EBs recognize a nucleotide-dependent structural cap at growing microtubule ends SP Maurer, FJ Fourniol, G Bohner, CA Moores, T Surrey Cell 149 (2), 371-382, 2012 | 414 | 2012 |
Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness S Vollmer, BA Mateen, G Bohner, FJ Király, R Ghani, P Jonsson, ... bmj 368, 2020 | 384* | 2020 |
EB1 accelerates two conformational transitions important for microtubule maturation and dynamics SP Maurer, NI Cade, G Bohner, N Gustafsson, E Boutant, T Surrey Current Biology 24 (4), 372-384, 2014 | 236 | 2014 |
Learning interpretable continuous-time models of latent stochastic dynamical systems L Duncker, G Bohner, J Boussard, M Sahani International conference on machine learning, 1726-1734, 2019 | 80 | 2019 |
Dendritic calcium signals in rhesus macaque motor cortex drive an optical brain-computer interface EM Trautmann, DJ O’Shea, X Sun, JH Marshel, A Crow, B Hsueh, ... Nature communications 12 (1), 3689, 2021 | 53 | 2021 |
Important factors determining the nanoscale tracking precision of dynamic microtubule ends G Bohner, N Gustafsson, NI Cade, SP Maurer, LD Griffin, T Surrey Journal of microscopy 261 (1), 67-78, 2016 | 20 | 2016 |
Unlocking neural population non-stationarities using hierarchical dynamics models M Park, G Bohner, JH Macke Advances in Neural Information Processing Systems 28, 2015 | 18 | 2015 |
Identifiability, reducibility, and adaptability in allosteric macromolecules G Bohner, G Venkataraman Journal of General Physiology 149 (5), 547-560, 2017 | 9 | 2017 |
Score-matching estimators for continuous-time point-process regression models M Sahani, G Bohner, A Meyer 2016 IEEE 26th International Workshop on Machine Learning for Signal …, 2016 | 8 | 2016 |
Development and assessment of a machine learning tool for predicting emergency admission in scotland J Liley, G Bohner, SR Emerson, BA Mateen, K Borland, D Carr, S Heald, ... medRxiv, 2021.08. 06.21261593, 2021 | 5 | 2021 |
Machine Learning and AI Research for Patient Benefit: 20 Critical Questions on Transparency, Replicability S Vollmer, BA Mateen, G Bohner, FJ Király, R Ghani, P Jonsson, ... Ethics and Effectiveness 25, 2018 | 5 | 2018 |
& Hemingway, H.(2020) S Vollmer, BA Mateen, G Bohner, FJ Király, R Ghani, P Jonsson Machine learning and artificial intelligence research for patient benefit 20, 0 | 5 | |
Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness. BMJ (Internet) 2020 … S Vollmer, BA Mateen, G Bohner, FJ Király, R Ghani, P Jonsson | 5 | |
Empirical fixed point bifurcation analysis G Bohner, M Sahani arXiv preprint arXiv:1807.01486, 2018 | 3 | 2018 |
Convolutional higher order matching pursuit G Bohner, M Sahani 2016 IEEE 26th International Workshop on Machine Learning for Signal …, 2016 | 1 | 2016 |
Unsupervised methods for large-scale, cell-resolution neural data analysis G Bohner UCL (University College London), 2019 | | 2019 |
Project Proposal G Bohner | | 2017 |
Investigating intracellular mechanisms of sleep in Drosophila Melanogaster G Bohner http://www.gatsby.ucl.ac.uk/~gbohner/GergoBohner_Minor_ProjectProposal.pdf, 2017 | | 2017 |
Theoretical Modelling of Optical Tweezers within the Rayleigh-regime and Studying Kinesin Movement [A lézercsipesz elméleti modellezése Rayleigh-tartományban és a modell … G Bohner Pazmany Peter Catholic University, https://www.dropbox.com/s/5q65vwe0rq8jcnm …, 2011 | | 2011 |
Current Subject Limits SP Maurer, FJ Fourniol, G Bohner, CA Moores, T Surrey Cell 149, 2, 0 | | |