomous Vehicle Navigation.- Some Remarks on the Application of Artificial Neural Networks to Optical Character Recognition.- Using Fuzzy Clustering Technique for Function Approximation to Approximate ECG Signals.- Information Retrieval and Classification with Wavelets and Support Vector Machines.- A New Approach to Clustering and Object Detection with Independent Component Analysis.- Bispectra Analysis-Based VAD for Robust Speech Recognition.- On-line Training of Neural Networks: A Sliding Window Approach for the Levenberg-Marquardt Algorithm.- Boosting Parallel Perceptrons for Label Noise Reduction in Classification Problems.- On the Connection Between the Human Visual System and Independent Component Analysis.- Image Classifier for the TJ-II Thomson Scattering Diagnostic: Evaluation with a Feed Forward Neural Network.- Computerized Adaptive Tests and Item Response Theory on a Distance Education Platform.- Stochastic Vs Deterministic Traffic Simulator. Comparative Study for Its Use Within a Traffic Light Cycles Optimization Architecture.
• (source: Nielsen Book Data)

The computational paradigm considered here is a conceptual, theoretical and formal framework situated above machines and living creatures (two instant- tions), su?ciently solid, and still non-exclusive, that allows us: 1. tohelpneuroscientiststoformulateintentions, questions, experiments, me- ods and explanation mechanisms assuming that neural circuits are the p- chological support of calculus; 2. to help scientists and engineers from the ?elds of arti?cial intelligence (AI) and knowledge engineering (KE) to model, formalize and program the c- putable part of human knowledge; 3. to establish an interaction framework between natural system computation (NSC) and arti?cial system computation (ASC) in both directions, from ASC to NSC (in computational neuroscience), and from NSC to ASC (in bioinspired computation). With these global purposes, we organized IWINAC 2005, the 1st International Work Conference on the Interplay Between Natural and Arti?cial Computation, whichtookplaceinLasPalmasdeGranCanaria, CanaryIslands(Spain), during June 15-18, 2005, trying to contribute to both directions of the interplay: I: From Arti?cial to Natural Computation. What can computation, arti?cial intelligence (AI) and knowledge engineering (KE) contribute to the und- standing of the nervous system, cognitive processes and social behavior? This is the scope of computational neuroscience and cognition, which uses the computational paradigm to model and improve our understanding of natural science.
(source: Nielsen Book Data)

This book constitutes the refereed proceedings of the First International Symposium on Brain, Vision and Artificial Intelligence, BVAI 2005, held in Naples, Italy in October 2005. The 48 revised papers presented together with 6 invited lectures were carefully reviewed and selected from more than 80 submissions for inclusion in the book. The papers are addressed to the following main topics and sub-topics: brain basics - neuroanatomy and physiology, development, plasticity and learning, synaptic, neuronic and neural network modeling; natural vision - visual neurosciences, mechanisms and model systems, visual perception, visual cognition; artificial vision - shape perception, shape analysis and recognition, shape understanding; and, artificial intelligence - hybrid intelligent systems, agents, and cognitive models.
(source: Nielsen Book Data)

This book constitutes the refereed proceedings of the Third International Workshop on Functional Imaging and Modeling of the Heart, FIMH 2005, held in Barcelona, Spain in June 2005. The 47 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on modeling of the heart: anatomy extraction and description; electro-physiology and electro- and magnetography; modeling of the cardiac mechanisms and functions; and cardiac motion estimation.
(source: Nielsen Book Data)

