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Brain Informatics

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Cover of 'Brain Informatics'

Table of Contents

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    Book Overview
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    Chapter 1 An Adaptive Computational Fear-Avoidance Model Applied to Genito-Pelvic Pain/Penetration Disorder
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    Chapter 2 Are We Producing Narci-nials? An Adaptive Agent Model for Parental Influence
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    Chapter 3 A Systematic Assessment of Feature Extraction Methods for Robust Prediction of Neuropsychological Scores from Functional Connectivity Data
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    Chapter 4 The Effect of Loss-Aversion on Strategic Behaviour of Players in Divergent Interest Tacit Coordination Games
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    Chapter 5 Effect of the Gamma Entrainment Frequency in Pertinence to Mood, Memory and Cognition
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    Chapter 6 Temporal-Spatial-Spectral Investigation of Brain Network Dynamics in Human Speech Perception
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    Chapter 7 Precise Estimation of Resting State Functional Connectivity Using Empirical Mode Decomposition
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    Chapter 8 3D DenseNet Ensemble in 4-Way Classification of Alzheimer’s Disease
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    Chapter 9 Dynamic Functional Connectivity Captures Individuals’ Unique Brain Signatures
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    Chapter 10 Differential Effects of Trait Empathy on Functional Network Centrality
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    Chapter 11 Classification of PTSD and Non-PTSD Using Cortical Structural Measures in Machine Learning Analyses—Preliminary Study of ENIGMA-Psychiatric Genomics Consortium PTSD Workgroup
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    Chapter 12 Segmentation of Brain Tumor Tissues in Multi-channel MRI Using Convolutional Neural Networks
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    Chapter 13 Resolving Neuroscience Questions Using Ontologies and Templates
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    Chapter 14 Machine Learning in Analysing Invasively Recorded Neuronal Signals: Available Open Access Data Sources
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    Chapter 15 Automatic Detection of Epileptic Waves in Electroencephalograms Using Bag of Visual Words and Machine Learning
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    Chapter 16 UPDRS Label Assignment by Analyzing Accelerometer Sensor Data Collected from Conventional Smartphones
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    Chapter 17 Effectiveness of Employing Multimodal Signals in Removing Artifacts from Neuronal Signals: An Empirical Analysis
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    Chapter 18 A Machine Learning Based Fall Detection for Elderly People with Neurodegenerative Disorders
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    Chapter 19 Machine Learning Based Early Fall Detection for Elderly People with Neurological Disorder Using Multimodal Data Fusion
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    Chapter 20 A Computational Model for Simultaneous Employment of Multiple Emotion Regulation Strategies
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    Chapter 21 Deep LSTM Recurrent Neural Network for Anxiety Classification from EEG in Adolescents with Autism
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    Chapter 22 Improving Alcoholism Diagnosis: Comparing Instance-Based Classifiers Against Neural Networks for Classifying EEG Signal
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    Chapter 23 A Monitoring System for Patients of Autism Spectrum Disorder Using Artificial Intelligence
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    Chapter 24 Artificial and Internet of Healthcare Things Based Alzheimer Care During COVID 19
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    Chapter 25 Towards Artificial Intelligence Driven Emotion Aware Fall Monitoring Framework Suitable for Elderly People with Neurological Disorder
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    Chapter 26 Speech Emotion Recognition in Neurological Disorders Using Convolutional Neural Network
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    Chapter 27 Towards Improved Detection of Cognitive Performance Using Bidirectional Multilayer Long-Short Term Memory Neural Network
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    Chapter 28 Comparative Study of Wet and Dry Systems on EEG-Based Cognitive Tasks
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    Chapter 29 Recall Performance Improvement in a Bio-Inspired Model of the Mammalian Hippocampus
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    Chapter 30 Canonical Retina-to-Cortex Vision Model Ready for Automatic Differentiation
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    Chapter 31 An Optimized Self-adjusting Model for EEG Data Analysis in Online Education Processes
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    Chapter 32 Sequence Learning in Associative Neuronal-Astrocytic Networks
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    Chapter 33 EEG Based Sleep-Wake Classification Using JOPS Algorithm
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Title
Brain Informatics
Published by
Springer International Publishing, January 2020
DOI 10.1007/978-3-030-59277-6
ISBNs
978-3-03-059276-9, 978-3-03-059277-6
Editors

Mufti Mahmud, Stefano Vassanelli, M. Shamim Kaiser, Ning Zhong

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