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Autor Zhong, Ning |
Documentos disponibles escritos por este autor (4)
Crear una solicitud de compra Refinar búsquedaApplied Intelligence and Informatics / Mahmud, Mufti ; Kaiser, M. Shamim ; Kasabov, Nikola ; Iftekharuddin, Khan ; Zhong, Ning
TÃtulo : Applied Intelligence and Informatics : First International Conference, AII 2021, Nottingham, UK, July 30–31, 2021, Proceedings / Tipo de documento: documento electrónico Autores: Mahmud, Mufti, ; Kaiser, M. Shamim, ; Kasabov, Nikola, ; Iftekharuddin, Khan, ; Zhong, Ning, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: XIV, 402 p. 170 ilustraciones, 145 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-82269-9 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 IngenierÃa Informática Red de computadoras Ciencias sociales Procesamiento de imágenes Visión por computador IngenierÃa Informática y Redes Aplicación informática en ciencias sociales y del comportamiento. Computadoras y Educación Imágenes por computadora visión reconocimiento de patrones y gráficos Clasificación: 006.3 Resumen: Este libro constituye las actas arbitradas de la Primera Conferencia Internacional sobre Inteligencia Aplicada e Informática, AII 2021, celebrada en Nottingham, Reino Unido, en julio de 2021. Debido a la pandemia de COVID-19, la conferencia se llevó a cabo de forma totalmente virtual. Los 26 artÃculos completos y 4 artÃculos breves presentados fueron revisados ​​minuciosamente y seleccionados del total de 107 presentaciones. Están organizados en las siguientes secciones temáticas: aplicación de la IA y la informática en la detección de enfermedades; aplicación de la IA y la informática en la asistencia sanitaria; aplicación de IA e informática al reconocimiento de patrones; aplicación de IA e informática en redes, seguridad y análisis; Aplicaciones emergentes de la IA y la informática. Nota de contenido: Application of AI and Informatics in Disease Detection -- Application of AI and Informatics in Healthcare -- Application of AI and Informatics in Pattern Recognition -- Application of AI and Informatics in Network, Security,and Analytics -- Emerging Applications of AI and Informatics. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the First International Conference on Applied Intelligence and Informatics, AII 2021, held in Nottingham, UK, in July 2021. Due to the COVID-19 pandemic the conference was held in a fully virtual mode. The 26 full papers and 4 short papers presented were thoroughly reviewed and selected from the total 107 submissions. They are organized in the following topical sections: application of AI and informatics in disease detection; application of AI and informatics in healthcare; application of AI and informatics in pattern recognition; application of AI and informatics in network, security, and analytics; emerging applications of AI and informatics. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Applied Intelligence and Informatics : First International Conference, AII 2021, Nottingham, UK, July 30–31, 2021, Proceedings / [documento electrónico] / Mahmud, Mufti, ; Kaiser, M. Shamim, ; Kasabov, Nikola, ; Iftekharuddin, Khan, ; Zhong, Ning, . - 1 ed. . - [s.l.] : Springer, 2021 . - XIV, 402 p. 170 ilustraciones, 145 ilustraciones en color.
