Publikationen von R Lorenz

Dermody, N.; Lorenz, R.; Goddard, E.; Villringer, A.; Woolgar, A.: Spatial and feature-selective attention interact to drive selective coding in frontoparietal cortex. Neuropsychologia 216, 109172 (2025)

Chaimow, D.; Lorenz, R.; Weiskopf, N.: Closed-loop fMRI at the mesoscopic scale of columns and layers: Can we do it and why would we want to? Philosophical Transactions of the Royal Society of London, Series B: Biological Sciences 379 (1915), 20230085 (2024)

Langer, N.; Weber, M.; Hebling Vieira, B.; Strzelczyk, D.; Wolf, L.; Pedroni, A.; Heitz, J.; Müller, S.; Schultheiss, C.; Troendle, M. et al.; Arango Lasprilla, J.; Rivera, D.; Scarpina, F.; Zhao, Q.; Leuthold, R.; Wehrle, F.; Jenni, O.; Brugger, P.; Zaehle, T.; Lorenz, R.; Zhang, C.: A deep learning approach for automated scoring of the Rey–Osterrieth complex figure. eLife 13, RP9601 (2024)

Degutis, J.; Chaimow, D.; Haenelt, D.; Assem, M.; Duncan, J.; Haynes, J.-D.; Weiskopf, N.; Lorenz, R.: Dynamic layer-specific processing in the prefrontal cortex during working memory. Communications Biology 7 (1), 1140 (2024)

Kurtin, D.; Araña‐Oiarbide, G.; Lorenz, R.; Violante, I.; Hampshire, A.: Planning ahead: Predictable switching recruits task‐active and resting‐state networks. Human Brain Mapping 44 (15), S. 5030 - 5046 (2023)

Soleimani, G.; Nitsche, M.; Bergmann, T.; Towhidkhah, F.; Violante, I.; Lorenz, R.; Kuplicki, R.; Tsuchiyagaito, A.; Mulyana, B.; Mayeli, A. et al.; Ghobadi-Azbari, P.; Mosayebi-Samani, M.; Zilverstand, A.; Paulus, M.; Bikson, M.; Ekhtiari, H.: Closing the loop between brain and electrical stimulation: towards precision neuromodulation treatments. Translational Psychiatry 13 (279) (2023)

Ciric, R.; Thompson, W.; Lorenz, R.; Goncalves, M.; MacNicol, E.; Markiewicz , C.; Halchenko , Y.; Ghosh , S.; Gorgolewski , K.; Poldrack , R. et al.; Esteban , O.: TemplateFlow: FAIR-sharing of multi-scale, multi-species brain models. Nature Methods (19), S. 1568 - 1571 (2022)

Ouyang, G.; Dien, J.; Lorenz, R.: Handling EEG artifacts and searching individually optimal experimental parameter in real time: A system development and demonstration. Journal of Neural Engineering 19 (1), 016016 (2022)

Lorenz, R.; Johal, M.; Dick, F.; Hampshire, A.; Leech, R.; Geranmayeh, F.: A Bayesian optimization approach for rapidly mapping residual network function in stroke. Brain 144 (7), S. 2120 - 2134 (2021)

Monti, R. P.; Gibberd, A.; Roy, S.; Nunes, M.; Lorenz, R.; Lorenz, R.; Leech, R.; Ogawa, T.; Kawanabe, M.; Hyvärinen, A.: Interpretable brain age prediction using linear latent variable models of functional connectivity. PLoS One 15 (6), S. 1 - 25 (2020)

Lorenz, R.; Monti, R.; Simmons, L.; Arthur, J.; Limal, S.; Laakso, I.; Leech, R.; Violante, I.: Efficiently searching through large tACS parameter spaces using closed-loop Bayesian optimization. Brain Stimulation 12 (6), S. 1484 - 1489 (2019)

Cole, J.; Lorenz, R.; Geranmayeh, F.; Wood, T.; Hellyer, P.; Williams, S.; Turkheimer, F.; Leech, R.: Active acquisition for multimodal neuroimaging. Wellcome Open Research 3, 145 (2019)

Haijen, E.; Kaelen, M.; Roseman, L.; Timmermann, C.; Kettner, H.; Russ, S.; Nutt, D.; Daws, R.; Hampshire, A.; Lorenz, R. et al.; Carhart-Harris, R.: Predicting Responses to Psychedelics: A Prospective Study. Frontiers in Pharmacology 9, S. 1 - 20 (2018)

Lancaster, J.; Lorenz, R.; Leech, R.; Cole, J.: Bayesian Optimization for Neuroimaging Pre-processing in Brain Age Classification and Prediction. Frontiers in Aging Neuroscience 10, S. 1 - 10 (2018)

Monti, R.; Lorenz, R.; Hellyer, P.; Leech, R.; Anagnostopoulos, C.; Montana, G.: Decoding Time-Varying Functional Connectivity Networks via Linear Graph Embedding Methods. Frontiers in Computational Neuroscience 11, 14, S. 1 - 12 (2017)

Violante, I.; Li, L.; Carmichael, D.; Lorenz, R.; Leech, R.; Hampshire, A.; Rothwell, J.; Sharp, D.: Externally induced frontoparietal synchronization modulates network dynamics and enhances working memory performance. eLife 6, S. 1 - 22 (2017)

Monti, R.; Lorenz, R.; Braga, R.; Anagnostopoulos, C.; Leech, R.; Montana, G.: Real-time estimation of dynamic functional connectivity networks. Human Brain Mapping 38 (1), S. 202 - 220 (2016)

Lorenz, R.; Monti, R.; Violante, I.; Anagnostopoulos, C.; Faisal, A.; Montana, G.; Leech, R.: The Automatic Neuroscientist: A framework for optimizing experimental design with closed-loop real-time fMRI. NeuroImage 129, S. 320 - 334 (2016)

Lorenz, R.; Pascual, J.; Blankertz, B.; Vidaurre, C.: Towards a holistic assessment of the user experience with hybrid BCIs. Journal of Neural Engineering 11 (3), S. 1 - 10 (2014)

da Costa, P.; Popescu, F.; Leech, R.; Lorenz, R.: Elucidating Cognitive Processes Using LSTMs. In: Conference on Cognitive Computational Neuroscience (CCN 2019), PS-1A.16, S. 272 - 275. Conference on Cognitive Computational Neuroscience (CCN 2019), Berlin, Germany, 13. September 2019 - 16. September 2019. (2019)