001448886 000__ 06410cam\a2200661\i\4500 001448886 001__ 1448886 001448886 003__ OCoLC 001448886 005__ 20230310004302.0 001448886 006__ m\\\\\o\\d\\\\\\\\ 001448886 007__ cr\cn\nnnunnun 001448886 008__ 220825s2022\\\\sz\\\\\\o\\\\\101\0\eng\d 001448886 019__ $$a1341985914 001448886 020__ $$a9783031150371$$q(electronic bk.) 001448886 020__ $$a3031150376$$q(electronic bk.) 001448886 020__ $$z9783031150364 001448886 020__ $$z3031150368 001448886 0247_ $$a10.1007/978-3-031-15037-1$$2doi 001448886 035__ $$aSP(OCoLC)1342109382 001448886 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dOCLCF$$dOCLCQ 001448886 049__ $$aISEA 001448886 050_4 $$aQA76.87 001448886 08204 $$a006.3/2$$223/eng/20220825 001448886 1112_ $$aInternational Conference on Brain Informatics$$n(15th :$$d2022 :$$cPadua, Italy ; Online) 001448886 24510 $$aBrain informatics :$$b15th International Conference, BI 2022, Padua, Italy, July 15-17, 2022, proceedings /$$cMufti Mahmud, JIng He, Stefano Vassanelli, Andre van Zundert, Ning Zhong (eds.). 001448886 2463_ $$aBI 2022 001448886 264_1 $$aCham, Switzerland :$$bSpringer,$$c2022. 001448886 300__ $$a1 online resource. 001448886 336__ $$atext$$btxt$$2rdacontent 001448886 337__ $$acomputer$$bc$$2rdamedia 001448886 338__ $$aonline resource$$bcr$$2rdacarrier 001448886 4901_ $$aLecture notes in artificial intelligence 001448886 4901_ $$aLecture notes in computer science ;$$v13406 001448886 4901_ $$aLNCS sublibrary. SL 7, Artificial Intelligence 001448886 500__ $$aIncludes author index. 001448886 5050_ $$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 Parkinsons 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 Alzheimers Disease -- Understanding syntax structure of language after a head injury -- A Belief Rule Based Expert System To Diagnose Alzheimers 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. 001448886 506__ $$aAccess limited to authorized users. 001448886 520__ $$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. 001448886 588__ $$aDescription based on print version record. 001448886 650_0 $$aNeural networks (Computer science)$$vCongresses. 001448886 650_0 $$aHuman information processing$$vCongresses. 001448886 650_0 $$aArtificial intelligence$$xMedical applications$$vCongresses. 001448886 655_0 $$aElectronic books. 001448886 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772 001448886 7001_ $$aMahmud, Mufti,$$eeditor. 001448886 7001_ $$aHe, Jing$$c(Computer engineer),$$eeditor. 001448886 7001_ $$aVassanelli, Stefano,$$eeditor. 001448886 7001_ $$avan Zundert, Andre,$$eeditor. 001448886 7001_ $$aZhong, Ning,$$d1956-$$eeditor.$$1https://isni.org/isni/0000000110619534 001448886 77608 $$iPrint version:$$aInternational Conference on Brain Informatics (15th : 2022 : Padua, Italy), creator.$$tBrain informatics.$$dCham : Springer, 2022$$z9783031150364$$w(OCoLC)1338666305 001448886 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence. 001448886 830_0 $$aLecture notes in computer science ;$$v13406. 001448886 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence. 001448886 852__ $$bebk 001448886 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-15037-1$$zOnline Access$$91397441.1 001448886 909CO $$ooai:library.usi.edu:1448886$$pGLOBAL_SET 001448886 980__ $$aBIB 001448886 980__ $$aEBOOK 001448886 982__ $$aEbook 001448886 983__ $$aOnline 001448886 994__ $$a92$$bISE