Buch, Englisch, 570 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 925 g
14th International Conference, BI 2021, Virtual Event, September 17-19, 2021, Proceedings
Buch, Englisch, 570 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 925 g
Reihe: Lecture Notes in Artificial Intelligence
ISBN: 978-3-030-86992-2
Verlag: Springer
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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
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.
