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Brain Informatics

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Cover of 'Brain Informatics'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Emotion Recognition Based on Gramian Encoding Visualization
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    Chapter 2 EEG Based Brain Mapping by Using Frequency-Spatio-Temporal Constraints
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    Chapter 3 An EEG-Based Emotion Recognition Model with Rhythm and Time Characteristics
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    Chapter 4 Influence of Realistic Head Modeling on EEG Forward Problem
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    Chapter 5 Computational Model for Reward-Based Generation and Maintenance of Motivation
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    Chapter 6 Current Design with Minimum Error in Transcranial Direct Current Stimulation
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    Chapter 7 Assessment of Source Connectivity for Emotional States Discrimination
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    Chapter 8 Rich Dynamics Induced by Synchronization Varieties in the Coupled Thalamocortical Circuitry Model
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    Chapter 9 Humans Have a Distributed, Molecular Long-Term Memory
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    Chapter 10 Functional Connectivity Analysis Using the Oddball Auditory Paradigm for Attention Tasks
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    Chapter 11 Perspective Taking vs Mental Rotation: CSP-Based Single-Trial Analysis for Cognitive Process Disambiguation
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    Chapter 12 Using the Partial Directed Coherence to Understand Brain Functional Connectivity During Movement Imagery Tasks
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    Chapter 13 Combining fMRI Data and Neural Networks to Quantify Contextual Effects in the Brain
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    Chapter 14 Network Analysis of Brain Functional Connectivity in Mental Arithmetic Using Task-Evoked fMRI
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    Chapter 15 The Astrocytic Microdomain as a Generative Mechanism for Local Plasticity
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    Chapter 16 Determining the Optimal Number of MEG Trials: A Machine Learning and Speech Decoding Perspective
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    Chapter 17 Use of Temporal Attributes in Detection of Functional Areas in Basal Ganglia
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    Chapter 18 Influence of Time-Series Extraction on Binge Drinking Interpretability Using Functional Connectivity Analysis
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    Chapter 19 Regularized State Observers for Source Activity Estimation
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    Chapter 20 Distributional Representation for Resting-State Functional Brain Connectivity Analysis
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    Chapter 21 Deep Neural Networks for Automatic Classification of Anesthetic-Induced Unconsciousness
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    Chapter 22 Efficient and Automatic Subspace Relevance Determination via Multiple Kernel Learning for High-Dimensional Neuroimaging Data
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    Chapter 23 Improving SNR and Reducing Training Time of Classifiers in Large Datasets via Kernel Averaging
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    Chapter 24 Automatic Recognition of Resting State fMRI Networks with Dictionary Learning
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    Chapter 25 Simultaneous EEG Analysis and Feature Extraction Selection Based on Unsupervised Learning
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    Chapter 26 Construction of Sparse Weighted Directed Network (SWDN) from the Multivariate Time-Series
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    Chapter 27 Preference Prediction Based on Eye Movement Using Multi-layer Combinatorial Fusion
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    Chapter 28 A Multilayer Network Approach for Studying Creative Ideation from EEG
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    Chapter 29 Estimating Latent Brain Sources with Low-Rank Representation and Graph Regularization
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    Chapter 30 Analysis of Epileptic Activity Based on Brain Mapping of EEG Adaptive Time-Frequency Decomposition
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    Chapter 31 Resting State EEG Based Depression Recognition Research Using Deep Learning Method
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    Chapter 32 Tensor Decomposition for Neurodevelopmental Disorder Prediction
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    Chapter 33 Feature Selection and Imbalanced Data Handling for Depression Detection
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    Chapter 34 Deep Convolutional Neural Networks for Automated Diagnosis of Alzheimer’s Disease and Mild Cognitive Impairment Using 3D Brain MRI
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    Chapter 35 Evaluating Mental Health Encounters in mTBI: Identifying Patient Subgroups and Recommending Personalized Treatments
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    Chapter 36 DeepDx: A Deep Learning Approach for Predicting the Likelihood and Severity of Symptoms Post Concussion
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    Chapter 37 Automatic Detection of Epileptic Spike in EEGs of Children Using Matched Filter
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    Chapter 38 fASSERT: A Fuzzy Assistive System for Children with Autism Using Internet of Things
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    Chapter 39 ADEPTNESS: Alzheimer’s Disease Patient Management System Using Pervasive Sensors - Early Prototype and Preliminary Results
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    Chapter 40 Uncovering Dynamic Functional Connectivity of Parkinson’s Disease Using Topological Features and Sparse Group Lasso
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    Chapter 41 The Effect of Culture and Social Orientation on Player’s Performances in Tacit Coordination Games
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    Chapter 42 Self-programming Robots Boosted by Neural Agents
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    Chapter 43 EEG-Based Subjects Identification Based on Biometrics of Imagined Speech Using EMD
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    Chapter 44 Simulating Phishing Email Processing with Instance-Based Learning and Cognitive Chunk Activation
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    Chapter 45 Sparse Sampling and Fully-3D Fast Total Variation Based Imaging Reconstruction for Chemical Shift Imaging in Magnetic Resonance Spectroscopy
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    Chapter 46 An Auto TCD Probe Design and Visualization
Attention for Chapter 16: Determining the Optimal Number of MEG Trials: A Machine Learning and Speech Decoding Perspective
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Chapter title
Determining the Optimal Number of MEG Trials: A Machine Learning and Speech Decoding Perspective
Chapter number 16
Book title
Brain Informatics
Published by
Springer, Cham, December 2018
DOI 10.1007/978-3-030-05587-5_16
Pubmed ID
Book ISBNs
978-3-03-005586-8, 978-3-03-005587-5
Authors

Debadatta Dash, Paul Ferrari, Saleem Malik, Albert Montillo, Joseph A. Maldjian, Jun Wang, Dash, Debadatta, Ferrari, Paul, Malik, Saleem, Montillo, Albert, Maldjian, Joseph A., Wang, Jun

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 24%
Student > Doctoral Student 1 6%
Student > Bachelor 1 6%
Researcher 1 6%
Professor > Associate Professor 1 6%
Other 1 6%
Unknown 8 47%
Readers by discipline Count As %
Neuroscience 5 29%
Engineering 2 12%
Physics and Astronomy 1 6%
Unknown 9 53%