Cognitive Neuroscience & Neurotechnology
- Lorenz R, Johal M, Dick F, Hampshire A, Leech R & Geranmayeh F (2021). A Bayesian optimisation approach for rapidly mapping residual network function in stroke. Brain, 144:2120-2134, doi:10.1093/brain/awab10
- Lorenz R, Simmons L, Monti RP, Arthur J, Limal S, Leech R & Violante IR (2019). Efficiently searching through large tACS parameter spaces using closed-loop Bayesian optimization. Brain Stimulation, 12(6), 1484-1489, doi: 10.1016/j.brs.2019.07.003
- Lorenz R, Violante IR, Monti RP, Montana G, Hampshire A & Leech R (2018). Dissociating frontoparietal networks using neuroadaptive Bayesian optimization. Nature Communications, 9(1): 1227, doi: 10.1038/s41467-018-03657-3
- Lorenz R, Hampshire A & Leech R (2017). Neuroadaptive Bayesian optimization and hypothesis testing. Trends in Cognitive Sciences, 21(3): 155-167, doi: 10.1016/j.tics.2017.01.006
- Lorenz R, Monti RP, Violante IR, Anagnostopoulos C, Faisal AA, Montana G & Leech R (2016). The Automatic Neuroscientist: A framework for optimizing experimental design with closed-loop real-time fMRI. NeuroImage 129: 320-334, doi: 10.1016/j.neuroimage.2016.01.032
DL Kurtin, G Araña‐Oiarbide, R Lorenz, IR Violante, and A Hampshire, "Planning ahead: Predictable switching recruits task‐active and resting‐state networks," Human Brain Mapping 44 (15), 5030-5046 (2023).
G Soleimani, MA Nitsche, TO Bergmann, F Towhidkhah, IR Violante, R Lorenz, R Kuplicki, A Tsuchiyagaito, B Mulyana, A Mayeli, P Ghobadi-Azbari, M Mosayebi-Samani, A Zilverstand, MP Paulus, M Bikson, and H Ekhtiari, "Closing the loop between brain and electrical stimulation: towards precision neuromodulation treatments," Translational Psychiatry 13 (279) (2023).
R Ciric, WH Thompson, R Lorenz, M Goncalves, E MacNicol, CJ Markiewicz , YO Halchenko , SS Ghosh , KJ Gorgolewski , RA Poldrack , and O Esteban , "TemplateFlow: FAIR-sharing of multi-scale, multi-species brain models," Nature Methods (19), 1568-1571 (2022).
G Ouyang, J Dien, and R Lorenz, "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).
R Lorenz, M Johal, F Dick, A Hampshire, R Leech, and F Geranmayeh, "A Bayesian optimization approach for rapidly mapping residual network function in stroke," Brain 144 (7), 2120-2134 (2021).
R. P. Monti, A. Gibberd, S. Roy, M. Nunes, R. Lorenz, R Lorenz, R. Leech, T. Ogawa, M. Kawanabe, and A. Hyvärinen, "Interpretable brain age prediction using linear latent variable models of functional connectivity," PLoS One 15 (6), 1-25 (2020).
R Lorenz, RP Monti, LE Simmons, JL Arthur, S Limal, I Laakso, R Leech, and IR Violante, "Efficiently searching through large tACS parameter spaces using closed-loop Bayesian optimization," Brain Stimulation 12 (6), 1484-1489 (2019).
JH Cole, R Lorenz, F Geranmayeh, T Wood, P Hellyer, S Williams, F Turkheimer, and R Leech, "Active acquisition for multimodal neuroimaging," Wellcome Open Research 3, 145 (2019).
ECHM Haijen, M Kaelen, L Roseman, C Timmermann, H Kettner, S Russ, D Nutt, RE Daws, ADG Hampshire, R Lorenz, and RL Carhart-Harris, "Predicting Responses to Psychedelics: A Prospective Study," Frontiers in Pharmacology 9, 1-20 (2018).
J Lancaster, R Lorenz, R Leech, and JH Cole, "Bayesian Optimization for Neuroimaging Pre-processing in Brain Age Classification and Prediction," Frontiers in Aging Neuroscience 10, 1-10 (2018).
R. Monti, R Lorenz, P Hellyer, R Leech, C Anagnostopoulos, and G Montana, "Decoding Time-Varying Functional Connectivity Networks via Linear Graph Embedding Methods," Frontiers in Computational Neuroscience 11, 1-12 (2017).
IR Violante, LM Li, DW Carmichael, R Lorenz, R Leech, A Hampshire, JC Rothwell, and DJ Sharp, "Externally induced frontoparietal synchronization modulates network dynamics and enhances working memory performance," eLife 6, 1-22 (2017).
RP Monti, R Lorenz, RM Braga, C Anagnostopoulos, R Leech, and G Montana, "Real-time estimation of dynamic functional connectivity networks," Human Brain Mapping 38 (1), 202-220 (2016).
R Lorenz, RP Monti, IR Violante, C Anagnostopoulos, AA Faisal, G Montana, and R Leech, "The Automatic Neuroscientist: A framework for optimizing experimental design with closed-loop real-time fMRI," NeuroImage 129, 320-334 (2016).
R Lorenz, J Pascual, B Blankertz, and C Vidaurre, "Towards a holistic assessment of the user experience with hybrid BCIs," Journal of Neural Engineering 11 (3), 1-10 (2014).
PF da Costa, F Popescu, R Leech, and R Lorenz, "Elucidating Cognitive Processes Using LSTMs", in Conference on Cognitive Computational Neuroscience (CCN 2019), (2019), pp. 272-275.
T Carricarte, P Iamshchinina, R Trampel, D Chaimow, R Lorenz, N Weiskopf, and RM Cichy, "Laminar activation pattern of category-selective regions during imagery and perception", in Journal of Vision, (Scholar One, Inc., Charlottesville, VA, 2022), Vol. 22, pp. 3683.
R Lorenz, "Neuroadaptive technology for cognitive neuroscientists", (2020).
R Lorenz, "Fractionating the human frontoparietal cortex: Combining meta-analytic and real-time optimization approaches", (2018).
N Demody, R Lorenz, J Duncan, and A Woolgar, "Spatial and feature-selective attention interact to driveselective coding in frontoparietal cortex: data from healthy controls and focal lesion patients", in 30th Anniversary Meeting of the Cognitive Neuroscience Society (CNS 2023), (2023).
N Dermody, R Lorenz, and A Woolgar, "Spatial and feature-selective attention interact multiplicatively in multiple-demand networ", in 27th Annual Meeting of the Organization for Human Brain Mapping (OHBM 2021), (2021).
K Karolis Degutis, D Chaimow, D Haenelt, M Assem, J Duncan, J-D Haynes, N Weiskopf, and R Lorenz, "Dynamic layer-specific processing in the prefrontal cortex during working memory", (2023).