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Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira’s Scientific Legacy

Overview of attention for book
Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira’s Scientific…
Springer Berlin Heidelberg

Table of Contents

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    Book Overview
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    Chapter 1 A Model of Low Level Co-operativity in Cerebral Dynamic
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    Chapter 2 On Bridging the Gap between Human Knowledge and Computers: A Personal Tribute in Memory of Prof. J. Mira
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    Chapter 3 Personal Notes about the Figure and Legate of Professor Mira
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    Chapter 4 Intelligent Patient Monitoring: From Hardware to Learnware
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    Chapter 5 A Look toward the Past of My Work with the Professor José Mira
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    Chapter 6 Remembering José Mira
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    Chapter 7 Revisiting Algorithmic Lateral Inhibition and Accumulative Computation
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    Chapter 8 Detection of Speech Dynamics by Neuromorphic Units
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    Chapter 9 Spatio-temporal Computation with Neural Sensorial Maps
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    Chapter 10 Knowledge-Based Systems: A Tool for Distance Education
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    Chapter 11 ANLAGIS: Adaptive Neuron-Like Network Based on Learning Automata Theory and Granular Inference Systems with Applications to Pattern Recognition and Machine Learning
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    Chapter 12 Neural Prosthetic Interfaces with the Central Nervous System: Current Status and Future Prospects
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    Chapter 13 Analytical Models for Transient Responses in the Retina
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    Chapter 14 Analysis of Retinal Ganglion Cells Population Responses Using Information Theory and Artificial Neural Networks: Towards Functional Cell Identification
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    Chapter 15 On Cumulative Entropies and Lifetime Estimations
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    Chapter 16 Activity Modulation in Human Neuroblastoma Cultured Cells: Towards a Biological Neuroprocessor
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    Chapter 17 A Network of Coupled Pyramidal Neurons Behaves as a Coincidence Detector
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    Chapter 18 Characterisation of Multiple Patterns of Activity in Networks of Relaxation Oscillators with Inhibitory and Electrical Coupling
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    Chapter 19 Scaling Power Laws in the Restoration of Perception with Increasing Stimulus in Deficitary Natural Neural Network
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    Chapter 20 Neuron-Less Neural-Like Networks with Exponential Association Capacity at Tabula Rasa
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    Chapter 21 Brain Complexity: Analysis, Models and Limits of Understanding
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    Chapter 22 Classifying a New Descriptor Based on Marr’s Visual Theory
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    Chapter 23 Solving the Independent Set Problem by Using Tissue-Like P Systems with Cell Division
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    Chapter 24 How to Do Recombination in Evolution Strategies: An Empirical Study
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    Chapter 25 Serial Evolution
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    Chapter 26 A Sensitivity Clustering Method for Hybrid Evolutionary Algorithms
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    Chapter 27 A Genetic Algorithm for the Open Shop Problem with Uncertain Durations
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    Chapter 28 Genetic Algorithm Combined with Tabu Search for the Job Shop Scheduling Problem with Setup Times
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    Chapter 29 Prediction and Inheritance of Phenotypes
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    Chapter 30 Controlling Particle Trajectories in a Multi-swarm Approach for Dynamic Optimization Problems
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    Chapter 31 Clustering Ensembles Using Ants Algorithm
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    Chapter 32 The k NN-TD Reinforcement Learning Algorithm
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    Chapter 33 Recombination Patterns for Natural Syntax
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    Chapter 34 Computing Natural Language with Biomolecules: Overview and Challenges
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    Chapter 35 A Christiansen Grammar for Universal Splicing Systems
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    Chapter 36 DNA Replication as a Model for Computational Linguistics
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    Chapter 37 jNEPView: A Graphical Trace Viewer for the Simulations of NEPs
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    Chapter 38 The Problem of Constructing General-Purpose Semantic Search Engines
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    Chapter 39 Computational Agents to Model Knowledge - Theory, and Practice in Visual Surveillance
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    Chapter 40 Knowledge and Event-Based System for Video-Surveillance Tasks
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    Chapter 41 ARDIS: Knowledge-Based Dynamic Architecture for Real-Time Surface Visual Inspection
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    Chapter 42 SONAR: A Semantically Empowered Financial Search Engine
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    Chapter 43 KBS in Context Aware Applications: Commercial Tools
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    Chapter 44 An Architecture Proposal for Adaptive Neuropsychological Assessment
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    Chapter 45 A Study of Applying Knowledge Modelling to Evidence-Based Guidelines
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    Chapter 46 Fuzzy Classification of Mortality by Infection of Severe Burnt Patients Using Multiobjective Evolutionary Algorithms
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    Chapter 47 Knowledge Based Information Retrieval with an Adaptive Hypermedia System
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    Chapter 48 Reveal the Collaboration in a Open Learning Environment
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    Chapter 49 Reasoning on the Evaluation of Wildfires Risk Using the Receiver Operating Characteristic Curve and MODIS Images
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    Chapter 50 Optimised Particle Filter Approaches to Object Tracking in Video Sequences
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    Chapter 51 Towards Interoperability in Tracking Systems: An Ontology-Based Approach
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    Chapter 52 Multimodal Agents in Second Life and the New Agents of Virtual 3D Environments
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    Chapter 53 Application of Artificial Neural Networks to Complex Dielectric Constant Estimation from Free-Space Measurements
Attention for Chapter 19: Scaling Power Laws in the Restoration of Perception with Increasing Stimulus in Deficitary Natural Neural Network
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Chapter title
Scaling Power Laws in the Restoration of Perception with Increasing Stimulus in Deficitary Natural Neural Network
Chapter number 19
Book title
Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira’s Scientific Legacy
Published in
Lecture notes in computer science, June 2009
DOI 10.1007/978-3-642-02264-7_19
Book ISBNs
978-3-64-202263-0, 978-3-64-202264-7
Authors

Isabel Gonzalo-Fonrodona, Miguel A. Porras, Gonzalo-Fonrodona, Isabel, Porras, Miguel A.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Computer Science 1 100%

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