LEADER 06096nam 22006975 450 001 9910588599703321 005 20251113184935.0 010 $a9783031150371 010 $a3031150376 024 7 $a10.1007/978-3-031-15037-1 035 $a(MiAaPQ)EBC7076083 035 $a(Au-PeEL)EBL7076083 035 $a(CKB)24723939500041 035 $a(PPN)264191404 035 $a(OCoLC)1342109382 035 $a(DE-He213)978-3-031-15037-1 035 $a(EXLCZ)9924723939500041 100 $a20220819d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBrain Informatics $e15th International Conference, BI 2022, Padua, Italy, July 15?17, 2022, Proceedings /$fedited by Mufti Mahmud, Jing He, Stefano Vassanelli, André van Zundert, Ning Zhong 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (390 pages) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v13406 311 08$aPrint version: Mahmud, Mufti Brain Informatics Cham : Springer International Publishing AG,c2022 9783031150364 320 $aIncludes bibliographical references and index. 327 $aCognitive and Computational Foundations of Brain Science -- Estimating the Temporal Evolution of Synaptic Weights from Dynamic Functional Connectivity -- From concrete to abstract rules: A computational sketch -- Detection of Healthy and Unhealthy Brain States from Local Field Potentials using Machine Learning -- COSLETS: Recognition of Emotion Based on EEG signals -- Influences of Social Learning in Individual Perception and Decision Making in People with Autism: A Computational Approach -- Investigations of Human Information Processing Systems -- Analysis of Semantic Processes as an Indication for Focal Point Selection by Decomposing Alpha Frequency Band -- Toward the study of the neural-underpinnings of dyslexia during Final-phoneme Elision: A machine learning approach -- Root-Cause Analysis of Activation Cascade Differences in Brain Networks -- Unstructured Categorization with Probabilistic Feedback: Learning Accuracy versus Response Time -- Brain Big Data Analytics, Curation and Management.-Optimizing measures of information encoding in astrocytic calcium signals -- Introducing the Rank-Biased Overlap as Similarity measure for Feature Importance in Explainable Machine Learning: a case study on Parkinson?s disease -- Prediction of neuropsychological scores from functional connectivity matrices using deep autoencoders -- Feature Fusion-Based Capsule Network for Cross-Subject Mental Workload Classification -- Brain Source Reconstruction Solution Quality Assessment with Spatial Graph Frequency Features -- Enhancing the MR Neuroimaging by Using the Deep Super-Resolution Reconstruction -- Towards Machine Learning Driven Self-guided Virtual Reality Exposure Therapy based on Arousal State Detection from Multimodal Data -- Convex Hull in Brain Tumor Segmentation -- Informatics Paradigms for Brain and Mental Health Research -- Computer Added Diagnosis Framework for ADHD Detection using Quantitative EEG -- A Machine Learning Approach for Early Detection of Postpartum Depression in Bangladesh -- Epilepsy Detection from EEG Data using a Hybrid CNN-LSTM Model -- Classifying Brain Tumor from MRI Images Using Parallel CNN Model -- Triplet-loss based Siamese Convolutional Neural Network for 4-Way Classification of Alzheimer?s Disease -- Understanding syntax structure of language after a head injury -- A Belief Rule Based Expert System To Diagnose Alzheimer?s disease Using Whole Blood Gene Expression Data -- Feature-selected Graph Spatial Attention Network for Addictive Brain-Networks Identification -- Brain-Machine Intelligence and Brain-Inspired Computing -- Biologically Inspired Neural Path Finding -- A Second-Order Adaptive Social-Behavioural Model for Individual and Duo Motor Learning -- EEG signal classification using Shallow FBCSP ConvNet with a new cropping strategy -- Becoming Attuned To Each Other Over Time: A Computational Neural Agent Model for the Role of Time Lags in Subjective Synchrony Detection and Related Behavioural Adaptivity. 330 $aThis book constitutes the refereed proceedings of the 15th International Conference on Brain Informatics, BI 2022, held as hybrid event in Padua, Italy (in person) and Queensland, Australia (online) in July 2022. The 29 papers were selected from 65 submissions and the main theme of BI 2022 is Brain Science meets Artificial Intelligence with respect to the five tracks: Cognitive and computational foundations of brain science; human information processing systems; brain big data analytics, curation and management; informatics paradigms for brain and mental health research; and brain-machine intelligence and brain inspired computing. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v13406 606 $aArtificial intelligence 606 $aSocial sciences$xData processing 606 $aEducation$xData processing 606 $aComputer engineering 606 $aComputer networks 606 $aArtificial Intelligence 606 $aComputer Application in Social and Behavioral Sciences 606 $aComputers and Education 606 $aComputer Engineering and Networks 615 0$aArtificial intelligence. 615 0$aSocial sciences$xData processing. 615 0$aEducation$xData processing. 615 0$aComputer engineering. 615 0$aComputer networks. 615 14$aArtificial Intelligence. 615 24$aComputer Application in Social and Behavioral Sciences. 615 24$aComputers and Education. 615 24$aComputer Engineering and Networks. 676 $a610.28563 676 $a006.32 702 $aMahmud$b Mufti 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910588599703321 996 $aBrain Informatics$9773781 997 $aUNINA