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Brain informatics : 18th International Conference, BI 2025, Bari, Italy, November 11-13, 2025, Proceedings. Part I / Angela Lombardi, Elvira Brattico, Shuqiang Wang, Hongzhi Kuai, editors
Springer Nature - Springer Computer Science eBooks 2026 English International Available online
View online- Format:
- Book
- Conference/Event
- Conference Name:
- International Conference on Brain Informatics (2025 : Bari, Italy)
- Series:
- Lecture notes in computer science ; 16347.
- Lecture notes in computer science. Lecture notes in artificial intelligence
- Lecture notes in computer science ; 16347
- Lecture notes in artificial intelligence
- Language:
- English
- Subjects (All):
- Neural networks (Computer science)--Congresses.
- Neural networks (Computer science).
- Brain--Physiology--Congresses.
- Brain.
- Computer science--Congresses.
- Computer science.
- Human information processing--Congresses.
- Human information processing.
- Brain--Physiology.
- Genre:
- Conference papers and proceedings
- Physical Description:
- 1 online resource : illustrations
- Other Title:
- BI 2025
- Place of Publication:
- Singapore : Springer, [2026]
- Summary:
- "This book constitutes the proceedings of the 18th International Conference on Brain Informatics, BI 2025, which was held in Bari, Italy, during December 11-13, 2025. The 45 full papers included in this book were carefully reviewed and selected from 129 submissions. They were organized in topical sections as follows: 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; Brain Informatics 2025 Workshop on Web Intelligence meets Brain Informatics; The 4th Workshop on Environmental Adaptation and Mental Health; The International Workshop on Brain Information Mechanisms in Special Populations; The International Workshop on Neural Data Analysis for Brain-Computer Interfaces and Brain Disorders; The Special Session on Spatio-Temporal Brain Data Modelling: New Approaches to Understanding Brain Dynamics"-- Springer Nature Link
- Contents:
- Assessment of memory recall and cognitive health using large language models / Nikita Gautam, George Durrett, Doina Caragea, and Heather Bailey
- Dynamic graphs analysis of EEG / Mohamed Radwan, Pedro G. Lind, and Anis Yazidi
- Time aligned sliding graph embeddings for dynamic time series analysis / Alex Romanova
- Hemispheric differences in local morphology of functional networks during visual word recognition : evidence from multiple AAL atlases / Xiaofei Zhang and Xiang He
- Modeling the adaptive role of environmental influences and epigenetics on seasonal affective disorder / Koen Woortman, Enrico Yang, Zerrin Isik, and Jan Treur
- An adaptive network model of Cotard’s delusion : mapping nihilistic beliefs across neurobiological levels / Gabriele Acquaroli, Anish Autar, Sophie C. F. Hendrikse, and Jan Treur
- What song am I thinking of? Temporal generalization of EEG during music imagery / Pex Tufvesson
- Emotion recognition across wakefulness and sleep using high-density EEG and machine learning techniques / Luis Alfredo Moctezuma, Felix Ipanaque, Yurina Suzuki, Marta Molinas, and Takashi Abe
- Optimizing EEGNet for code-modulated visual evoked potential classification / Hazar Zilelioglu, Alexandre Delaux, Julien Carponcy, Alix Gouret, and Solène Le Bars
- Season-dependent variations in behavioral patterns of freely moving rats, revealed by computer vision / Ilya Kovalenko, Eugenia Ahremenko, Alexandr Andreev, Danila Apushkin, Yuri I. Sysoev, Veronika A. Prikhodko, Sergey Okovitiy, Marina Barulina, and Eduard Korkotian
- Epigenetic influence in Tourette syndrome : a higher-order adaptive network modeling approach / Ilham El Idrissi, Jan Treur, and Sophie C. F. Hendrikse
- UltraDfeGAN : detail-enhancing generative adversarial networks for high-fidelity functional ultrasound synthesis / Zhuo Li, Xuhang Chen, Shuqiang Wang, Bin Yuan, Nou Sotheany, and Ngeth Rithea
