- Nalinda D. Liyanagedera, Ali Abdul Hussain, Amardeep Singh, Sunil Lal, Heather Kempton, Hans W. Guesgen:
Common spatial pattern for classification of loving kindness meditation EEG for single and multiple sessions. Brain Informatics 10(1): 24 (2023) - Jenish Maharjan, Anurag Garikipati, Frank A. Dinenno, Madalina G. Ciobanu, Gina Barnes, Ella Browning, Jenna DeCurzio, Qingqing Mao, Ritankar Das:
Machine learning determination of applied behavioral analysis treatment plan type. Brain Informatics 10(1): 7 (2023) - Baraka Jacob Maiseli, Abdi T. Abdalla, Libe V. Massawe, Mercy Mbise, Khadija Mkocha, Nassor Ally Nassor, Moses Ismail, James Michael, Samwel Kimambo:
Brain-computer interface: trend, challenges, and threats. Brain Informatics 10(1): 20 (2023) - Patricia Maraver, Carolina Tecuatl, Giorgio A. Ascoli:
Automatic identification of scientific publications describing digital reconstructions of neural morphology. Brain Informatics 10(1): 23 (2023) - Kirill Milintsevich, Kairit Sirts, Gaël Dias:
Towards automatic text-based estimation of depression through symptom prediction. Brain Informatics 10(1): 4 (2023) - 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 10(1): 22 (2023) - Sharan J. Prakash, Kimberly M. Van Auken, David P. Hill, Paul W. Sternberg:
Semantic representation of neural circuit knowledge in Caenorhabditis elegans. Brain Informatics 10(1): 30 (2023) - Muhammad Arifur Rahman, David J. Brown, Mufti Mahmud, Matthew C. 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 M. Burton, James Lewis:
Enhancing biofeedback-driven self-guided virtual reality exposure therapy through arousal detection from multimodal data using machine learning. Brain Informatics 10(1): 14 (2023) - Janice M. Ranson, Magda Bucholc, Donald Lyall, Danielle Newby, Laura Winchester, Neil P. Oxtoby, Michele Veldsman, Timothy Rittman, Sarah J. Marzi, Nathan G. Skene, Ahmad Al Khleifat, Isabelle F. Foote, Vasiliki Orgeta, Andrey Kormilitzin, Ilianna Lourida, David J. Llewellyn:
Harnessing the potential of machine learning and artificial intelligence for dementia research. Brain Informatics 10(1): 6 (2023) - 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 10(1): 13 (2023) - Alessia Sarica, Federica Aracri, Maria Giovanna Bianco, Fulvia Arcuri, Andrea Quattrone, Aldo Quattrone:
Explainability of random survival forests in predicting conversion risk from mild cognitive impairment to Alzheimer's disease. Brain Informatics 10(1): 31 (2023) - Giacomo Serra, Francesca Mainas, Bruno Golosio, Alessandra Retico, Piernicola Oliva:
Effect of data harmonization of multicentric dataset in ASD/TD classification. Brain Informatics 10(1): 32 (2023) - Matthew R. 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 10(1): 10 (2023) - Shaoyu Wei, Ruiling Zheng, Rui Li, Minghui Shi, Junsong Zhang:
Measuring cognitive load of digital interface combining event-related potential and BubbleView. Brain Informatics 10(1): 8 (2023) - Alexander Hui Xiang Yang, Nikola K. Kasabov, Yusuf Özgür Çakmak:
Prediction and detection of virtual reality induced cybersickness: a spiking neural network approach using spatiotemporal EEG brain data and heart rate variability. Brain Informatics 10(1): 15 (2023) - 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 10(1): 19 (2023) - Di Zang, Xiangyu Zhao, Yuanfang Qiao, Jiayu Huo, Xuehai Wu, Zhe Wang, Zeyu Xu, Ruizhe Zheng, Zengxin Qi, Ying Mao, Lichi Zhang:
Enhanced brain parcellation via abnormality inpainting for neuroimage-based consciousness evaluation of hydrocephalus patients by lumbar drainage. Brain Informatics 10(1): 3 (2023) - 2022
- Swati Agrawal, Vijayakumar Chinnadurai, Rinku Sharma:
Hemodynamic functional connectivity optimization of frequency EEG microstates enables attention LSTM framework to classify distinct temporal cortical communications of different cognitive tasks. Brain Informatics 9(1): 25 (2022) - Kayvan Bijari, Yasmeen Zoubi, Giorgio A. Ascoli:
Assisted neuroscience knowledge extraction via machine learning applied to neural reconstruction metadata on NeuroMorpho.Org. Brain Informatics 9(1): 26 (2022) - Adam Byrne, Emma Bonfiglio, Colin Rigby, Nicky Edelstyn:
A systematic review of the prediction of consumer preference using EEG measures and machine-learning in neuromarketing research. Brain Informatics 9(1): 27 (2022) - Marco Celotto, Stefan Lemke, Stefano Panzeri:
Inferring the temporal evolution of synaptic weights from dynamic functional connectivity. Brain Informatics 9(1): 28 (2022) - Xieling Chen, Gary Cheng, Fu Lee Wang, Xiaohui Tao, Haoran Xie, Lingling Xu:
Machine and cognitive intelligence for human health: systematic review. Brain Informatics 9(1): 5 (2022) - Evgenii Dzhivelikian, Artem Latyshev, Petr Kuderov, Aleksandr I. Panov:
Hierarchical intrinsically motivated agent planning behavior with dreaming in grid environments. Brain Informatics 9(1): 8 (2022) - Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi:
Channel-independent recreation of artefactual signals in chronically recorded local field potentials using machine learning. Brain Informatics 9(1): 1-17 (2022) - Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi, M. Shamim Kaiser:
ABOT: an open-source online benchmarking tool for machine learning-based artefact detection and removal methods from neuronal signals. Brain Informatics 9(1): 19 (2022) - Kostas Georgiadis, Fotis P. Kalaganis, Vangelis P. Oikonomou, Spiros Nikolopoulos, Nikolaos A. Laskaris, Ioannis Kompatsiaris:
RNeuMark: A Riemannian EEG Analysis Framework for Neuromarketing. Brain Informatics 9(1): 22 (2022) - Shuxia Guo, Jie Xue, Jian Liu, Xiangqiao Ye, Yichen Guo, Di Liu, Xuan Zhao, Feng Xiong, Xiaofeng Han, Hanchuan Peng:
Smart imaging to empower brain-wide neuroscience at single-cell levels. Brain Informatics 9(1): 10 (2022) - Manu Kohli, Arpan Kumar Kar, Anjali Bangalore, Prathosh AP:
Machine learning-based ABA treatment recommendation and personalization for autism spectrum disorder: an exploratory study. Brain Informatics 9(1): 16 (2022) - Sanjukta Krishnagopal, Keith Lohse, Robynne Braun:
Stroke recovery phenotyping through network trajectory approaches and graph neural networks. Brain Informatics 9(1): 13 (2022) - Mingai Li, Na Zhang:
A dynamic directed transfer function for brain functional network-based feature extraction. Brain Informatics 9(1): 7 (2022)