Matthew Squires, Xiaohui Tao, Soman Elangovan, Raj Gururajan, Xujuan Zhou, U Rajendra Acharya, Yuefeng Li. Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatment.Brain informatics. 2023, 10 (1): 10
Christian Goelz, Eva-Maria Reuter, Stephanie Fröhlich, Julian Rudisch, Ben Godde, Solveig Vieluf, Claudia Voelcker-Rehage. Classification of age groups and task conditions provides additional evidence for differences in electrophysiological correlates of inhibitory control across the lifespan.Brain informatics. 2023, 10 (1): 11
Cécile Gauthier-Umaña, Mario Valderrama, Alejandro Múnera, Mauricio O Nava-Mesa. BOARD-FTD-PACC: a graphical user interface for the synaptic and cross-frequency analysis derived from neural signals.Brain informatics. 2023, 10 (1): 12
Francisco Salto, Carmen Requena, Paula Alvarez-Merino, Víctor Rodríguez, Jesús Poza, Roberto Hornero. Electrical analysis of logical complexity: an exploratory eeg study of logically valid/invalid deducive inference.Brain informatics. 2023, 10 (1): 13
Muhammad Arifur Rahman, David J Brown, Mufti Mahmud, Matthew Harris, Nicholas Shopland, Nadja Heym, Alexander Sumich, Zakia Batool Turabee, Bradley Standen, David Downes, Yangang Xing, Carolyn Thomas, Sean Haddick, Preethi Premkumar, Simona Nastase, Andrew Burton, James Lewis. Enhancing biofeedback-driven self-guided virtual reality exposure therapy through arousal detection from multimodal data using machine learning.Brain informatics. 2023, 10 (1): 14
Alexander Hui Xiang Yang, Nikola Kirilov Kasabov, Yusuf Ozgur Cakmak. Prediction and detection of virtual reality induced cybersickness: a spiking neural network approach using spatiotemporal EEG brain data and heart rate variability.Brain informatics. 2023, 10 (1): 15
Sophie Adama, Martin Bogdan. Assessing consciousness in patients with disorders of consciousness using soft-clustering.Brain informatics. 2023, 10 (1): 16
Akhilesh Deep Arya, Sourabh Singh Verma, Prasun Chakarabarti, Tulika Chakrabarti, Ahmed A Elngar, Ali-Mohammad Kamali, Mohammad Nami. A systematic review on machine learning and deep learning techniques in the effective diagnosis of Alzheimer's disease.Brain informatics. 2023, 10 (1): 17
Hui Yen Yap, Yun-Huoy Choo, Zeratul Izzah Mohd Yusoh, Wee How Khoh. An evaluation of transfer learning models in EEG-based authentication.Brain informatics. 2023, 10 (1): 19
Jie Pan, Zilong Zhang, Steven Ray Peters, Shabnam Vatanpour, Robin L Walker, Seungwon Lee, Elliot A Martin, Hude Quan. Cerebrovascular disease case identification in inpatient electronic medical record data using natural language processing.Brain informatics. 2023, 10 (1): 22