LEADER 06188nam 22006975 450 001 9910999783203321 005 20250419130210.0 010 $a981-9640-01-6 024 7 $a10.1007/978-981-96-4001-0 035 $a(CKB)38537218200041 035 $a(DE-He213)978-981-96-4001-0 035 $a(MiAaPQ)EBC32015012 035 $a(Au-PeEL)EBL32015012 035 $a(EXLCZ)9938537218200041 100 $a20250419d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHuman Brain and Artificial Intelligence $e4th International Workshop, HBAI 2024, Jeju Island, South Korea, August 3, 2024, Proceedings /$fedited by Quanying Liu, Youzhi Qu, Haiyan Wu, Yu Qi, An Zeng, Dan Pan 205 $a1st ed. 2025. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025. 215 $a1 online resource (XII, 422 p. 149 illus., 141 illus. in color.) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v2438 311 08$a981-9640-00-8 327 $a -- AI for Brain Science. -- Comparision of Brain Visual Cortex and CNN Under Continuous Object Property Space. -- CoCoG-2: Controllable Generation of Visual Stimuli for Understanding Human Concept Representation. -- Uncovering Cognitive Taskonomy Through Transfer Learning in Masked Autoencoder-based fMRI Reconstruction. -- Interpersonal Relationship Analysis with Dyadic EEG Signals via Learning Spatial-Temporal Patterns. -- Effect of Music Training in Neural Responses to Emotional Speech Prosody: Insights from EEG and Brain Network Analysis. -- Potential Indicator for Continuous Emotion Arousal by Dynamic Neural Synchrony. -- Exploring EEG-Based Neural Correlates of Multivariate Ordinal Emotion Representations. -- The Co-varying Multimodal Pattern in Treatment-resistant and Non-treatment-resistant Schizophrenia. -- Investigating the Dynamics of Seizure Neuroactivities Using Hidden Markov Model. -- Suppressing Seizure via Optimal Electrical Stimulation to The Hub of Epileptic Brain Network. -- AI for Brain Technology. -- SVFormer: A Direct Training Spiking Transformer for Efficient Video Action Recognition. -- BL-BERT: Extracting Body Language from Behavior Sequences in Freely Moving Mice. -- Benchmarking Neural Decoding Backbones towards Enhanced On-edge iBCI Applications. -- Enhanced Local Attention with Deep Neural Networks for EEG Decoding. -- Mirror Contrastive Loss Based Sliding Window Transformer for Subject-independent Motor Imagery Based EEG Signal Recognition. -- Active Urinary Detection using EEG Based on FBCNet. -- D2CAN: Domain-guided Contrastive Adversarial Network for EEG-based Cross-subject Cognitive Workload Decoding. -- Group-specific Fusion Model and its Application in Identifying Multimodal Co-varying Diagnostic Patterns for Psychiatric Disorders. -- Multi-category Brain Tumor Segmentation via Multi-scale and Cross-category Relation Modeling. -- Consistent Brain Age Difference in Childhood Autism Spectrum Disorder and its Subtypes. -- Brain-Aware Readout Layers in GNNs: Advancing Alzheimer's early Detection and Neuroimaging. -- TSICNet: Importance of Connectome Information for Epilepsy Classification. -- Brain-inspired AI. -- A Brain-Inspired Distributed Long-Term Memory Guided Online Continual Learning Method. -- Memory Sequence Length of Data Sampling Impacts the Adaptation of Meta-Reinforcement Learning Agents. -- Parameter-Efficient Fine-Tuning of ChatGLM to Mitigate Hallucinations in Chinese Abstractive Summarization. -- TUN-GCA: A Novel Approach for Organ Segmentation in Nasopharyngeal Carcinoma CT Images. -- Convolutional Neural Networks Based on Axial Counting Attention for Deburring Cross-sectional Images of Aluminum Profiles. -- Assessing the Feasibility of using AI Models to Simplify Brain Imaging Reports for Patients: A Comparative Analysis of Four Large Language Models. -- How Do Transformers Integrate Meanings? An Investigation Using Interpretable Brain-Based Componential Semantics in Two-Word Phrases. 330 $aThis book constitutes the refereed proceedings of the 4th International Workshop on Human Brain and Artificial Intelligence, HBAI 2024, held in Jeju Island, South Korea, on August 3, 2024. The 24 full papers and 5 short papers included in this book were carefully reviewed andselected from 74 submissions. They were organized in topical sections as follows: AI for brain science; AI for brain technology; and brain-inspired AI. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v2438 606 $aArtificial intelligence 606 $aApplication software 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aComputer science$xMathematics 606 $aArtificial Intelligence 606 $aComputer and Information Systems Applications 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aMathematics of Computing 615 0$aArtificial intelligence. 615 0$aApplication software. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aComputer science$xMathematics. 615 14$aArtificial Intelligence. 615 24$aComputer and Information Systems Applications. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aMathematics of Computing. 676 $a006.3 702 $aLiu$b Quanying$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aQu$b Youzhi$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWu$b Haiyan$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aQi$b Yu$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZeng$b An$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPan$b Dan$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910999783203321 996 $aHuman Brain and Artificial Intelligence$92994628 997 $aUNINA