A. Aldo Faisal

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Matthieu KomorowskiMD, PhD, Clinical Senior Lecturer at Imperial College London ; Visiting Scholar at MITVerified email at imperial.ac.uk
William Welby AbbottImperial College LondonVerified email at ic.ac.uk
Constantinos GavrielPhD Student at Imperial College LondonVerified email at imperial.ac.uk
Andreas ThomikImperial College LondonVerified email at imperial.ac.uk
Ali ShaftiResearch Fellow, Imperial College LondonVerified email at imperial.ac.uk
Leo Anthony CeliMassachusetts Institute of TechnologyVerified email at mit.edu
Anthony GordonProfessor, Imperial College LondonVerified email at imperial.ac.uk
Daniel WolpertProfessor of Neuroscience, Columbia UniversityVerified email at columbia.edu
Simon B LaughlinDepartment of Zoology, University of CambridgeVerified email at cam.ac.uk
Shlomi HaarEdmond and Lily Safra Fellow, Imperial College LondonVerified email at imperial.ac.uk
Finale Doshi-VelezProfessor, HarvardVerified email at seas.harvard.edu
Omer GottesmanBrown UniversityVerified email at brown.edu
Dietrich StoutAssociate Professor of Anthropology, Emory UniversityVerified email at emory.edu
Luc SelenAssistant Professor, Donders Institute for Brain, Cognition and BehaviourVerified email at donders.ru.nl
Pavel A Orlov1) University of Eastern Finland; 2) Peter the Great St.Petersburg Polytechnic UniversityVerified email at student.uef.fi
Omar Badawi, PharmD, MPH, FCCMNational Evaluation System for health Technology Coordinating Center (NESTcc); University ofVerified email at mdic.org
Chaiyawan AuepanwiriyakulPhD student, Imperial College LondonVerified email at ic.ac.uk
M KottiDeloitteVerified email at it.teithe.gr
Alison McGregorProfessor of Musculoskeletal BiodynamicsVerified email at imperial.ac.uk
Inês ViolanteSenior Lecturer in Psychological Neuroscience, University of SurreyVerified email at surrey.ac.uk

A. Aldo Faisal

Professor in AI & Neuroscience, Imperial College; Chair in Digital Health, University of Bayreuth

Verified email at imperial.ac.uk - Homepage

AI for Healthcare Reinforcement Learning Neurotechnology Computational Neuroscience Behavior Analytics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Noise in the nervous system AA Faisal, LPJ Selen, DM Wolpert Nature reviews neuroscience 9 (4), 292-303, 2008	2519	2008
The artificial intelligence clinician learns optimal treatment strategies for sepsis in intensive care M Komorowski, LA Celi, O Badawi, AC Gordon, AA Faisal Nature medicine 24 (11), 1716-1720, 2018	537	2018
Mathematics for machine learning MP Deisenroth, AA Faisal, CS Ong Cambridge University Press, 2020	281	2020
Ion-channel noise places limits on the miniaturization of the brain’s wiring AA Faisal, JA White, SB Laughlin Current Biology 15 (12), 1143-1149, 2005	224	2005
Guidelines for reinforcement learning in healthcare O Gottesman, F Johansson, M Komorowski, A Faisal, D Sontag, ... Nature medicine 25 (1), 16-18, 2019	211	2019
Stochastic simulations on the reliability of action potential propagation in thin axons AA Faisal, SB Laughlin PLoS computational biology 3 (5), e79, 2007	164	2007
Acquisition of Paleolithic toolmaking abilities involves structural remodeling to inferior frontoparietal regions EE Hecht, DA Gutman, N Khreisheh, SV Taylor, J Kilner, AA Faisal, ... Brain Structure and Function 220 (4), 2315-2331, 2015	149	2015
The manipulative complexity of Lower Paleolithic stone toolmaking A Faisal, D Stout, J Apel, B Bradley PloS one 5 (11), e13718, 2010	148	2010
Near optimal combination of sensory and motor uncertainty in time during a naturalistic perception-action task AA Faisal, DM Wolpert Journal of Neurophysiology 101 (4), 1901-1912, 2009	112	2009
Neurocognitive barriers to the embodiment of technology TR Makin, F de Vignemont, AA Faisal Nature Biomedical Engineering 1 (1), 1-3, 2017	100	2017
Ultra-low-cost 3D gaze estimation: an intuitive high information throughput compliment to direct brain–machine interfaces WW Abbott, AA Faisal Journal of Neural Engineering 9 (4), 046016, 2012	95	2012
Ultra-low-cost 3D gaze estimation: an intuitive high information throughput compliment to direct brain–machine interfaces WW Abbott, AA Faisal Journal of neural engineering 9 (4), 046016, 2012	95	2012
The use of reinforcement learning algorithms to meet the challenges of an artificial pancreas MK Bothe, L Dickens, K Reichel, A Tellmann, B Ellger, M Westphal, ... Expert review of medical devices 10 (5), 661-673, 2013	94	2013
Internal states drive nutrient homeostasis by modulating exploration-exploitation trade-off VM Corrales-Carvajal, AA Faisal, C Ribeiro Elife 5, e19920, 2016	83	2016
Evaluating reinforcement learning algorithms in observational health settings O Gottesman, F Johansson, J Meier, J Dent, D Lee, S Srinivasan, L Zhang, ... arXiv preprint arXiv:1805.12298, 2018	74	2018
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	74	2016
The effect of cell size and channel density on neuronal information encoding and energy efficiency B Sengupta, AA Faisal, SB Laughlin, JE Niven Journal of Cerebral Blood Flow & Metabolism 33 (9), 1465-1473, 2013	72	2013
Gaussian process autoregression for simultaneous proportional multi-modal prosthetic control with natural hand kinematics M Xiloyannis, C Gavriel, AAC Thomik, AA Faisal IEEE Transactions on Neural Systems and Rehabilitation Engineering 25 (10 …, 2017	68	2017
Scaling-laws of human broadcast communication enable distinction between human, corporate and robot twitter users G Tavares, A Faisal PloS one 8 (7), e65774, 2013	67	2013
Coordinated righting behaviour in locusts AA Faisal, T Matheson Journal of Experimental Biology 204 (4), 637-648, 2001	65	2001

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