Human Brain and Artificial Intelligence

Human Brain and Artificial Intelligence

4th International Workshop, HBAI 2024, Jeju Island, South Korea, August 3, 2024, Proceedings

Zeng, An; Wu, Haiyan; Qu, Youzhi; Qi, Yu; Liu, Quanying; Pan, Dan

Springer Nature Switzerland AG

05/2025

431

Mole

9789819640003

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.- 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.
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artificial intelligence;human brain;brain-inspired algorithms;brain computer interface;brain network;machine learning;signal processing;neural decoding;computer vision;visual reconstruction;classification methods;brain disease;disease prediction;neural networks