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ORCIDBI 2025: Bari, Italy - Part I
- Angela Lombardi
, Elvira Brattico, Shuqiang Wang, Hongzhi Kuai:
Brain Informatics - 18th International Conference, BI 2025, Bari, Italy, November 11-13, 2025, Proceedings, Part I. Lecture Notes in Computer Science 16347, Springer 2026, ISBN 978-981-95-9574-7
Cognitive and Computational Foundations of Brain Science
- Nikita Gautam, George Durrett, Doina Caragea, Heather Bailey:
Assessment of Memory Recall and Cognitive Health Using Large Language Models. 3-16 - Mohamed Radwan, Pedro G. Lind, Anis Yazidi:
Dynamic Graphs Analysis of EEG. 17-35 - Alex Romanova:
Time Aligned Sliding Graph Embeddings for Dynamic Time Series Analysis. 36-47 - Xiaofei Zhang, Xiang He:
Hemispheric Differences in Local Morphology of Functional Networks During Visual Word Recognition: Evidence from Multiple AAL Atlases. 48-58 - Koen Woortman, Enrico Yang, Zerrin Isik, Jan Treur:
Modeling the Adaptive Role of Environmental Influences and Epigenetics on Seasonal Affective Disorder. 59-71 - Gabriele Acquaroli, Anish Autar, Sophie C. F. Hendrikse, Jan Treur:
An Adaptive Network Model of Cotard's Delusion: Mapping Nihilistic Beliefs Across Neurobiological Levels. 72-84
Investigations of Human Information Processing Systems
- Pex Tufvesson:
What Song am I Thinking of? Temporal Generalization of EEG During Music Imagery. 87-98 - Luis Alfredo Moctezuma, Felix Ipanaque, Yurina Suzuki, Marta Molinas, Takashi Abe:
Emotion Recognition Across Wakefulness and Sleep Using High-Density EEG and Machine Learning Techniques. 99-109 - Hazar Zilelioglu, Alexandre Delaux, Julien Carponcy, Alix Gouret, Solène Le Bars:
Optimizing EEGNet for Code-Modulated Visual Evoked Potential Classification. 110-122 - Ilya Kovalenko, Eugenia Ahremenko, Alexandr Andreev, Danila Apushkin, Yuri I. Sysoev, Veronika A. Prikhodko, Sergey Okovitiy, Marina A. Barulina, Eduard Korkotian:
Season-Dependent Variations in Behavioral Patterns of Freely Moving Rats, Revealed by Computer Vision. 123-137 - Ilham El Idrissi, Jan Treur, Sophie C. F. Hendrikse:
Epigenetic Influence in Tourette Syndrome: A Higher-Order Adaptive Network Modeling Approach. 138-150
Brain Big Data Analytics, Curation and Management
- Zhuo Li, Xuhang Chen, Shuqiang Wang, Bin Yuan, Sotheany Nou, Ngeth Rithea:
UltraDfeGAN: Detail-Enhancing Generative Adversarial Networks for High-Fidelity Functional Ultrasound Synthesis. 153-164 - Fangjing, Quan Xuanrui, Hongxia Xu, Jianzhuo Yan:
Graph-Based Personalized Medication Recommendation Using EHR and Drug Molecular Representations. 165-176 - Hiromu Fukumoto, Toshiaki Omori:
EEG-Driven Music Generation with Latent Discrete Diffusion Models. 177-187 - Tommaso Colafiglio, Angela Lombardi, Domenico Lofù, Paolo Sorino, Fedelucio Narducci, Tommaso Di Noia:
EEGScope: A Framework for the Real Time Acquisition, Processing, Sonification and Analysis of EEG Data. 188-204 - Vegard Omsland, Paal Urdahl, Christopher Chen, Andrés Felipe Soler, Marta Molinas:
