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Artificial Computation in Biology and Medicine

Overview of attention for book
Cover of 'Artificial Computation in Biology and Medicine'

Table of Contents

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    Book Overview
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    Chapter 1 Automated Diagnosis of Alzheimer’s Disease by Integrating Genetic Biomarkers and Tissue Density Information
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    Chapter 2 A Neural Model of Number Interval Position Effect (NIPE) in Children
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    Chapter 3 A Volumetric Radial LBP Projection of MRI Brain Images for the Diagnosis of Alzheimer’s Disease
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    Chapter 4 Telemetry System for Cochlear Implant Using ASK Modulation and FPGA
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    Chapter 5 MBMEDA: An Application of Estimation of Distribution Algorithms to the Problem of Finding Biological Motifs
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    Chapter 6 Towards a Generic Simulation Tool of Retina Models
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    Chapter 7 Specialist Neurons in Feature Extraction Are Responsible for Pattern Recognition Process in Insect Olfaction
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    Chapter 8 Intensity Normalization of 123 I-ioflupane-SPECT Brain Images Using a Model-Based Multivariate Linear Regression Approach
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    Chapter 9 Independent Component Analysis-Based Classification of Alzheimer’s Disease from Segmented MRI Data
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    Chapter 10 Trajectories-State: A New Neural Mechanism to Interpretate Cerebral Dynamics
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    Chapter 11 Global and Local Features for Char Image Classification
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    Chapter 12 On the Automatic Tuning of a Retina Model by Using a Multi-objective Optimization Genetic Algorithm
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    Chapter 13 Creating Robots with Personality: The Effect of Personality on Social Intelligence
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    Chapter 14 Artificial Metaplasticity: Application to MIT-BIH Arrhythmias Database
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    Chapter 15 Toward an Upper-Limb Neurorehabilitation Platform Based on FES-Assisted Bilateral Movement: Decoding User’s Intentionality
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    Chapter 16 Decoding of Imaginary Motor Movements of Fists Applying Spatial Filtering in a BCI Simulated Application
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    Chapter 17 The Koniocortex-Like Network: A New Biologically Plausible Unsupervised Neural Network
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    Chapter 18 Towards an Integrated Semantic Framework for Neurological Multidimensional Data Analysis
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    Chapter 19 Some Results on Dynamic Causal Modeling of Auditory Hallucinations
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    Chapter 20 Retinal DOG Filters: High-pass or High-frequency Enhancing Filters?
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    Chapter 21 Spatio-temporal Dynamics of Images with Emotional Bivalence
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    Chapter 22 Interstimulus Interval Affects Population Response in Visual Cortex in vivo
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    Chapter 23 Towards the Reconstruction of Moving Images by Populations of Retinal Ganglion Cells
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    Chapter 24 FPGA Translation of Functional Hippocampal Cultures Structures Using Cellular Neural Networks
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    Chapter 25 Parkinson’s Disease Monitoring from Phonation Biomechanics
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    Chapter 26 Retinal DOG Filters: Effects of the Discretization Process
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    Chapter 27 Computable Representation of Antimicrobial Recommendations Using Clinical Rules: A Clinical Information Systems Perspective
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    Chapter 28 Abstracting Classification Models Heterogeneity to Build Clinical Group Diagnosis Support Systems
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    Chapter 29 Using EEG Signals to Detect the Intention of Walking Initiation and Stop
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    Chapter 30 Low-cost Remote Monitoring of Biomedical Signals
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    Chapter 31 Asynchronous EEG/ERP Acquisition for EEG Teleservices
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    Chapter 32 A Machine Learning Approach to Prediction of Exacerbations of Chronic Obstructive Pulmonary Disease
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    Chapter 33 Brain-Computer Interfacing to Heuristic Search: First Results
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    Chapter 34 English Phonetics: A Learning Approach Based on EEG Feedback Analysis
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    Chapter 35 Dynamic Modelling of the Whole Heart Based on a Frequency Formulation and Implementation of Parametric Deformable Models
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    Chapter 36 Multimodal 3D Registration of Anatomic (MRI) and Functional (fMRI and PET) Intra-patient Images of the Brain
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    Chapter 37 Localisation of Pollen Grains in Digitised Real Daily Airborne Samples
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    Chapter 38 Estimation of the Arterial Diameter in Ultrasound Images of the Common Carotid Artery
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    Chapter 39 Comparison of Free Distribution Software for EEG Focal Epileptic Source Localization
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    Chapter 40 Weighted Filtering for Neural Activity Reconstruction Under Time Varying Constraints
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    Chapter 41 Neural Activity Estimation from EEG Using an Iterative Dynamic Inverse Problem Solution
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    Chapter 42 Supervised Brain Tissue Segmentation Using a Spatially Enhanced Similarity Metric
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    Chapter 43 iLU Preconditioning of the Anisotropic-Finite-Difference Based Solution for the EEG Forward Problem
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    Chapter 44 EEG Rhythm Extraction Based on Relevance Analysis and Customized Wavelet Transform
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    Chapter 45 Estimation of M/EEG Non-stationary Brain Activity Using Spatio-temporal Sparse Constraints
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    Chapter 46 Connectivity Analysis of Motor Imagery Paradigm Using Short-Time Features and Kernel Similarities
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    Chapter 47 Robust Linear Longitudinal Feedback Control of a Flapping Wing Micro Air Vehicle
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    Chapter 48 Use and Adoption of a Touch-Based Occupational Therapy Tool for People Suffering from Dementia
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    Chapter 49 Multisensory Treatment of the Hemispatial Neglect by Means of Virtual Reality and Haptic Techniques
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    Chapter 50 Evaluation of Color Preference for Emotion Regulation
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    Chapter 51 Elicitation of Emotions through Music: The Influence of Note Value
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    Chapter 52 Towards Emotionally Sensitive Conversational Interfaces for E-therapy
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    Chapter 53 Automatic Drawing Analysis of Figures Included in Neuropsychological Tests for the Assessment and Diagnosis of Mild Cognitive Impairment
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    Chapter 54 Identification of Loitering Human Behaviour in Video Surveillance Environments
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    Chapter 55 Stress Detection Using Wearable Physiological Sensors
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    Chapter 56 An Embedded Ground Change Detector for a “Smart Walker”
Attention for Chapter 33: Brain-Computer Interfacing to Heuristic Search: First Results
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  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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Chapter title
Brain-Computer Interfacing to Heuristic Search: First Results
Chapter number 33
Book title
Artificial Computation in Biology and Medicine
Published in
Lecture notes in computer science, June 2015
DOI 10.1007/978-3-319-18914-7_33
Book ISBNs
978-3-31-918913-0, 978-3-31-918914-7

Cavazza, Marc, Aranyi, Gabor, Charles, Fred, Marc Cavazza, Gabor Aranyi, Fred Charles


José Manuel Ferrández Vicente, José Ramón Álvarez-Sánchez, Félix de la Paz López, Fco. Javier Toledo-Moreo, Hojjat Adeli

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 40%
Student > Ph. D. Student 2 40%
Professor > Associate Professor 1 20%
Readers by discipline Count As %
Neuroscience 2 40%
Sports and Recreations 1 20%
Computer Science 1 20%
Unknown 1 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 May 2015.
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Altmetric has tracked 22,833,393 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 267,486 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 221 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.