Brain Informatics: 17th International Conference, BI 2024, Bangkok, Thailand, December 1315, 2024, Proceedings, Part I [Mīkstie vāki]

.- Cognitive and Computational Foundations of Brain Science. 



.- Gossamer: Scaling Image Processing and Reconstruction to Whole Brains.



.- Comparison of Haloperidol- Versus Phenazepam-induced Anxiolytic Effect on
Rodent Behavior.



.- Effect of Temporal Correlation on Motion Direction Flips in Bistable
Stimuli.



.- Unveiling the Role of Memory in Shaping Visual Perception: Empirical
Insights.



.- An Auxiliary Diagnosis Method for Mild Cognitive Impairment Based on
Structural Magnetic Resonance Image.



.- The Role of Executive Functions in Emotional Coregulation: Insights from
an Adaptive Network Model.



.- Identification and Evaluation of Multimodal Connectomics in Early
Alzheimer's Dementia.



.- Investigations of Human Information Processing Systems. 



.- Multiscale Temporal-convolution and Attention improved Neural Network for
Biased Mental State Recognition.



.- Sleep Apnea Detection from Single-lead ECG Signal using Hybrid Deep CNN.



.- When Sexy Avatars Get Weird: How Brain Asymmetry and Oculomotor Dynamics
Navigate the Uncanny.



.- Developing a Multi-Site Hyperscanning Procedure for Investigating
Interbrain Synchrony Underlying Remote Social Interaction.



.- Dual-Structural Representation Learning with Attention-Based Graph Fusion
for Hierarchical MCI-AD Diagnosis.



.- Neurocomputational Modelling of EEG Connectivity: Links Between
Depression, Inflammation, and Gut Microbiome.



.- Brain Big Data Analytics, Curation and Management. 



.- Design of an Iterative Method for Integrating Multi-Omic Data and Clinical
Insights in Brain Disease Research.



.- Multimodal Physiological Signal Analysis using Attention-Based Feature and
Model Fusion.



.- Topological and Graph Theoretical Analysis of Dynamic Functional
Connectivity for Autism Spectrum Disorder.



.- Deep Learning Methods to Evaluate Privacy and Quality of Skull-Stripped
Brain Image.



.- Topological Inference for Seizure Lateralization.



.- Explainable GRU with Hybrid Attention and Memory-Augmented Network (xGRAM)
for Cell Types Classification in Alzheimer's Disease Using Single-Nucleus
Transcriptomics.



.- BRAINEX: A Systematic Framework for CNN Models Evaluation and XAI Methods
Comparison in Brain Age Prediction.



.- Replication of the Hermann Grid Illusion By U-Net Deep Learning
Architecture Performing Deblurring: A Low-Level Visual Task.



.- SmartStitcher: A Terabyte-level 3D Microscopic Image Stitching Tool Based
on Mixed-Max-Resolution.



.- Informatics Paradigms for Brain and Mental Health Research. 



.- A Comparison of ANN-Optimization and Logistic Regression? An Example of
the Acceptance of EEG Devices.



.- The Dynamics of Epigenetic Influence in Insomnia: A Higher-Order Adaptive
Modeling Perspective.



.- Higher-order Adaptive Dynamical System Modeling for the Role of
Environmental Neurotoxic Pesticide Paraquat on the Epigenetics of
Neurodegeneration in N27 Dopaminergic Cells.



.- Advancing Mental Health Problems with Machine Learning and Genetic
Algorithms for Anxiety Classification in Bangladeshi University Students.



.- Empirical Insights into the Value of a Novel Compositional Data Approach
for Analyzing Bipolar Likert Scale Data.



.- From Alzheimers Disease to Frontotemporal Dementia: Transfer Learning in
EEG-based Diagnosis of Dementia.



.- Brain-Machine Intelligence and Brain-Inspired Computing. 



.- A Novel Class Incremental Learning Method via Multi-granularity Balance
Inspired by Human Granular Cognition Mechanism.



.- A Computational Model for Estimating NMDA Properties from Local Field
Potential Spectra.



.- Modelleyen: Continual Learning and Planning via Structured Modelling of
Environment Dynamics.



.- Evaluating the Potential of Low-Cost BCI Devices for Online Classification
of Four-Class Motor Imagery States.



.- Gradient Ascent Activity-based Credit Assignment with History-dependent
Reward.



.- EEG Biomarkers based on Microstates and RQA.



.- Evaluating Feature Importance in the Context of Simulation-Based Inference
for Cortical Circuit Parameter Estimation.