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_aBrain Informatics _h[electronic resource] : _b14th International Conference, BI 2021, Virtual Event, September 17-19, 2021, Proceedings / _cedited by Mufti Mahmud, M Shamim Kaiser, Stefano Vassanelli, Qionghai Dai, Ning Zhong. |
250 | _a1st ed. 2021. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2021. |
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300 |
_aXLVII, 570 p. 202 illus., 170 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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347 |
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490 | 1 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v12960 |
|
505 | 0 | _aCognitive 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. . | |
520 | _aThis 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. | ||
650 | 0 |
_aArtificial intelligence. _93407 |
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650 | 0 |
_aApplication software. _9111870 |
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650 | 0 |
_aEducation _xData processing. _982607 |
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650 | 0 |
_aUser interfaces (Computer systems). _911681 |
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650 | 0 |
_aHuman-computer interaction. _96196 |
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650 | 0 |
_aImage processing _xDigital techniques. _94145 |
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650 | 0 |
_aComputer vision. _9111871 |
|
650 | 1 | 4 |
_aArtificial Intelligence. _93407 |
650 | 2 | 4 |
_aComputer and Information Systems Applications. _9111872 |
650 | 2 | 4 |
_aComputers and Education. _941129 |
650 | 2 | 4 |
_aComputer and Information Systems Applications. _9111872 |
650 | 2 | 4 |
_aUser Interfaces and Human Computer Interaction. _931632 |
650 | 2 | 4 |
_aComputer Imaging, Vision, Pattern Recognition and Graphics. _931569 |
700 | 1 |
_aMahmud, Mufti. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9111873 |
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700 | 1 |
_aKaiser, M Shamim. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9111874 |
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700 | 1 |
_aVassanelli, Stefano. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9111875 |
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700 | 1 |
_aDai, Qionghai. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9111876 |
|
700 | 1 |
_aZhong, Ning. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9111877 |
|
710 | 2 |
_aSpringerLink (Online service) _9111878 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783030869922 |
776 | 0 | 8 |
_iPrinted edition: _z9783030869946 |
830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v12960 _9111879 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-86993-9 |
912 | _aZDB-2-SCS | ||
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