Bio-inspired Modeling of Cognitive Tasks

Inhaltsverzeichnis

• Neural Networks and Quantum Neurology: Speculative Heuristic Towards the Architecture of Psychism.
• Physical Basis of Quantum Computation and Cryptography.
• Brain Organization and Computation.
• Concepts and Models for the Future Generation of Emotional and Intelligent Systems.
• Modeling Consciousness for Autonomous Robot Exploration.
• An Insect-Inspired Active Vision Approach for Orientation Estimation with Panoramic Images.
• Natural Interaction with a Robotic Head.
• A Network of Interneurons Coupled by Electrical Synapses Behaves as a Coincidence Detector.
• A Computational Structure for Generalized Visual Space-Time Chromatic Processing.
• Physiological Laws of Sensory Visual System in Relation to Scaling Power Laws in Biological Neural Networks.
• ANF Stochastic Low Rate Stimulation.
• Functional Identification of Retinal Ganglion Cells Based on Neural Population Responses.
• Towards a Neural-Networks Based Therapy for Limbs Spasticity.
• A Bio-inspired Architecture for Cognitive Audio.
• An Adaptable Multichannel Architecture for Cortical Stimulation.
• Spiking Neural P Systems. Power and Efficiency.
• Solving Subset Sum in Linear Time by Using Tissue P Systems with Cell Division.
• On a P? un’s Conjecture in Membrane Systems.
• A Parallel DNA Algorithm Using a Microfluidic Device to Build Scheduling Grids.
• P System Models of Bistable, Enzyme Driven Chemical Reaction Networks.
• A Novel Improvement of Neural Network Classification Using Further Division of Partition Space.
• Morphisms of ANN and the Computation of Least Fixed Points of Semantic Operators.
• Predicting Human Immunodeficiency Virus (HIV) Drug Resistance Using Recurrent Neural Networks.
• Error Weighting in Artificial Neural Networks Learning Interpreted as a Metaplasticity Model.
• A First Approach to Birth WeightPrediction Using RBFNNs.
• Filtering Documents with a Hybrid Neural Network Model.
• A Single Layer Perceptron Approach to Selective Multi-task Learning.
• Multi-task Neural Networks for Dealing with Missing Inputs.
• Theoretical Study on the Capacity of Associative Memory with Multiple Reference Points.
• Classification and Diagnosis of Heart Sounds and Murmurs Using Artificial Neural Networks.
• Requirements for Machine Lifelong Learning.
• Multitask Learning with Data Editing.
• Efficient BP Algorithms for General Feedforward Neural Networks.
• Coefficient Structure of Kernel Perceptrons and Support Vector Reduction.
• The Max-Relevance and Min-Redundancy Greedy Bayesian Network Learning Algorithm.
• On Affect and Self-adaptation: Potential Benefits of Valence-Controlled Action-Selection.
• Detecting Anomalous Traffic Using Statistical Discriminator and Neural Decisional Motor.
• A Learning Based Widrow-Hoff Delta Algorithm for Noise Reduction in Biomedical Signals.
• Hopfield Neural Network and Boltzmann Machine Applied to Hardware Resource Distribution on Chips.
• A New Rough Set Reduct Algorithm Based on Particle Swarm Optimization.
• Use of Kohonen Maps as Feature Selector for Selective Attention Brain-Computer Interfaces.
• Nature-Inspired Congestion Control: Using a Realistic Predator-Prey Model.
• EDNA: Estimation of Dependency Networks Algorithm.
• Grammar-Guided Neural Architecture Evolution.
• Evolutionary Combining of Basis Function Neural Networks for Classification.
• Non-linear Robust Identification: Application to a Thermal Process.
• Gaining Insights into Laser Pulse Shaping by Evolution Strategies.
• Simulated Evolution of the Adaptability of the Genetic Code Using Genetic Algorithms.
• GCS with Real-Valued Input.
• A Study on Genetic Algorithms for the DARP Problem.
• Optimization of the Compression Parameters of a Phonocardiographic Telediagnosis System Using Genetic Algorithms.
• An Integrated Resolution of Joint Production and Maintenance Scheduling Problem in Hybrid Flowshop.
• Improving Cutting-Stock Plans with Multi-objective Genetic Algorithms.
• Sensitivity Analysis for the Job Shop Problem with Uncertain Durations and Flexible Due Dates.
• Comparative Study of Meta-heuristics for Solving Flow Shop Scheduling Problem Under Fuzziness.
• Fusion of Neural Gas.
• Decision Making Graphical Tool for Multiobjective Optimization Problems.
• Electromagnetic Interference Reduction in Electronic Systems Cabinets by Means of Genetic Algorithms Design.
• Evolutionary Tool for the Incremental Design of Controllers for Collective Behaviors.
• A Possibilistic Approach for Mining Uncertain Temporal Relations from Diagnostic Evolution Databases.
• Temporal Abstraction of States Through Fuzzy Temporal Constraint Networks.
• Spieldose: An Interactive Genetic Software for Assisting to Music Composition Tasks.