| Progress in brain computer interface: Challenges and opportunities S Saha, KA Mamun, K Ahmed, R Mostafa, GR Naik, S Darvishi, ... Frontiers in systems neuroscience 15, 578875, 2021 | 350 | 2021 |
| Variability in neural excitability and plasticity induction in the human cortex: a brain stimulation study B Hordacre, MR Goldsworthy, AM Vallence, S Darvishi, B Moezzi, ... Brain stimulation 10 (3), 588-595, 2017 | 123 | 2017 |
| Brain-computer interface analysis using continuous wavelet transform and adaptive neuro-fuzzy classifier S Darvishi, A Al-Ani 2007 29th Annual International Conference of the IEEE Engineering in …, 2007 | 88 | 2007 |
| Proprioceptive feedback facilitates motor imagery-related operant learning of sensorimotor β-band modulation S Darvishi, A Gharabaghi, CB Boulay, MC Ridding, D Abbott, M Baumert Frontiers in neuroscience 11, 60, 2017 | 54 | 2017 |
| Investigating the impact of feedback update interval on the efficacy of restorative brain–computer interfaces S Darvishi, MC Ridding, B Hordacre, D Abbott, M Baumert Royal Society open science 4 (8), 170660, 2017 | 16 | 2017 |
| Reaction time predicts brain–computer interface aptitude S Darvishi, A Gharabaghi, MC Ridding, D Abbott, M Baumert IEEE journal of translational engineering in health and medicine 6, 1-11, 2018 | 14 | 2018 |
| Does feedback modality affect performance of brain computer interfaces? S Darvishi, MC Ridding, D Abbott, M Baumert 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER), 232-235, 2015 | 13 | 2015 |
| Investigation of the trade-off between time window length, classifier update rate and classification accuracy for restorative brain-computer interfaces S Darvishi, M Ridding, D Abbott, M Baumert 35th Annual International Conference of the IEEE EMBS, 1567-1570, 2013 | 12 | 2013 |
| Progress in brain computer interfaces: challenges and trends S Saha, KA Mamun, K Ahmed, R Mostafa, GR Naik, A Khandoker, ... arXiv preprint arXiv:1901.03442, 2021 | 10 | 2021 |
| Progress in brain computer interface: challenges and opportunities. Front Syst Neurosci. 2021; 15: 578875 S Saha, KA Mamun, K Ahmed, R Mostafa, GR Naik, S Darvishi, ... | 9 | 2021 |
| Prediction of motor imagery based brain computer interface performance using a reaction time test S Darvishi, D Abbott, M Baumert 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 5 | 2015 |
| Enhancing poststroke hand movement recovery: Efficacy of RehabSwift, a personalized brain–computer interface system S Darvishi, A Datta Gupta, A Hamilton-Bruce, S Koblar, M Baumert, ... PNAS nexus 3 (7), pgae240, 2024 | 1 | 2024 |
| Feedback Optimization for Restorative Brain-Computer Interfaces S Darvishi | | 2016 |
| Proposing a Novel Feedback Provision Paradigm for Restorative Brain-Computer Interfaces S Darvishi, M Ridding, D Abbott, M Baumert Proceedings of the Fifth International Brain-Computer Interface Meeting 2013 …, 2013 | | 2013 |
| Classification of Motor Imagery EEG Signals using Adaptive Neuro-Fuzzy Inference System Trained by Particle Swarm Optimization S Darvishi, MH Moradi, M Baumert, D Abbott EMBC 2012/ BMBI Workshop, P-4, 2012 | | 2012 |
Mathias BaumertThe University of AdelaideVerified email at adelaide.edu.au