ISBN : 978-3-030-82269-9
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 IngenierÃa Informática Red de computadoras Ciencias sociales Procesamiento de imágenes Visión por computador IngenierÃa Informática y Redes Aplicación informática en ciencias sociales y del comportamiento. Computadoras y Educación Imágenes por computadora visión reconocimiento de patrones y gráficos Clasificación: 006.3 Resumen: Este libro constituye las actas arbitradas de la Primera Conferencia Internacional sobre Inteligencia Aplicada e Informática, AII 2021, celebrada en Nottingham, Reino Unido, en julio de 2021. Debido a la pandemia de COVID-19, la conferencia se llevó a cabo de forma totalmente virtual. Los 26 artÃculos completos y 4 artÃculos breves presentados fueron revisados ​​minuciosamente y seleccionados del total de 107 presentaciones. Están organizados en las siguientes secciones temáticas: aplicación de la IA y la informática en la detección de enfermedades; aplicación de la IA y la informática en la asistencia sanitaria; aplicación de IA e informática al reconocimiento de patrones; aplicación de IA e informática en redes, seguridad y análisis; Aplicaciones emergentes de la IA y la informática. Nota de contenido: Application of AI and Informatics in Disease Detection -- Application of AI and Informatics in Healthcare -- Application of AI and Informatics in Pattern Recognition -- Application of AI and Informatics in Network, Security,and Analytics -- Emerging Applications of AI and Informatics. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the First International Conference on Applied Intelligence and Informatics, AII 2021, held in Nottingham, UK, in July 2021. Due to the COVID-19 pandemic the conference was held in a fully virtual mode. The 26 full papers and 4 short papers presented were thoroughly reviewed and selected from the total 107 submissions. They are organized in the following topical sections: application of AI and informatics in disease detection; application of AI and informatics in healthcare; application of AI and informatics in pattern recognition; application of AI and informatics in network, security, and analytics; emerging applications of AI and informatics. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Brain Informatics : 13th International Conference, BI 2020, Padua, Italy, September 19, 2020, Proceedings Tipo de documento: documento electrónico Autores: Mahmud, Mufti, ; Vassanelli, Stefano, ; Kaiser, M. Shamim, ; Zhong, Ning, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XIV, 378 p. 128 ilustraciones, 115 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-59277-6 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 Procesamiento de imágenes Visión por computador Software de la aplicacion Imágenes por computadora visión reconocimiento de patrones y gráficos Aplicaciones informáticas y de sistemas de información Clasificación: 006.3 Resumen: Este libro constituye las actas arbitradas de la 13.ª Conferencia Internacional sobre Informática Cerebral, BI 2020, celebrada en Padua, Italia, en septiembre de 2020. La conferencia se celebró virtualmente debido a la pandemia de COVID-19. Los 33 artÃculos completos fueron cuidadosamente revisados ​​y seleccionados entre 57 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 -- 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. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 13th International Conference on Brain Informatics, BI 2020, held in Padua, Italy, in September 2020. The conference was held virtually due to the COVID-19 pandemic. The 33 full papers were carefully reviewed and selected from 57 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 : 13th International Conference, BI 2020, Padua, Italy, September 19, 2020, Proceedings [documento electrónico] / Mahmud, Mufti, ; Vassanelli, Stefano, ; Kaiser, M. Shamim, ; Zhong, Ning, . - 1 ed. . - [s.l.] : Springer, 2020 . - XIV, 378 p. 128 ilustraciones, 115 ilustraciones en color.
ISBN : 978-3-030-59277-6
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 Procesamiento de imágenes Visión por computador Software de la aplicacion Imágenes por computadora visión reconocimiento de patrones y gráficos Aplicaciones informáticas y de sistemas de información Clasificación: 006.3 Resumen: Este libro constituye las actas arbitradas de la 13.ª Conferencia Internacional sobre Informática Cerebral, BI 2020, celebrada en Padua, Italia, en septiembre de 2020. La conferencia se celebró virtualmente debido a la pandemia de COVID-19. Los 33 artÃculos completos fueron cuidadosamente revisados ​​y seleccionados entre 57 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 -- 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. Tipo de medio : Computadora Summary : This book constitutes the refereed proceedings of the 13th International Conference on Brain Informatics, BI 2020, held in Padua, Italy, in September 2020. The conference was held virtually due to the COVID-19 pandemic. The 33 full papers were carefully reviewed and selected from 57 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 [...]
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 [...]
