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ORCIDBrain Informatics, Volume 9
Volume 9, Number 1, December 2022
- Marcos Fabietti, Mufti Mahmud
, Ahmad Lotfi:
Channel-independent recreation of artefactual signals in chronically recorded local field potentials using machine learning. 1-17 - Yan Li, Ning Zhong, David Taniar, Haolan Zhang:
MCGNet+: an improved motor imagery classification based on cosine similarity. 3 - Dor Mizrahi, Ilan Laufer, Inon Zuckerman:
Modeling and predicting individual tacit coordination ability. 4 - Xieling Chen, Gary Cheng, Fu Lee Wang, Xiaohui Tao, Haoran Xie, Lingling Xu:
Machine and cognitive intelligence for human health: systematic review. 5 - Jianxun Ren, Qingyu Hu, Weiwei Wang, Wei Zhang, Catherine S. Hubbard, Pingjia Zhang, Ning An, Ying Zhou, Louisa Dahmani, Danhong Wang, Xiaoxuan Fu, Zhenyu Sun, Yezhe Wang, Ruiqi Wang, Luming Li, Hesheng Liu:
Fast cortical surface reconstruction from MRI using deep learning. 6 - Mingai Li, Na Zhang:
A dynamic directed transfer function for brain functional network-based feature extraction. 7 - Evgenii Dzhivelikian, Artem Latyshev, Petr Kuderov, Aleksandr I. Panov:
Hierarchical intrinsically motivated agent planning behavior with dreaming in grid environments. 8 - Pratusha Reddy, Patricia A. Shewokis, Kurtulus Izzetoglu:
Individual differences in skill acquisition and transfer assessed by dual task training performance and brain activity. 9 - 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. 10 - Ziwei Wang, Paolo Mengoni:
Seizure classification with selected frequency bands and EEG montages: a Natural Language Processing approach. 11 - Yun Wang, Fateme Sadat Haghpanah, Xuzhe Zhang, Katie Santamaria, Gabriela Koch da Costa Aguiar Alves, Elizabeth Bruno, Natalie Aw, Alexis Maddocks, Cristiane S. Duarte, Catherine Monk, Andrew Laine, Jonathan Posner:
ID-Seg: an infant deep learning-based segmentation framework to improve limbic structure estimates. 12 - Sanjukta Krishnagopal, Keith Lohse, Robynne Braun:
Stroke recovery phenotyping through network trajectory approaches and graph neural networks. 13 - Alisha Menon, Anirudh Natarajan, Reva Agashe, Daniel Sun, Melvin Aristio, Harrison Liew, Yakun Sophia Shao, Jan M. Rabaey:
Efficient emotion recognition using hyperdimensional computing with combinatorial channel encoding and cellular automata. 14 - Pankaj Pandey, Richa Tripathi, Krishna Prasad Miyapuram:
Classifying oscillatory brain activity associated with Indian Rasas using network metrics. 15 - Manu Kohli, Arpan Kumar Kar, Anjali Bangalore, Prathosh AP:
Machine learning-based ABA treatment recommendation and personalization for autism spectrum disorder: an exploratory study. 16 - Angela Lombardi, Domenico Diacono, Nicola Amoroso, Przemyslaw Biecek, Alfonso Monaco, Loredana Bellantuono, Ester Pantaleo, Giancarlo Logroscino, Roberto De Blasi, Sabina Tangaro, Roberto Bellotti:
A robust framework to investigate the reliability and stability of explainable artificial intelligence markers of Mild Cognitive Impairment and Alzheimer's Disease. 17 - Monica Moroni, Marco Brondi, Tommaso Fellin, Stefano Panzeri:
SmaRT2P: a software for generating and processing smart line recording trajectories for population two-photon calcium imaging. 18 - 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. 19 - Mario Merone, Sebastian Luca D'Addario, Pierandrea Mirino, Francesca Bertino, Cecilia Guariglia, Rossella Ventura, Adriano Capirchio, Gianluca Baldassarre, Massimo Silvetti, Daniele Caligiore:
A multi-expert ensemble system for predicting Alzheimer transition using clinical features. 20 - Jamal A. Nazari, Ali Motie Nasrabadi, Mohammad Bagher Menhaj, Somayeh Raiesdana:
Epilepsy seizure prediction with few-shot learning method. 21 - Kostas Georgiadis, Fotis P. Kalaganis, Vangelis P. Oikonomou, Spiros Nikolopoulos, Nikolaos A. Laskaris, Ioannis Kompatsiaris:
RNeuMark: A Riemannian EEG Analysis Framework for Neuromarketing. 22 - Devarshi Mukherji, Manibrata Mukherji, Nivedita Mukherji:
Early detection of Alzheimer's disease using neuropsychological tests: a predict-diagnose approach using neural networks. 23 - Alexander Hui Xiang Yang, Nikola K. Kasabov, Yusuf Özgür Çakmak:
Machine learning methods for the study of cybersickness: a systematic review. 24 - 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. 25 - Kayvan Bijari, Yasmeen Zoubi, Giorgio A. Ascoli:
Assisted neuroscience knowledge extraction via machine learning applied to neural reconstruction metadata on NeuroMorpho.Org. 26 - 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. 27 - Marco Celotto, Stefan Lemke, Stefano Panzeri:
Inferring the temporal evolution of synaptic weights from dynamic functional connectivity. 28 - Pushpinder Walia, Yaoyu Fu, Jack Norfleet, Steven D. Schwaitzberg, Xavier Intes, Suvranu De, Lora Cavuoto, Anirban Dutta:
Error-related brain state analysis using electroencephalography in conjunction with functional near-infrared spectroscopy during a complex surgical motor task. 29 - Tritan J. Plute, Dennis D. Spencer, Rafeed Alkawadri:
Age-dependent vestibular cingulate-cerebral network underlying gravitational perception: a cross-sectional multimodal study. 30
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