- Graph-based personalized medication recommendation using EHR and drug molecular representations / Fangjing, Quan Xuanrui, Xu Hongxia, and Yan Jianzhuo
- EEG-driven music generation with latent discrete diffusion models / Hiromu Fukumoto and Toshiaki Omori
- EEGScope : a framework for the real time acquisition, processing, sonification and analysis of EEG data / Tommaso Colafiglio, Angela Lombardi, Domenico Lofù, Paolo Sorino, Fedelucio Narducci, and Tommaso Di Noia
- Advancing assistive BCIs : ensemble learning for robust RGB-evoked EEG classification in complex visual paradigms / Vegard Omsland, Paal Urdahl, Christopher Chen, Andres Soler, and Marta Molinas
- TS-P2CL : plug-and-play dual contrastive learning for vision-guided medical time series classification / Qi’ao Xu, Pengfei Wang, Bo Zhong, Tianwen Qian, Xiaoling Wang, Ye Wang, and Hong Yu
- Neighbourhood-clipped latent space of VAEs with spatially preserved EEG topographic maps for ocular artefact reduction / Taufique Ahmed and Luca Longo
- A graph neural network approach to study the human connectome in male individuals with autism spectrum disorders / Giuseppe Antonio Motisi, Francesca Lizzi, Francesca Mainas, Gianmarco Tiddia, Sara Calderoni, Piernicola Oliva, and Alessandra Retico
- AlzViTGNet : a hybrid vision transformer and graph convolutional network framework for multiclass Alzheimer’s disease classification from MRI images / Amisha Kumari, Niha Kamal Basha, Noushath Shaffi, Vimbi Viswan, and Mufti Mahmud
- Interpretable MRI-based biomarkers for Alzheimer’s disease classification / H. M. Ali Bhatti, Thomas Borsani, Andrea Rosani, and Giuseppe Di Fatta
- A multimodal deep learning system for Alzheimer’s disease detection with automated clinical feature selection / Md. Siyamul Islam, Md. Mahfuzur Rahman, and Mufti Mahmud
- Exploring cross-modality fusion of neuroimaging and handwriting biomarkers in Parkinson’s disease / Reyhan Zeynep Pek, Sleiman Alhajj, Deniz Bestepe, Tansel Özyer, Ali T. Zirh, M. Kemal Ozdemir, and Reda Alhajj
- Interpretable machine learning for Parkinson’s disease : biomarker-based comparison of EBM and GAMI-Net / Chiara Camastra, Fabiana Novellino, Assunta Pelagi, Gioele Maria Pullano, Andrea Quattrone, and Alessia Sarica
- Frequency bands EEG biomarkers for dementia using graph neural networks / Mohamed Radwan, Pedro G. Lind, and Anis Yazidi
- Brain-inspired fractional convolution for pathological image classification / Lihua Gu, Qun Liu, and Guoyin Wang
- BrainForm : a serious game for BCI training and data collection / Michele Romani, Devis Zanoni, Elisabetta Farella, and Luca Turchet
- EEG-DBNet : a dual-branch network for temporal-spectral decoding in motor-imagery brain-computer interfaces / Xicheng Lou, Xinwei Li, Hongying Meng, and Zhangyong Li
- YANA : bridging the neuromorphic simulation-to-hardware gap / Brian Pachideh, Sven Nitzsche, Moritz Neher, Jann Krausse, Carmen Weigelt, Klaus Knobloch, Victor P. Betancourt, and Juergen Becker
- Adjusting classical BCI paradigms parameters to optimize performance with a wearable dry-electrode EEG device : towards operational conditions / Lucas Benoit, Giulia Lioi, Yassine El Ouahidi, Nicolas Farrugia, Jérémie Mattout, Emmanuel Maby, Clément Bougard, and Julien Dauguet
- SimBRAge : a framework for region-level morphometric simulation for what-if brain age analysis / Angela Lombardi, Carmelo Ardito, Eugenio Di Sciascio, and Tommaso Di Noia
- Notes:
- Includes bibliographical references and index
- Online resource; title from PDF title page (SpringerLink, viewed July 7, 2026).
- Other Format:
- Print version International Conference on Brain Informatics (2025 : Bari, Italy) Brain informatics
- ISBN:
- 9789819595754
- 9819595754
- OCLC:
- 1602485323
- Access Restriction:
- Restricted for use by site license
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