TÃtulo : Functional Brain Mapping: Methods and Aims Tipo de documento: documento electrónico Autores: Tsytsarev, Vassiliy, ; Yamamoto, Vicky, ; Zhong, Ning, Mención de edición: 1 ed. Editorial: Singapore [Malasia] : Springer Fecha de publicación: 2020 Número de páginas: XII, 201 p. 62 ilustraciones, 53 ilustraciones en color. ISBN/ISSN/DL: 978-981-1568831-- 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: Neurociencias RadiologÃa Procesamiento de imágenes Visión por computador NeuropsicologÃa Neurociencia Imágenes por computadora visión reconocimiento de patrones y gráficos NeurologÃa Clasificación: 612.8 Funciones nerviosas. Resumen: Este libro proporciona una descripción general esencial de la amplia gama de técnicas de imágenes funcionales del cerebro, asà como de métodos neurocientÃficos adecuados para diversas tareas cientÃficas en neurociencia fundamental y clÃnica. También comparte información sobre métodos novedosos en neurociencia computacional, algoritmos matemáticos, procesamiento de imágenes y aplicaciones a la neurociencia. El cerebro de los mamÃferos es una red enorme y compleja que consta de miles de millones de células neurales y gliales. Decodificar cómo esta red neuronal representa y procesa la información requiere la capacidad de monitorear la dinámica de un gran número de neuronas con alta resolución temporal y espacial en una gran parte del cerebro. Las imágenes ópticas funcionales del cerebro han sido objeto de más de treinta años de desarrollo intensivo. Los métodos actuales que utilizan luz proporcionan una buena sensibilidad a los cambios funcionales a través del contraste intrÃnseco y están explotando rápidamente la creciente disponibilidad de sondas de fluorescencia exógenas. Además, ahora se utilizan varios tipos de imágenes ópticas funcionales del cerebro para revelar la microanatomÃa y la fisiologÃa del cerebro. Tipo de medio : Computadora Summary : This book provides an essential overview of the broad range of functional brain imaging techniques, as well as neuroscientific methods suitable for various scientific tasks in fundamental and clinical neuroscience. It also shares information on novel methods in computational neuroscience, mathematical algorithms, image processing, and applications to neuroscience. The mammalian brain is a huge and complex network that consists of billions of neural and glial cells. Decoding how information is represented and processed by this neural network requires the ability to monitor the dynamics of large numbers of neurons at high temporal and spatial resolution over a large part of the brain. Functional brain optical imaging has seen more than thirty years of intensive development. Current light-using methods provide good sensitivity to functional changes through intrinsic contrast and are rapidly exploiting the growing availability of exogenous fluorescence probes. In addition, various types of functional brain optical imaging are now being used to reveal the brain's microanatomy and physiology. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Functional Brain Mapping: Methods and Aims [documento electrónico] / Tsytsarev, Vassiliy, ; Yamamoto, Vicky, ; Zhong, Ning, . - 1 ed. . - Singapore [Malasia] : Springer, 2020 . - XII, 201 p. 62 ilustraciones, 53 ilustraciones en color.
ISBN : 978-981-1568831--
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: Neurociencias RadiologÃa Procesamiento de imágenes Visión por computador NeuropsicologÃa Neurociencia Imágenes por computadora visión reconocimiento de patrones y gráficos NeurologÃa Clasificación: 612.8 Funciones nerviosas. Resumen: Este libro proporciona una descripción general esencial de la amplia gama de técnicas de imágenes funcionales del cerebro, asà como de métodos neurocientÃficos adecuados para diversas tareas cientÃficas en neurociencia fundamental y clÃnica. También comparte información sobre métodos novedosos en neurociencia computacional, algoritmos matemáticos, procesamiento de imágenes y aplicaciones a la neurociencia. El cerebro de los mamÃferos es una red enorme y compleja que consta de miles de millones de células neurales y gliales. Decodificar cómo esta red neuronal representa y procesa la información requiere la capacidad de monitorear la dinámica de un gran número de neuronas con alta resolución temporal y espacial en una gran parte del cerebro. Las imágenes ópticas funcionales del cerebro han sido objeto de más de treinta años de desarrollo intensivo. Los métodos actuales que utilizan luz proporcionan una buena sensibilidad a los cambios funcionales a través del contraste intrÃnseco y están explotando rápidamente la creciente disponibilidad de sondas de fluorescencia exógenas. Además, ahora se utilizan varios tipos de imágenes ópticas funcionales del cerebro para revelar la microanatomÃa y la fisiologÃa del cerebro. Tipo de medio : Computadora Summary : This book provides an essential overview of the broad range of functional brain imaging techniques, as well as neuroscientific methods suitable for various scientific tasks in fundamental and clinical neuroscience. It also shares information on novel methods in computational neuroscience, mathematical algorithms, image processing, and applications to neuroscience. The mammalian brain is a huge and complex network that consists of billions of neural and glial cells. Decoding how information is represented and processed by this neural network requires the ability to monitor the dynamics of large numbers of neurons at high temporal and spatial resolution over a large part of the brain. Functional brain optical imaging has seen more than thirty years of intensive development. Current light-using methods provide good sensitivity to functional changes through intrinsic contrast and are rapidly exploiting the growing availability of exogenous fluorescence probes. In addition, various types of functional brain optical imaging are now being used to reveal the brain's microanatomy and physiology. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
