Advances in Brain, Vision, and Artificial Intelligence

Inhaltsverzeichnis

• Basic Models in Visual Sciences.
• Physiology of Simple Photoreceptors in the Abdominal Ganglion of Onchidium.
• Diffuse Nerve Net of Hydra Revealed by NADPH-Diaphorase Histochemical Labeling.
• On Global Geometry of Image on Eye’s Back.
• Cortical Mechanism of Vision.
• Independent Encoding of Position and Orientation by Population Responses in Primary Visual Cortex.
• A Neural Model for Attentional Modulation of Lateral Interactions in the Visual Cortex.
• Testing Viewpoint Invariance in the Neural Representation of Faces: An MEG Study.
• Modeling Visual Information Processing in Brain: A Computer Vision Point of View and Approach.
• Color Processing in Natural Vision.
• Higher Order Color Mechanisms for Image Segmentation.
• How Does the Brain Arrive at a Color Constant Descriptor?.
• Temporal Characteristics of Artificial Retina Based on Bacteriorhodopsin and Its Variants.
• Action Oriented Vision.
• Vision and Action in the Language-Ready Brain: From Mirror Neurons to SemRep.
• A Neural Network Model for a View Independent Extraction of Reach-to-Grasp Action Features.
• Neuromimetic Indicators for Visual Perception of Motion.
• Reversal of “Cubic” and “Cylindric” Figures.
• Visual Recognition and Attentive Modulation.
• Different Binding Strategies for the Different Stages of Visual Recognition.
• The Bayesian Draughtsman: A Model for Visuomotor Coordination in Drawing.
• Independent Component Analysis of Layer Optical Flow and Its Application.
• A Self-organizing Approach to Detection of Moving Patterns for Real-Time Applications.
• Biometric Recognition.
• Recognition of Human Faces: From Biological to Artificial Vision.
• Incremental Subspace Learning for Cognitive Visual Processes.
• Real–Time Robot Manipulation Using Mouth Gestures in Facial Video Sequences.
• ImageSegmentation and Recognition.
• A Variational Bayes Approach to Image Segmentation.
• Watershed Segmentation Via Case-Based Reasoning.
• Digital Removal of Blotches with Variable Semi-transparency Using Visibility Laws.
• Classification with Positive and Negative Equivalence Constraints: Theory, Computation and Human Experiments.
• A Graph-Based Clustering Method and Its Applications.
• Neural Object Recognition by Hierarchical Learning and Extraction of Essential Shapes.
• Disparity Calculation and Noise Analysis.
• Increasing Efficiency in Disparity Calculation.
• Patterns of Binocular Disparity for a Fixating Observer.
• 3D Reconstruction and Mapping from Stereo Pairs with Geometrical Rectification.
• Noise Analysis for Depth Estimation.
• Signal Identification in Neural Models.
• Stimulus-Response Curves in Sensory Neurons: How to Find the Stimulus Measurable with the Highest Precision.
• Molecular Mechanism of Glutamate-Triggered Brain Glucose Metabolism: A Parametric Model from FDG PET-Scans.
• Steady-State Properties of Coding of Odor Intensity in Olfactory Sensory Neurons.
• Input Identification in the Ornstein-Uhlenbeck Neuronal Model with Signal Dependent Noise.
• Numerical Results on the Hodgkin-Huxley Neural Network: Spikes Annihilation.
• Excitatory Synaptic Interaction on the Dendritic Tree.
• Ghost Stochastic Resonance for a Neuron with a Pair of Periodic Inputs.
• Coincidence Detector Properties of Small Networks of Interneurons.
• Computing the Maximum Using Presynaptic Inhibition with Glutamate Receptors.
• Bounds of the Ability to Destroy Precise Coincidences by Spike Dithering.
• Natural and Artificial Representation Issues in Artificial Intelligence.
• Non-invasive Brain-Actuated Interaction.
• Decomposition Approach to Solve Dial-a-Ride Problems Using Ant Computing andConstraint Programming.
• Logic as Energy: A SAT-Based Approach.
• Towards a Formal Approach to Generative Design: An Assistant System for the Creation of Artefact Models.
• Using Software Agent Negotiation for Service Selection.
• A Genetic Algorithm for the Quadratic Multiple Knapsack Problem.
• The Application of Neural Networks in Classification of Epilepsy Using EEG Signals.
• Meaning, Interaction and Emotion.
• Moving Creative Words.
• Applying Neural Networks to Knowledge Representation and Determination of Its Meaning.
• New Frameworks to Boost Feature Selection Algorithms in Emotion Detection for Improved Human-Computer Interaction.
• The Significance of Empty Speech Pauses: Cognitive and Algorithmic Issues.
• Human Robot Interactions: Towards the Implementation of Adaptive Strategies for Robust Communication.
• Robot Navigation and Control.
• A Neurosymbolic Hybrid Approach for Landmark Recognition and Robot Localization.
• A Robotic Architecture with Innate Releasing Mechanism.
• An Application of Vision Systems to the Path Planning of Industrial Robots.
• Tracking Trajectories with a Robotic Manipulator with Singularities.
• Motion Planning for Wheeled Mobile Robots Based on Singularity Criteria.