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Natural and Artificial Models in Computation and Biology

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Cover of 'Natural and Artificial Models in Computation and Biology'

Table of Contents

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    Book Overview
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    Chapter 1 A Neural Network Simulation of Spreading Depression
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    Chapter 2 Robustness of Artificial Metaplasticity Learning to Erroneous Input Distribution Assumptions
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    Chapter 3 Neuron Threshold Variability in an Olfactory Model Improves Odorant Discrimination
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    Chapter 4 Contrast Enhancement Mechanisms in the Retinothalamic Circuitry
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    Chapter 5 Neural Spike Activation in Hippocampal Cultures Using Hebbian Electrical Stimulation
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    Chapter 6 Thalamo-Cortical Network and Seizure Dynamics: A Computational Study
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    Chapter 7 Modelling Prior and Retrospective Awareness of Actions
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    Chapter 8 Emotional Stress Detection in Contradictory versus Self-consistent Speech by Means of Voice Biometrical Signature
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    Chapter 9 Vision Substitution Experiments with See ColOr
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    Chapter 10 Robot Cognitive Stimulation for the Elderly
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    Chapter 11 The Intelligent Room for Elderly Care
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    Chapter 12 A Method for Estimating Patient Specific Parameters for Simulation of Tissue Deformation by Finite Element Analysis
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    Chapter 13 REEM Service Robot: How May I Help You?
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    Chapter 14 Training Study Approaches for a SVM-Based BCI: Adaptation to the Model vs Adaptation to the User
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    Chapter 15 Evaluation of a Telepresence Robot for the Elderly: A Spanish Experience
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    Chapter 16 Empirical Analysis of the Integration of a BCI and an EOG Interface to Control a Robot Arm
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    Chapter 17 Interplay between Natural and Artificial Intelligence in Training Autistic Children with Robots
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    Chapter 18 Use of Multilayer Perceptron vs. Distance Measurement Methods for Classification of Exercises in Telerehabilitation
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    Chapter 19 Application of Artificial Metaplasticity Neural Networks to Cardiac Arrhythmias Classification
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    Chapter 20 SBRS: Bridging the Gap between Biomedical Research and Clinical Practice
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    Chapter 21 Perceptual Analysis of Speech Signals from People with Parkinson’s Disease
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    Chapter 22 Characterization of Speech from Amyotrophic Lateral Sclerosis by Neuromorphic Processing
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    Chapter 23 Fast Approximate Inference in Hybrid Bayesian Networks Using Dynamic Discretisation
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    Chapter 24 An Influence Diagram for the Collaboration in E-learning Environments
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    Chapter 25 A Bayesian Model for Lexical Availability of Chilean High School Students in Mathematics
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    Chapter 26 Heart Sound Segmentation in Noisy Environments
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    Chapter 27 Kernel Spectral Clustering for Motion Tracking: A First Approach
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    Chapter 28 Multi-labeler Analysis for Bi-class Problems Based on Soft-Margin Support Vector Machines
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    Chapter 29 New Cues in Low-Frequency of Speech for Automatic Detection of Parkinson’s Disease
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    Chapter 30 Computer-Aided Detection of Microcalcifications in Digital Mammograms to Support Early Diagnosis of Breast Cancer
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    Chapter 31 Influence of Interactions between Virtual Channels in Cochlear Implants
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    Chapter 32 Dealing with Bullying through Genetic Algorithms
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    Chapter 33 Using Ant Colony Optimization for Edge Detection in Gray Scale Images
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    Chapter 34 Modeling the Effect of Fixational Eye Movements in Natural Scenes
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    Chapter 35 A Novel Approach for Quantitative Analysis of 3D Phosphenes
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    Chapter 36 Inverse Allometry: Foundations for a Bioinspired LVH-Prediction Model
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    Chapter 37 Cochlear Implant: Transcutaneous Transmission Link with OFDM
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    Chapter 38 Deficitary Nervous Excitability and Subjective Contraction of Time: Time-Dispersive Model
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    Chapter 39 Hybrid Tabu Search for Fuzzy Job Shop
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    Chapter 40 Statistical Characteristics of Portal Images and Their Influence in Noise Reduction
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    Chapter 41 Self Organized Biogeography Algorithm for Clustering
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    Chapter 42 Automatic Orientation of Functional Brain Images for Multiplataform Software
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    Chapter 43 Solving Number Series with Simple Recurrent Networks
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    Chapter 44 Detection Method for Phase Synchronization in a Population of Spiking Neurons
Attention for Chapter 16: Empirical Analysis of the Integration of a BCI and an EOG Interface to Control a Robot Arm
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Chapter title
Empirical Analysis of the Integration of a BCI and an EOG Interface to Control a Robot Arm
Chapter number 16
Book title
Natural and Artificial Models in Computation and Biology
Published by
Springer, Berlin, Heidelberg, June 2013
DOI 10.1007/978-3-642-38637-4_16
Book ISBNs
978-3-64-238636-7, 978-3-64-238637-4

Eduardo Iáñez, Andrés Úbeda, Enrique Hortal, José María Azorín, Eduardo Fernández

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 1 8%
Unknown 12 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 38%
Student > Ph. D. Student 3 23%
Lecturer 2 15%
Other 1 8%
Student > Master 1 8%
Other 1 8%
Readers by discipline Count As %
Engineering 6 46%
Computer Science 5 38%
Medicine and Dentistry 1 8%
Business, Management and Accounting 1 8%