Bio-inspired Modeling of Cognitive Tasks Second International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2007, La Manga del Mar Menor, Spain, June 18-21, 2007, Proceedings, Part I
| Other Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2007, 2007
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| Edition: | 1st ed. 2007 |
| Series: | Theoretical Computer Science and General Issues
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 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
- 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
- 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 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
- 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