| LSD enhances the emotional response to music M Kaelen, FS Barrett, L Roseman, R Lorenz, N Family, M Bolstridge, ... Psychopharmacology 232 (19), 3607-3614, 2015 | 101 | 2015 |
| 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 | 67 | 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 | 65 | 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 | 64 | 2017 |
| 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 | 58 | 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 | 54 | 2014 |
| Predicting responses to psychedelics: a prospective study ECHM Haijen, M Kaelen, L Roseman, C Timmermann, H Kettner, S Russ, ... Frontiers in pharmacology 9, 897, 2018 | 39 | 2018 |
| 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 | 35 | 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 | 33 | 2018 |
| Neuroadaptive Bayesian optimization and hypothesis testing R Lorenz, A Hampshire, R Leech Trends in cognitive sciences 21 (3), 155-167, 2017 | 33 | 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), 1-14, 2018 | 29 | 2018 |
| 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 | 21* | 2017 |
| 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 | 19* | 2019 |
| 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 | 19 | 2015 |
| 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 | 17 | 2017 |
| 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 | 16 | 2013 |
| 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 | 11 | 2016 |
| Graph embeddings of dynamic functional connectivity reveal discriminative patterns of task engagement in HCP data R Monti, R Lorenz, P Hellyer, R Leech, C Anagnostopoulos, G Montana 2015 International Workshop on Pattern Recognition in NeuroImaging, 1-4, 2015 | 11 | 2015 |
| 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 | 10 | 2016 |
| Decoding time-varying functional connectivity networks via linear graph embedding methods RP Monti, R Lorenz, P Hellyer, R Leech, C Anagnostopoulos, G Montana Frontiers in computational neuroscience 11, 14, 2017 | 7 | 2017 |
Robert LeechKing's College LondonVerified email at kcl.ac.uk