• Computational Neuroscience.- On the Use of the Computational Paradigm in Neurophysiology and Cognitive Science.- Modules, Layers, Hierarchies, and Loops Where Artificial Intelligence Meets Ethology and Neuroscience - In Context of Action Selection.- A Unified Perspective on Explaining Dynamics by Anticipatory State Properties.- A Novel Intrinsic Wave Phenomenon in Low Excitable Biological Media.- Conceptual Idea of Natural Mechanisms of Recognition, Purposeful Thinking and Potential of Its Technical Application.- Simulation of Orientation Contrast Sensitive Cell Behavior in TiViPE.- Formulation and Validation of a Method for Classifying Neurons from Multielectrode Recordings.- Gap-Junctions Promote Synchrony in a Network of Inhibitory Interneurons in the Presence of Heterogeneities and Noise.- A Conceptual Model of Amphibian's Tectum Opticum with Probabilistic Coded Outputs.- Realistic Stimulation Through Advanced Dynamic-Clamp Protocols.- Interacting Slow and Fast Dynamics in Precise Spiking-Bursting Neurons.- An Integral Model of Spreading Depression: From Neuron Channels to Field Potentials.- Separation of Extracellular Spikes: When Wavelet Based Methods Outperform the Principle Component Analysis.- Structural Statistical Properties of the Connectivity Could Underlie the Difference in Activity Propagation Velocities in Visual and Olfactory Cortices.- Rules and Roles of Dendritic Spikes in CA1 Pyramidal Cells: A Computational Study.- Slow Conductances Encode Stimulus History into Spike Shapes.- Comparison of Plasticity of Self-optimizing Neural Networks and Natural Neural Networks.- Evaluation of Neuronal Firing Densities via Simulation of a Jump-Diffusion Process.- Gaussian Processes and Neuronal Modeling.- On the Moments of Firing Numbers in Diffusion Neuronal Models with Refractoriness.- Fluctuation Dynamics in Electroencephalogram Time Series.- Modelling of Dysfunctions in the Neuronal Control of the Lower Urinary Tract.- Coding Strategies in Early Stages of the Somatosensory System.- Auditory Nerve Encoding of High-Frequency Spectral Information.- Multielectrode Analysis of Information Flow Through Cat Primary Visual Cortex.- Bioinspired Computation.- Towards Evolutionary DNA Computing.- A Linear Solution of Subset Sum Problem by Using Membrane Creation.- A Study of the Robustness of the EGFR Signalling Cascade Using Continuous Membrane Systems.- A Tool for Implementing and Exploring SBM Models: Universal 1D Invertible Cellular Automata.- Network of Evolutionary Processors with Splicing Rules.- Network of Evolutionary Processors with Splicing Rules and Forbidding Context.- A Multiplexed Current Source Portable Stimulator Architecture for a Visual Cortical Neuroprosthesis.- An Augmented Reality Visual Prothesis for People Affected by Tunneling Vision.- Eye Tracking in Coloured Image Scenes Represented by Ambisonic Fields of Musical Instrument Sounds.- Tasks Modelling at the Knowledge Level.- Avoidance Behavior Controlled by a Model of Vertebrate Midbrain Mechanisms.- Transition Cells and Neural Fields for Navigation and Planning.- Spatial Navigation Based on Novelty Mediated Autobiographical Memory.- Vision and Grasping: Humans vs. Robots.- Evolved Neural Reflex-Oscillators for Walking Machines.- A Haptic System for the Lucs Haptic Hand I.- Action-Based Cognition: How Robots with No Sensory System Orient Themselves in an Open Field Box.- A Robotics Inspired Method of Modeling Accessible Open Space to Help Blind People in the Orientation and Traveling Tasks.- A Scientific Point of View on Perceptions.- Reasoning by Assumption: Formalisation and Analysis of Human Reasoning Traces.- Aligning Reference Terminologies and Knowledge Bases in the Health Care Domain.- Predicting Mortality in the Intensive Care Using Episodes.- A Fuzzy Temporal Diagnosis Algorithm and a Hypothesis Discrimination Proposal.- Spatial Reasoning Based on Rules.- Key Aspects of the Diagen Conceptual Model for Medical Diagnosis.- Connectionist Contribution to Building Real-World Ontologies.- Self Assembling Graphs.- Knowledge Modeling for the Traffic Sign Recognition Task.- Interval-Valued Neural Multi-adjoint Logic Programs.
• (source: Nielsen Book Data)

