Brain Informatics

Chapter 1 Estimating the Temporal Evolution of Synaptic Weights from Dynamic Functional Connectivity

Chapter 2 From Concrete to Abstract Rules: A Computational Sketch

Chapter 3 Detection of Healthy and Unhealthy Brain States from Local Field Potentials Using Machine Learning

Chapter 4 COSLETS: Recognition of Emotions Based on EEG Signals

Chapter 5 Influences of Social Learning in Individual Perception and Decision Making in People with Autism: A Computational Approach

Chapter 6 Analysis of Alpha Band Decomposition in Different Level-k Scenarios with Semantic Processing

Chapter 7 Toward the Study of the Neural-Underpinnings of Dyslexia During Final-Phoneme Elision: A Machine Learning Approach

Chapter 8 Root-Cause Analysis of Activation Cascade Differences in Brain Networks

Chapter 9 Unstructured Categorization with Probabilistic Feedback: Learning Accuracy Versus Response Time

Chapter 10 Optimizing Measures of Information Encoding in Astrocytic Calcium Signals

Chapter 11 Introducing the Rank-Biased Overlap as Similarity Measure for Feature Importance in Explainable Machine Learning: A Case Study on Parkinson’s Disease

Chapter 12 Prediction of Neuropsychological Scores from Functional Connectivity Matrices Using Deep Autoencoders

Chapter 13 Classifying EEG Signals of Mind-Wandering Across Different Styles of Meditation

Chapter 14 Feature Fusion-Based Capsule Network for Cross-Subject Mental Workload Classification

Chapter 15 Brain Source Reconstruction Solution Quality Assessment with Spatial Graph Frequency Features

Chapter 16 Enhancing the MR Neuroimaging by Using the Deep Super-Resolution Reconstruction

Chapter 17 Towards Machine Learning Driven Self-guided Virtual Reality Exposure Therapy Based on Arousal State Detection from Multimodal Data

Chapter 18 Convex Hull in Brain Tumor Segmentation

Chapter 19 Computer-Aided Diagnosis Framework for ADHD Detection Using Quantitative EEG

Chapter 20 A Machine Learning Approach for Early Detection of Postpartum Depression in Bangladesh

Chapter 21 Epilepsy Detection from EEG Data Using a Hybrid CNN-LSTM Model

Chapter 22 Classifying Brain Tumor from MRI Images Using Parallel CNN Model

Chapter 23 Triplet-Loss Based Siamese Convolutional Neural Network for 4-Way Classification of Alzheimer’s Disease

Chapter 24 Understanding Syntax Structure of Language After a Head Injury

Chapter 25 A Belief Rule Based Expert System to Diagnose Alzheimer’s Disease Using Whole Blood Gene Expression Data

Chapter 26 Feature-Selected Graph Spatial Attention Network for Addictive Brain-Networks Identification

Chapter 27 Biologically Inspired Neural Path Finding

Chapter 28 A Second-Order Adaptive Social-Behavioural Model for Individual and Duo Motor Learning

Chapter 29 EEG Signal Classification Using Shallow FBCSP ConvNet with a New Cropping Strategy

Chapter 30 Becoming Attuned to Each Other Over Time: A Computational Neural Agent Model for the Role of Time Lags in Subjective Synchrony Detection and Related Behavioral Adaptivity