Brain Informatics: 13th International Conference, Bi 2020, Padua, Italy, September 19, 2020, Proceedings

ISBN-13: 9783030592769 / Angielski / Miękka / 2020 / 378 str.

Mufti Mahmud; Stefano Vassanelli; M. Shamim Kaiser

Spis treści

Cognitive and Computational Foundations Of Brain Science.- An Adaptive Computational Fear-Avoidance Model Applied to Genito-Pelvic Pain/Penetration Disorder.- Are We Producing Narci-nials? An Adaptive Agent Model for Parental Influence.- A Systematic Assessment of Feature Extraction Methods for Robust Prediction of Neuropsychological Scores from Functional Connectivity Data.- The Effect of Loss-Aversion on Strategic Behaviour of Players in Divergent Interest Tacit Coordination Games.- Effect of the Gamma Entrainment Frequency in Pertinence to Mood, Memory and Cognition.- Investigations of Human Information Processing Systems.- Temporal-Spatial-Spectral Investigation of Brain Network Dynamics in Human Speech Perception.- Precise estimation of Resting State Functional Connectivity Using Empirical Mode Decomposition.- 3D DenseNet Ensemble in 4-Way Classification of Alzheimer's Disease.- Dynamic Functional Connectivity Captures Individuals' Unique Brain Signatures.- Differential Effects of Trait Empathy on Functional Network Centrality.- Classification of PTSD and non-PTSD Using Cortical Structural Measures in Machine Learning Analyses | Preliminary Study of ENIGMA-Psychiatric Genomics Consortium PTSD Workgroup.- Segmentation of Brain Tumor Tissues in Multi-Channel MRI using Convolutional Neural Networks.- Brain Big Data Analytics, Curation and Management.- Resolving Neuroscience Questions Using Ontologies and Templates.- Machine Learning in Analysing Invasively Recorded Neuronal Signals: Available Open Access Data Sources.- Automatic Detection of Epileptic Waves in Electroencephalograms Using Bag of Visual Words and Machine Learning.- UPDRS Label Assignment by Analyzing Accelerometer Sensor Data Collected from Conventional Smartphones.- Effectiveness of Employing Multimodal Signals in Removing Artifacts from Neuronal Signals: An Empirical Analysis.- A Machine Learning Based Fall Detection System for Elderly People with Neurodegenaration Disorders.- Management of Neurodegenarative Diseases using Machine Learning and Internet of Things.- Informatics Paradigms for Brain and Mental Health Research.- A Computational Model for Simultaneous Employment of Multiple Emotion Regulation Strategies.- Deep LSTM Recurrent Neural Network for Anxiety Classification from EEG in Adolescents With Autism.- Improving Alcoholism Diagnosis: Comparing Instance-based Classifiers against Neural Networks for Classifying EEG signal.- A Monitoring System for Patients of Autism Spectrum Disorder using Artificial Intelligence.- Artificial and Internet of Healthcare Things based Alzheimer Care during COVID 19.- Towards Artificial Intelligence Driven Emotion Aware Fall Monitoring Framework Suitable for Elderly People with Neurological Disorder.- Speech emotion recognition in neurological disorders using Convolutional Neural Network.- Towards Improved Detection of Cognitive Performance using Bidirectional Multi layer Long-Short Term Memory Neural Network.- Brain-Machine Intelligence and Brain-Inspired Computing.- Comparative Study of Wet and Dry Systems on EEG-based Cognitive Tasks.- Recall performance improvement in a bio-inspired model of the mammalian hippocampus.- Canonical retina-to-cortex vision model ready for automatic differentiation.- An Optimized Self-Adjusting Model for EEG Data Analysis in Online Education Processes.- Sequence learning in Associative Neuronal-Astrocytic Networks.- EEG based Sleep-Wake Classification using JOPS Algorithm.