The computational paradigm considered here is a conceptual, theoretical and formal framework situated above machines and living creatures (two instant- tions), su?ciently solid, and still non-exclusive, that allows us: 1. tohelpneuroscientiststoformulateintentions, questions, experiments, me- ods and explanation mechanisms assuming that neural circuits are the p- chological support of calculus; 2. to help scientists and engineers from the ?elds of arti?cial intelligence (AI) and knowledge engineering (KE) to model, formalize and program the c- putable part of human knowledge; 3. to establish an interaction framework between natural system computation (NSC) and arti?cial system computation (ASC) in both directions, from ASC to NSC (in computational neuroscience), and from NSC to ASC (in bioinspired computation). With these global purposes, we organized IWINAC 2005, the 1st International Work Conference on the Interplay Between Natural and Arti?cial Computation, whichtookplaceinLasPalmasdeGranCanaria, CanaryIslands(Spain), during June 15-18, 2005, trying to contribute to both directions of the interplay: I: From Arti?cial to Natural Computation. What can computation, arti?cial intelligence (AI) and knowledge engineering (KE) contribute to the und- standing of the nervous system, cognitive processes and social behavior? This is the scope of computational neuroscience and cognition, which uses the computational paradigm to model and improve our understanding of natural science.
(source: Nielsen Book Data)

This book constitutes the refereed proceedings of the Second International Workshop on Functional Imaging and Modeling of the Heart, FIMH 2003, held in Lyon, France, in June 2003. The 29 revised full papers presented together with 2 invited papers were carefully reviewed and selected for presentation. The papers are organized in topical sections on anatomy extraction and description, modeling of the cardiac mechanics and functions, electro-physiology and electro- and magnetography, motion estimation, image registration and image analysis, and data acquisition and experimental and modeling issues.
(source: Nielsen Book Data)

This book constitutes the refereed proceedings of the Second International Workshop on Biologically Motivated Computer Vision, BMCV 2002, held in Tubingen, Germany, in November 2002. The 22 revised full papers and 37 revised short papers presented together with 6 invited papers were carefully reviewed and selected from 97 submissions. The papers are organized in topical sections on neurons and features, motion, mid-level vision, recognition - from scenes to neurons, attention, robotics, and cognitive vision.
(source: Nielsen Book Data)

This book constitutes the refereed proceedings of the First International Workshop on Functional Imaging and Modeling of the Heart, FIMH 2001, held in Helsinki, Finland, in November 2001. The 17 revised full papers presented together with four invited papers were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on anatomical modeling, motion and deformation, functional imaging, and towards electromechanical modeling.
(source: Nielsen Book Data)

This book constitutes the refereed proceedings of the First IEEE/CS International Workshops on Biologically Motivated Computer Vision, BMCV 2000, held in Seoul Korea in May 2000. The 56 revised papers presented together with eight invited papers were carefully reviewed and selected from 90 full paper submissions. The book is divided in topical sections on segmentation, detection, and object recognition; computational models; active and attentive vision; ICA and space-variant imaging; and neural networks and applications.
(source: Nielsen Book Data)

This book is devoted to computer-based modeling in cardiology, by taking an educational point of view, and by summarizing knowledge from several, commonly considered delimited areas of cardiac research in a consistent way.First, the foundations and numerical techniques from mathematics are provided, with a particular focus on the finite element and finite differences methods. Then, the theory of electric fields and continuum mechanics is introduced with respect to numerical calculations in anisotropic biological media. In addition to the presentation of digital image processing techniques, the following chapters deal with particular aspects of cardiac modeling: cardiac anatomy, cardiac electro physiology, cardiac mechanics, modeling of cardiac electro mechanics.This book was written for researchers in modeling and cardiology, for clinical cardiologists, and for advanced students.
(source: Nielsen Book Data)

This book presents thoroughly revised tutorial papers based on lectures given by leading researchers at the 8th International Summer School on Neural Networks in Erice, Italy, in October/November 2003. The eight tutorial papers presented provide competent coverage of the field of cortical dynamics, consolidating recent theoretical and experimental results on the processing, transmission, and imprinting of information in the brain as well as on important functions of the cortical area, such as cortical rhythms, cortical neural plasticity, and their structural basis and functional significance. The book is divided in two topical sections on fundamentals of cortical dynamics and mathematical models of cortical dynamics.
(source: Nielsen Book Data)

• pt. I. Bio-inspired modeling of cognitive tasks
• pt. 2. Nature inspired problem-solving methods in knowledge engineering.