Advancing Assistive BCIs: Ensemble Learning for Robust RGB-Evoked EEG Classification in Complex Visual Paradigms. 205-217 - Qi'ao Xu, Pengfei Wang, Bo Zhong, Tianwen Qian, Xiaoling Wang, Ye Wang, Hong Yu:
TS-P2CL: Plug-and-Play Dual Contrastive Learning for Vision-Guided Medical Time Series Classification. 218-231 - Taufique Ahmed, Luca Longo:
Neighbourhood-Clipped Latent Space of VAEs with Spatially Preserved EEG Topographic Maps for Ocular Artefact Reduction. 232-243
Informatics Paradigms for Brain and Mental Health Research
- Giuseppe Antonio Motisi, Francesca Lizzi, Francesca Mainas, Gianmarco Tiddia, Sara Calderoni, Piernicola Oliva, Alessandra Retico:
A Graph Neural Network Approach to Study the Human Connectome in Male Individuals with Autism Spectrum Disorders. 247-258 - Amisha Kumari, Niha Kamal Basha, Noushath Shaffi, Vimbi Viswan, Mufti Mahmud:
AlzViTGNet: A Hybrid Vision Transformer and Graph Convolutional Network Framework for Multiclass Alzheimer's Disease Classification from MRI Images. 259-270 - H. M. Ali Bhatti, Thomas Borsani, Andrea Rosani, Giuseppe Di Fatta:
Interpretable MRI-Based Biomarkers for Alzheimer's Disease Classification. 271-282 - Md. Siyamul Islam, Md. Mahfuzur Rahman, Mufti Mahmud:
A Multimodal Deep Learning System for Alzheimer's Disease Detection with Automated Clinical Feature Selection. 283-295 - Reyhan Zeynep Pek, Sleiman Alhajj, Deniz Bestepe, Tansel Özyer, Ali T. Zirh, Mehmet Kemal Özdemir, Reda Alhajj:
Exploring Cross-Modality Fusion of Neuroimaging and Handwriting Biomarkers in Parkinson's Disease. 296-310 - Chiara Camastra, Fabiana Novellino, Assunta Pelagi, Gioele Maria Pullano, Andrea Quattrone, Alessia Sarica:
Interpretable Machine Learning for Parkinson's Disease: Biomarker-Based Comparison of EBM and GAMI-Net. 311-321 - Mohamed Radwan, Pedro G. Lind, Anis Yazidi:
Frequency Bands EEG Biomarkers for Dementia Using Graph Neural Networks. 322-338
Brain-Machine Intelligence and Brain-Inspired Computing
- Lihua Gu, Qun Liu, Guoyin Wang:
Brain-Inspired Fractional Convolution for Pathological Image Classification. 341-353 - Michele Romani, Devis Zanoni, Elisabetta Farella, Luca Turchet:
BrainForm: A Serious Game for BCI Training and Data Collection. 354-368 - Xicheng Lou, Xinwei Li, Hongying Meng, Zhangyong Li:
EEG-DBNet: A Dual-Branch Network for Temporal-Spectral Decoding in Motor-Imagery Brain-Computer Interfaces. 369-380 - Brian Pachideh, Sven Nitzsche, Moritz Neher, Jann Krausse, Carmen Weigelt, Klaus Knobloch, Victor Pazmino Betancourt, Jürgen Becker:
YANA: Bridging the Neuromorphic Simulation-to-Hardware Gap. 381-392 - Lucas Benoit, Giulia Lioi, Yassine El Ouahidi, Nicolas Farrugia, Jérémie Mattout, Emmanuel Maby, Clément Bougard, Julien Dauguet:
Adjusting Classical BCI Paradigms Parameters to Optimize Performance with a Wearable Dry-Electrode EEG Device: Towards Operational Conditions. 393-412 - Angela Lombardi, Carmelo Ardito, Eugenio Di Sciascio, Tommaso Di Noia:
SimBRAge: A Framework for Region-Level Morphometric Simulation for What-If Brain Age Analysis. 413-426
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