E-grāmata: Brain Informatics: 15th International Conference, BI 2022, Padua, Italy, July 15-17, 2022, Proceedings

Cognitive and Computational Foundations of Brain Science.- Estimating
the Temporal Evolution of Synaptic Weights from Dynamic Functional
Connectivity.- From concrete to abstract rules: A computational sketch.-
Detection of Healthy and Unhealthy Brain States from Local Field Potentials
using Machine Learning.- COSLETS: Recognition of Emotion Based on EEG
signals.- Influences of Social Learning in Individual Perception and Decision
Making in People with Autism: A Computational Approach.- Investigations of
Human Information Processing Systems.- Analysis of Semantic Processes as an
Indication for Focal Point Selection by Decomposing Alpha Frequency Band.-
Toward the study of the neural-underpinnings of dyslexia during Final-phoneme
Elision: A machine learning approach.- Root-Cause Analysis of Activation
Cascade Differences in Brain Networks.- Unstructured Categorization with
Probabilistic Feedback: Learning Accuracy versus Response Time.- Brain Big
Data Analytics, Curation and Management.-Optimizing measures of information
encoding in astrocytic calcium signals.- Introducing the Rank-Biased Overlap
as Similarity measure for Feature Importance in Explainable Machine Learning:
a case study on Parkinsons disease.- Prediction of neuropsychological scores
from functional connectivity matrices using deep autoencoders.- Feature
Fusion-Based Capsule Network for Cross-Subject Mental Workload
Classification.- Brain Source Reconstruction Solution Quality Assessment with
Spatial Graph Frequency Features.- Enhancing the MR Neuroimaging by Using the
Deep Super-Resolution Reconstruction.- Towards Machine Learning Driven
Self-guided Virtual Reality Exposure Therapy based on Arousal State Detection
from Multimodal Data.- Convex Hull in Brain Tumor Segmentation.- Informatics
Paradigms for Brain and Mental Health Research.- Computer Added Diagnosis
Framework for ADHD Detection using Quantitative EEG.- A Machine Learning
Approach for Early Detection of Postpartum Depression in Bangladesh.-
Epilepsy Detection from EEG Data using a Hybrid CNN-LSTM Model.- Classifying
Brain Tumor from MRI Images Using Parallel CNN Model.- Triplet-loss based
Siamese Convolutional Neural Network for 4-Way Classification of Alzheimers
Disease.- Understanding syntax structure of language after a head injury.- A
Belief Rule Based Expert System To Diagnose Alzheimers disease Using Whole
Blood Gene Expression Data.- Feature-selected Graph Spatial Attention Network
for Addictive Brain-Networks Identification.- Brain-Machine Intelligence and
Brain-Inspired Computing.- Biologically Inspired Neural Path Finding.- A
Second-Order Adaptive Social-Behavioural Model for Individual and Duo Motor
Learning.- EEG signal classification using Shallow FBCSP ConvNet with a new
cropping strategy.- Becoming Attuned To Each Other Over Time: A Computational
Neural Agent Model for the Role of Time Lags in Subjective Synchrony
Detection and Related Behavioural Adaptivity.