- Nalinda D. Liyanagedera, Corinne A. Bareham, Heather Kempton, Hans W. Guesgen. Novel machine learning-driven comparative analysis of CSP, STFT, and CSP-STFT fusion for EEG data classification across multiple meditation and non-meditation sessions in BCI pipeline. Brain Informatics, 12(1):4, December 2025.
- René Lehmann, Bodo Vogt. Breakdown of the compositional data approach in psychometric Likert scale big data analysis: about the loss of statistical power of two-sample t-tests applied to heavy-tailed big data. Brain Informatics, 12(1):9, December 2025.
- Xiaojia Wang, Dayang Wu, Chunfeng Yang. Localization of epileptic foci from intracranial EEG using the GRU-GC algorithm. Brain Informatics, 12(1):6, December 2025.
- Gauttam Jangir, Nisheeth Joshi, Gaurav Purohit. Harnessing the synergy of statistics and deep learning for BCI competition 4 dataset 4: a novel approach. Brain Informatics, 12(1):5, December 2025.
- Matthew Littman, Huy Binh Nguyen, Joanna Campbell, Katelyn R. Keyloun. Treatment journey clustering with a novel kernel k-means machine learning algorithm: a retrospective analysis of insurance claims in bipolar I disorder. Brain Informatics, 12(1):12, December 2025.
- XiaoFu He, Yian Wang, Yutong Gao, Xuchen Wang, Zhixiong Sun, Huixiang Zhu, Kam W. Leong, Bin Xu. CalciumZero: a toolbox for fluorescence calcium imaging on iPSC derived brain organoids. Brain Informatics, 12(1):2, December 2025.
- Yan Xian, Hong Yu, Ye Wang, Guoyin Wang. Exploring multi-granularity balance strategy for class incremental learning via three-way granular computing. Brain Informatics, 12(1):7, December 2025.
- Shagufta Iftikhar, Nadeem Anjum, Abdul Basit Siddiqui, Masood Ur Rehman 0001, Naeem Ramzan. Explainable CNN for brain tumor detection and classification through XAI based key features identification. Brain Informatics, 12(1):10, December 2025.
- Opeyemi Lateef Usman, Ravie Chandren Muniyandi, Khairuddin Omar, Mazlyfarina Mohamad, Ayoade Akeem Owoade, Morufat Adebola Kareem. HoRNS-CNN model: an energy-efficient fully homomorphic residue number system convolutional neural network model for privacy-preserving classification of dyslexia neural-biomarkers. Brain Informatics, 12(1):11, December 2025.
- Maryam Akhavan Aghdam, Serdar Bozdag, Fahad Saeed. Machine-learning models for Alzheimer's disease diagnosis using neuroimaging data: survey, reproducibility, and generalizability evaluation. Brain Informatics, 12(1):8, December 2025.