| TÃtulo : |
Brain Informatics : 14th International Conference, BI 2021, Virtual Event, September 17–19, 2021, Proceedings / |
| Tipo de documento: |
documento electrónico |
| Autores: |
Mahmud, Mufti, ; Kaiser, M Shamim, ; Vassanelli, Stefano, ; Dai, Qionghai, ; Zhong, Ning, |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2021 |
| Número de páginas: |
XLVII, 570 p. 202 ilustraciones, 170 ilustraciones en color. |
| ISBN/ISSN/DL: |
978-3-030-86993-9 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Idioma : |
Inglés (eng) |
| Palabras clave: |
Inteligencia artificial Software de la aplicacion Interfaces de usuario (sistemas informáticos) La interacción persona-ordenador Procesamiento de imágenes Visión por computador Aplicaciones informáticas y de sistemas de información Computadoras y Educación Interfaces de usuario e interacción persona-computadora Imágenes por computadora visión reconocimiento de patrones y gráficos |
| Clasificación: |
006.3 |
| Resumen: |
Este libro constituye las actas arbitradas de la 14.ª Conferencia Internacional sobre Informática Cerebral, BI 2021, celebrada en septiembre de 2021. La conferencia se celebró virtualmente debido a la pandemia de COVID-19. Los 49 artÃculos completos y 2 breves, junto con 18 resúmenes, fueron cuidadosamente revisados ​​y seleccionados entre 90 presentaciones. Los artÃculos están organizados en las siguientes secciones temáticas: fundamentos cognitivos y computacionales de la ciencia del cerebro; investigaciones de sistemas de procesamiento de información humana; análisis, curación y gestión de big data cerebrales; paradigmas informáticos para la investigación del cerebro y la salud mental; e inteligencia cerebro-máquina y computación inspirada en el cerebro. |
| Nota de contenido: |
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. . |
| Tipo de medio : |
Computadora |
| Summary : |
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. |
| Enlace de acceso : |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
Brain Informatics : 14th International Conference, BI 2021, Virtual Event, September 17–19, 2021, Proceedings / [documento electrónico] / Mahmud, Mufti, ; Kaiser, M Shamim, ; Vassanelli, Stefano, ; Dai, Qionghai, ; Zhong, Ning, . - 1 ed. . - [s.l.] : Springer, 2021 . - XLVII, 570 p. 202 ilustraciones, 170 ilustraciones en color. ISBN : 978-3-030-86993-9 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés ( eng)
| Palabras clave: |
Inteligencia artificial Software de la aplicacion Interfaces de usuario (sistemas informáticos) La interacción persona-ordenador Procesamiento de imágenes Visión por computador Aplicaciones informáticas y de sistemas de información Computadoras y Educación Interfaces de usuario e interacción persona-computadora Imágenes por computadora visión reconocimiento de patrones y gráficos |
| Clasificación: |
006.3 |
| Resumen: |
Este libro constituye las actas arbitradas de la 14.ª Conferencia Internacional sobre Informática Cerebral, BI 2021, celebrada en septiembre de 2021. La conferencia se celebró virtualmente debido a la pandemia de COVID-19. Los 49 artÃculos completos y 2 breves, junto con 18 resúmenes, fueron cuidadosamente revisados ​​y seleccionados entre 90 presentaciones. Los artÃculos están organizados en las siguientes secciones temáticas: fundamentos cognitivos y computacionales de la ciencia del cerebro; investigaciones de sistemas de procesamiento de información humana; análisis, curación y gestión de big data cerebrales; paradigmas informáticos para la investigación del cerebro y la salud mental; e inteligencia cerebro-máquina y computación inspirada en el cerebro. |
| Nota de contenido: |
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. . |
| Tipo de medio : |
Computadora |
| Summary : |
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. |
| Enlace de acceso : |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
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