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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.- 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.
.- 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.