| Predicting responses to psychedelics: a prospective study ECHM Haijen, M Kaelen, L Roseman, C Timmermann, H Kettner, S Russ, ... Frontiers in pharmacology, 897, 2018 | 255 | 2018 |
| LSD enhances the emotional response to music M Kaelen, FS Barrett, L Roseman, R Lorenz, N Family, M Bolstridge, ... Psychopharmacology 232, 3607-3614, 2015 | 180 | 2015 |
| Externally induced frontoparietal synchronization modulates network dynamics and enhances working memory performance IR Violante, LM Li, DW Carmichael, R Lorenz, R Leech, A Hampshire, ... elife 6, e22001, 2017 | 170 | 2017 |
| LSD modulates music-induced imagery via changes in parahippocampal connectivity M Kaelen, L Roseman, J Kahan, A Santos-Ribeiro, C Orban, R Lorenz, ... European Neuropsychopharmacology 26 (7), 1099-1109, 2016 | 128 | 2016 |
| Cascades and cognitive state: focused attention incurs subcritical dynamics ED Fagerholm, R Lorenz, G Scott, M Dinov, PJ Hellyer, N Mirzaei, ... Journal of Neuroscience 35 (11), 4626-4634, 2015 | 89 | 2015 |
| The Automatic Neuroscientist: A framework for optimizing experimental design with closed-loop real-time fMRI R Lorenz, RP Monti, IR Violante, C Anagnostopoulos, AA Faisal, ... NeuroImage 129, 320-334, 2016 | 87 | 2016 |
| Towards BCI-based implicit control in human–computer interaction TO Zander, J Brönstrup, R Lorenz, LR Krol Advances in Physiological Computing, 67-90, 2014 | 81 | 2014 |
| Bayesian optimization for neuroimaging pre-processing in brain age classification and prediction J Lancaster, R Lorenz, R Leech, JH Cole Frontiers in aging neuroscience 10, 28, 2018 | 77 | 2018 |
| Neuroadaptive Bayesian optimization and hypothesis testing R Lorenz, A Hampshire, R Leech Trends in cognitive sciences 21 (3), 155-167, 2017 | 62 | 2017 |
| Dissociating frontoparietal brain networks with neuroadaptive Bayesian optimization R Lorenz, IR Violante, RP Monti, G Montana, A Hampshire, R Leech Nature communications 9 (1), 1227, 2018 | 56 | 2018 |
| Efficiently searching through large tACS parameter spaces using closed-loop Bayesian optimization R Lorenz, LE Simmons, RP Monti, JL Arthur, S Limal, I Laakso, R Leech, ... Brain stimulation 12 (6), 1484-1489, 2019 | 54 | 2019 |
| Towards a holistic assessment of the user experience with hybrid BCIs R Lorenz, J Pascual, B Blankertz, C Vidaurre Journal of neural engineering 11 (3), 035007, 2014 | 52 | 2014 |
| Real‐time estimation of dynamic functional connectivity networks RP Monti, R Lorenz, RM Braga, C Anagnostopoulos, R Leech, G Montana Human brain mapping 38 (1), 202-220, 2017 | 32* | 2017 |
| Automated task load detection with electroencephalography: towards passive brain–computer interfacing in robotic surgery TO Zander, K Shetty, R Lorenz, DR Leff, LR Krol, AW Darzi, K Gramann, ... Journal of Medical Robotics Research 2 (01), 1750003, 2017 | 31 | 2017 |
| Stopping criteria for boosting automatic experimental design using real-time fMRI with Bayesian optimization R Lorenz, RP Monti, IR Violante, AA Faisal, C Anagnostopoulos, R Leech, ... 5th NIPS Workshop on Machine Learning and Interpretation in Neuroimaging …, 2015 | 30 | 2015 |
| TemplateFlow: FAIR-sharing of multi-scale, multi-species brain models R Ciric, WH Thompson, R Lorenz, M Goncalves, EE MacNicol, ... Nature Methods 19 (12), 1568-1571, 2022 | 26* | 2022 |
| Neuromuscular electrical stimulation induced brain patterns to decode motor imagery C Vidaurre, J Pascual, A Ramos-Murguialday, R Lorenz, B Blankertz, ... Clinical Neurophysiology 124 (9), 1824-1834, 2013 | 26 | 2013 |
| Novel modeling of task vs. rest brain state predictability using a dynamic time warping spectrum: comparisons and contrasts with other standard measures of brain dynamics M Dinov, R Lorenz, G Scott, DJ Sharp, ED Fagerholm, R Leech Frontiers in computational neuroscience 10, 46, 2016 | 16 | 2016 |
| Towards tailoring non-invasive brain stimulation using real-time fMRI and Bayesian optimization R Lorenz, RP Monti, A Hampshire, Y Koush, C Anagnostopoulos, ... Pattern Recognition in NeuroImaging (PRNI), 2016 International Workshop on, 1-4, 2016 | 15 | 2016 |
| Interpretable brain age prediction using linear latent variable models of functional connectivity RP Monti, A Gibberd, S Roy, M Nunes, R Lorenz, R Leech, T Ogawa, ... Plos one 15 (6), e0232296, 2020 | 13 | 2020 |
Robert LeechKing's College LondonVerified email at kcl.ac.uk
