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Brain Informatics

Overview of attention for book
Cover of 'Brain Informatics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Fractionating the Rational Brain
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    Chapter 2 Cognitive Informatics and Denotational Mathematical Means for Brain Informatics
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    Chapter 3 An Adaptive Model for Dynamics of Desiring and Feeling Based on Hebbian Learning
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    Chapter 4 Modelling the Emergence of Group Decisions Based on Mirroring and Somatic Marking
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    Chapter 5 Rank-Score Characteristics (RSC) Function and Cognitive Diversity
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    Chapter 6 Cognitive Effort for Multi-agent Systems
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    Chapter 7 Behavioural Abstraction of Agent Models Addressing Mutual Interaction of Cognitive and Affective Processes
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    Chapter 8 The Effect of the Normalization Strategy on Voxel-Based Analysis of DTI Images: A Pattern Recognition Based Assessment
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    Chapter 9 Single Trial Classification of EEG and Peripheral Physiological Signals for Recognition of Emotions Induced by Music Videos
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    Chapter 10 Brain Signal Recognition and Conversion towards Symbiosis with Ambulatory Humanoids
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    Chapter 11 Feature Rating by Random Subspaces for Functional Brain Mapping
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    Chapter 12 Recurrence Plots for Identifying Memory Components in Single-Trial EEGs
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    Chapter 13 Comparing EEG/ERP-Like and fMRI-Like Techniques for Reading Machine Thoughts
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    Chapter 14 Improving Individual Identification in Security Check with an EEG Based Biometric Solution
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    Chapter 15 Segmentation of 3D Brain Structures Using the Bayesian Generalized Fast Marching Method
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    Chapter 16 Domain-Specific Modeling as a Pragmatic Approach to Neuronal Model Descriptions
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    Chapter 17 Guessing What’s on Your Mind: Using the N400 in Brain Computer Interfaces
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    Chapter 18 A Brain Data Integration Model Based on Multiple Ontology and Semantic Similarity
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    Chapter 19 How Does Repetition of Signals Increase Precision of Numerical Judgment?
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    Chapter 20 Sparse Regression Models of Pain Perception
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    Chapter 21 A Study of Mozart Effect on Arousal, Mood, and Attentional Blink
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    Chapter 22 Attentional Disengage from Test-Related Pictures in Test-Anxious Students: Evidence from Event-Related Potentials
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    Chapter 23 Concept Learning in Text Comprehension
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    Chapter 24 A Qualitative Approach of Learning in Parkinson’s Disease
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    Chapter 25 Modelling Caregiving Interactions during Stress
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    Chapter 26 Computational Modeling and Analysis of Therapeutical Interventions for Depression
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    Chapter 27 A Time Series Based Method for Analyzing and Predicting Personalized Medical Data
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    Chapter 28 Language Analytics for Assessing Brain Health: Cognitive Impairment, Depression and Pre-symptomatic Alzheimer’s Disease
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    Chapter 29 The Effect of Sequence Complexity on the Construction of Protein-Protein Interaction Networks
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    Chapter 30 Data Fusion and Feature Selection for Alzheimer’s Diagnosis
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    Chapter 31 A Cognitive Architecture Based on Neuroscience for the Control of Virtual 3D Human Creatures
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    Chapter 32 Towards Inexpensive BCI Control for Wheelchair Navigation in the Enabled Environment – A Hardware Survey
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    Chapter 33 Expression Recognition Methods Based on Feature Fusion
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    Chapter 34 Investigation on Human Characteristics of Japanese Katakana Recognition by Active Touch
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    Chapter 35 Towards Systematic Human Brain Data Management Using a Data-Brain Based GLS-BI System
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    Chapter 36 The Role of the Parahippocampal Cortex in Memory Encoding and Retrieval: An fMRI Study
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    Chapter 37 Brain Activation and Deactivation in Human Inductive Reasoning: An fMRI Study
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    Chapter 38 Clustering of fMRI Data Using Affinity Propagation
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    Chapter 39 Interaction between Visual Attention and Goal Control for Speeding Up Human Heuristic Search
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    Chapter 40 The Role of Posterior Parietal Cortex in Problem Representation
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    Chapter 41 Basic Level Advantage and Its Switching during Information Retrieval: An fMRI Study
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
2 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
7 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Brain Informatics
Published by
ADS, September 2010
DOI 10.1007/978-3-642-15314-3
ISBNs
978-3-64-215313-6, 978-3-64-215314-3
Editors

Yao, Yiyu, Sun, Ron, Poggio, Tomaso, Liu, Jiming, Zhong, Ning, Huang, Jimmy

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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 14%
Unknown 6 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 14%
Unknown 6 86%
Readers by discipline Count As %
Design 1 14%
Unknown 6 86%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 14 March 2024.
All research outputs
#7,085,398
of 25,482,409 outputs
Outputs from ADS
#6,041
of 26,065 outputs
Outputs of similar age
#33,081
of 104,137 outputs
Outputs of similar age from ADS
#77
of 328 outputs
Altmetric has tracked 25,482,409 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 26,065 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 76% of its peers.
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 104,137 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 328 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.