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 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