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
