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Brain Informatics: 14th International Conference, BI 2021, Virtual Event, September 17–19, 2021, Proceedings de Mufti Mahmud

Brain Informatics: 14th International Conference, BI 2021, Virtual Event, September 17–19, 2021, Proceedings: Lecture Notes in Computer Science, cartea 12960

Editat de Mufti Mahmud, M Shamim Kaiser, Stefano Vassanelli, Qionghai Dai, Ning Zhong
en Limba Engleză Paperback – 16 sep 2021
This book constitutes the refereed proceedings of the 14th International Conference on Brain Informatics, BI 2021, held in September 2021. The conference was held virtually due to the COVID-19 pandemic.
The 49 full and 2 short papers together with 18 abstract papers were carefully reviewed and selected from 90 submissions. The papers are organized in the following topical sections: cognitive and computational foundations of brain science; investigations of human information processing systems; brain big data analytics, curation and management; informatics paradigms for brain and mental health research; and brain-machine intelligence and brain-inspired computing.
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Specificații

ISBN-13: 9783030869922
ISBN-10: 303086992X
Pagini: 570
Ilustrații: XLVII, 570 p. 202 illus., 170 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.86 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence

Locul publicării:Cham, Switzerland

Cuprins

Cognitive and Computational Foundations of Brain Science Inferring Neural Circuit Interactions and Neuromodulation from Local Field Potential and Electroencephalogram measures.- Motivation to Learn Action-State Representation with Hierarchical Temporal Memory.- The Effect of Expected Revenue Proportion and Social Value Orientation Index on Players’ Behavior in Divergent Interest Tacit Coordination Games.- On the Extraction of High-level Visual Features from Lateral Geniculate Nucleus Activity: A Rat Study.- Disfluency as an Indicator of Cognitive-communication Disorder Through Learning Methods.- Bidirected Information Flow in the High-Level Visual Cortex.- A Computational Network Model for Shared Mental Models in Hospital Operation Rooms.- System Level Knowledge Representation For Metacognition in Neuroscience.- Brain connectivity based classification of Meditation expertise.- Exploring the Brain Information Processing Mechanisms from Functional Connectivity to Translational Applications.- Organization Investigations of Human Information Processing Systems Spectral Properties of Local Field Potentials and Electroencephalograms as Indices for Changes in Neural Circuit Parameters.- Identifying individuals using EEG-based Brain Connectivity Patterns.- A Novel Hybrid Model for Brain Functional Connectivity based on EEG.- ictogram Classification for Semantic Recognition of Emotional Context.- An Artificial Intelligence based Approach Towards Inclusive Healthcare Provisioning in Society 5.0: A Perspective on Brain Disorder.- Emotion recognition model based on the word structural representation.- Towards Learning a Joint Representation from Transformer in Multimodal Emotion Recognition.- Virtual Reality for Enhancement of Emotional Mindset.- Study on the Influencing Factors of Short Video Users’ Subjective Well-Being.- Brain Big Data Analytics, Curation and Management System Level Knowledge Analysis and Vocabulary Extraction for Neuroscience.- Analysing, Representing and Classifying Neuroscience Questions Using Ontologies.- Gray Movie Identification from Electroencephalography response using Convolutional Neural Network.- Searching for unique neural descriptors of primary colours in EEG signals: a classification study.- Comparison between Active and Passive Attention Using EEG Waves and Deep Neural Network.- An Image-enhance Topic Modeling Method for Neuroimaging Literature.- Frequency Bands Selection for Seizure Classification and Forecasting using NLP, Random Forest and SVM Models.- Using tools for the analysis of the mental activity of programmers.- Informatics Paradigms for Brain and Mental Health Research Explainable Boosting Machine for predicting Alzheimer’s disease from MRI Hippocampal Subfields.- A Matlab-based Open-Source Toolbox for Artefact Removal from Extracellular Neuronal Signals.- Organization D3mciAD: Data-Driven Diagnosis of Mild Cognitive Impairment Utilizing Syntactic Images Generation and Neural Nets.- Mental Healthcare Chatbot using Sequence-to-Sequence Learning and BiLSTM.- A Belief Rule Base Approach to Support Comparison of Digital Speech Signal Features for Parkinson’s Disease Diagnosis.- Towards Autism Subtype Detection through Identification of Discriminatory Factors using Machine Learning Indoor Navigation Support System for Patients with Neurodegenerative Diseases.