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This book constitutes the proceedings of the 17th International Conference on Brain Informatics, BI 2024, which was held in Bangkok, Thailand, during December 13-15, 2024.
The 35 full papers 17 workshop papers presented in this book were carefully reviewed and selected from 126 submissions. These papers have been organized in the following topical sections:
Pat I- Cognitive and Computational Foundations of Brain Science; Investigations of Human Information Processing Systems; Brain Big Data Analytics, Curation and Management; Informatics Paradigms for Brain and Mental Health Research; Brain-Machine Intelligence and Brain-Inspired Computing.
Part II- The International Workshop on Generative AI Empowers Brain Signal Processing (GAIEBSP 2024); The International Workshop on Web Intelligence meets Brain Informatics (WImeetsBI 2024); The 4th Workshop on Environmental Adaptation and Mental Health (EAMH 2024); The International Workshop on Application of Artificial Intelligence and Innovative Technologies in Brain Informatics and Health (AAIITBIH 2024); The International Workshop on Reconstruction and Modeling of the Brain at the Single-Cell Level (RMBSCL 2024); The International Workshop on Mesoscopic Brain-wide Connectivity Atlas in Brainsmatics (MBCAB 2024); The 4th Special Session on Explainable Artificial Intelligence for Unveiling the Brain: From the Black-Box to the Glass-Box (XAIB 2024); The International Workshop on Elucidation of Mechanistic Information using Neuroimaging for Psychiatric Disorders (EMINPD 2024).
List of contents
.- The International Workshop on Generative AI Empowers Brain Signal Processing.
.- Brain Causality Modeling using Structure-guided Spatiotemporal Diffusion Model for MCI Analysis.
.- Spatiotemporal Feature Extraction and Fusion for Longitudinal Alzheimer's Disease Diagnosis.
.- Intelligent Diagnosis Platform for Alzheimer's Disease Based on Multimodal Knowledge Graph.
.- Federated Multi-source Domain Adaptation via Vision Transformer for Multi-site Alzheimer's Diagnosis.
.- Comparative Analysis of Channel Selection Methods for EEG-Based Emotion Recognition Balancing Accuracy and Efficiency.
.- DoA Assessment based on EEG DFA and Entropy Features.
.- The International Workshop on Web Intelligence meets Brain Informatics.
.- A Multi-loop Reveals Different Neural Mechanisms of Inductive Reasoning in DLPFC and SPL.
.- The 4th Workshop on Environmental Adaptation and Mental Health (EAMH 2024).
.- The Role of Episode Simulation in Influencing Junior Middle School Students' Future Time Insight and Subjective Well-being.
.- Self-determined or Non-self-determined? Research on the Influence of Internal and External Motivations on Fund Investment Decisions.
.- The International Workshop on Application of Artificial Intelligence and Innovative Technologies in Brain Informatics and Health (AAIITBIH 2024).
.- A VR-BCI System to Support Rehabilitation for Stroke Patients.
.- Integrating Multimodal Spatiotemporal Brain Data with Spiking Neural Networks.
.- The International Workshop on Reconstruction and Modeling of the Brain at the Single-Cell Level (RMBSCL 2024).
.- High Throughput Training Label Generation from Whole Brain Images.
.- The International Workshop on Mesoscopic Brain-wide Connectivity Atlas in Brainsmatics (MBCAB2024).
.- Sex Differences in Brain Information Processing: Insights from Specific Brain Regions and Hemispheric Connectivity.
.- The 4th Special Session on Explainable Artificial Intelligence for Unveiling the Brain: From the Black-Box to the Glass-Box (XAIB 2024).
.- Probing Temporal Filters of Vision via a Falsifiable Model of Flicker Fusion.
.- A Convolutional Neural Network with Feature Selection for Generating Explainable 1D Image Information for Brain Disease Diagnosis.
.- The International Workshop on Elucidation of Mechanistic Information using Neuroimaging for Psychiatric Disorders (EMINPD 2024).
.- White Matter Integrity in Youth with Suicide Ideation/Suicide Attempt, Major Depressive Disorder, and Comorbidities: A Diffusion Tensor Imaging Study.
.- Imaging Analysis of Calcium Activities in Brain Organoid Model of Neuropsychiatric Disorder.
