Brain, Vision, and Artificial Intelligence

Inhaltsverzeichnis

• 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 PhotosensitiveOpsin–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 RealityEnvironment.
• 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.