The Semantic Gap ThereisasetofrecurrentproblemsinAIandneurosciencewhichhaverestri cted their progress from the foundation times of cybernetics and bionics.
These pr- lems have to do with the enormous semantic leap that exists between the ont- ogy of physical signals and that of meanings.
Between physiologyand cognition.
Between natural languageand computer hardware.
We encounter this gap when we want to formulate computationally the cognitive processes associated with reasoning, planning andthe controlofactionand, infact, allthe phenomenology associated with thought and language.
All "bio-inspired" and "interplay" movement between the natural and ar-?cial, into which our workshop (IWINAC)?ts, faces this same problem every two years
We know how to model and reproduce those biological processes that areassociatedwith measurablephysicalmagnitudes and, consequently, we know howto designandbuild robotsthatimitate the correspondingbehaviors. Onthe other hand, we have enormous di?culties in understanding, modeling, formal- ing and implementing all the phenomenology associatedwith the cognition?eld.
We do not know the language of thought.
We mask our ignorance of conscience with the term emergentism.

• pt. I. Mechanisms, symbols, and models underlying cognition
• pt. II. Artificial intelligence and knowledge engineering applications : a bioinspired approach.

The revised lectures presented in this volume are based on a course given by leading scholars at the C. I. M. E. Summer School held in Martina Franca, Italy, in July 2000. The 11 revised chapters presented were carefully revised and cross-reviewed in order to provide competent coverage of mathematical methods for protein structure analysis and design. The topics addressed pinpoint major issues arising in the development and analysis of models, algorithms, and software tools devoted to the structure of proteins, all of which play crucial roles in structural genomics and proteomics.
(source: Nielsen Book Data)

• Motion analysis in clinical practice using ambulatory accelerometry / K. Aminian ... [et al.]
• A robust human-silhouette extraction technique for interactive virtual environments / J.W. Davis and A.F. Bobick
• Local and global skeleton fitting techniques for optical motion capture / M.-C. Silaghi ... [et al.]
• 3D part recognition method for human motion analysis / C. Yániz, J. Rocha, and F. Perales
• Motion capture data manipulation and reuse via B-splines / S. Sudarsky and D. House
• Motion abstraction and mapping with spatial constraints / R. Bindiganavale and N.I. Badler --Artificial neural networks for motion emulation in virtual environments / Y. Bellan ... [et al.]
• Synthesis of human motion using Kalman filter / C. Sul, S. Jung, and K. Wohn
• Real-time hand and head tracking for virtual environments using infrared beacons / K. Dorfmüller and H. Wirth
• A graphics compiler for a 3-dimensional captured image database and captured image reusability / T.L. Kunii, Y. Saito, and M. Shiine
• VideoVR : a real-time system for automatically constructing panoramic images from video clips / D.-Y. Chen, M.C-C. Ho, and M. Ouhyoung
• The video yardstick / T. Brodsky, C. Fermüller, and Y. Aloimonos
• Real-Time inverse kinematics through constrained dynamics / W. Tang ... [et al.]
• Goal-directed navigation for animated characters using real-time path planning and control / J.J. Kuffner
• Real-time requirements for the implementation of speech-controlled artificial actors / M. Cavazza, I. Palmer, and S. Parnell
• 3D modeling from captured images using bi-directional ray traversal method / H. Zaima and T. Yamamoto
• Face models from uncalibrated video sequences / P. Fua
• A 3D reconstruction system for human body modeling / J. Gu ... [et al.] --Bézier volume deformation model for facial animation and video tracking / H. Tao and T.S. Huang
• Head modeling from pictures and morphing in 3D with image metamorphosis based on triangulation / W.-S. Lee and N. Magnenat-Thalmann
• Facial animation by synthesis of captured and artificial data / Z. Ruttkay ... [et al.].

This book constitutes the refereed proceedings of the International Workshop on Modelling and Motion Capture Techniques for Virtual Environments, CAPTECH'98, held in Geneva, Switzerland, in November 1998. The 21 revised full papers presented in the book were carefully reviewed and selected for inclusion in the book. The book documents research in data capture and interpretation. The papers are organized in sections on human motion analysis, human motion capture and manipulation, image and video manipulation, motion control, human body and objects 3D reconstruction, and image/video based facial animation.
(source: Nielsen Book Data)