个人简介
Dr Faisal is a Senior Lecturer in Neurotechnology (US equivalent: Associate Professor, tenured) jointly at the Dept. of Bioengineering and the Dept. of Computing at Imperial College London. He is also Associate Group Head at the MRC Clinical Sciences Center (Hammersmith Hosptial) and is affiliated faculty at the Gatsby Computational Neuroscience Unit (University College London).
Note: It is strongly recommended to visit the Faisal Lab's web pages (www.FaisalLab.com) as that site is most up to date in terms of news and publications.
Dr Faisal's lab combines cross-disciplinary computational and experimental approaches to investigate how the brain and its neural circuits are designed to learn and control goal-directed movements. The neuroscientific findings enable the targeted development of novel technology for clinical and research applications (Neurotechnology) for a variety of neurological/motor disorders and amputees. Key techinques include on the computational side machine learning & stochastic modelling techniques and experimentally we use psychophysics, eyetracking & kinematics, non-invasive electrophysiolog, robotic (with Brain-Computer Interfaces) and funcational imaging. We have featured regularly across global media (such as BBC Today Show, CNN, WIRED, TED, TEDx, New Scientist, Guardian, Times of India, etc.). In the acemic year 2013/2014 the lab comprised 15 Post-Docs and PhD students (see www.FaisalLab.com for more).
Biographical sketch: Aldo read Computer Science and Physics in Germany, where he wrote his Diplomarbeit (M.Sc. thesis) in non-linear dynamical systems and neural networks (with Helge Ritter). He moved on to study Biology at Cambridge University (Emmanuel College) and wrote his M.Phil. thesis on the electrophysiological and behavioural study of a complex motor behaviour in freely moving insects with Tom Matheson in the group of Malcolm Burrow FRS. For his Ph.D. he joined Simon Laughlin FRS group at the Zoology Department in Cambridge investigating the biophysical sources of neuronal variability. He was elected a Junior Research Fellow at Cambridge University (Wolfson College) and joined the Computational & Biological Learning Group(Engineering Department) to work with Daniel Wolpert FRS on human sensorimotor control. Between and after his studies he gained insights into strategic mangement consulting with McKinsey & Co. and as a "quant" with the investment bank Credit Suisse. In winter 2009 Aldo setup the Brain & Behaviour Lab at Imperial College to pursue a research program that aims at understanding the brain with principles from engineering which often immediately translates into direct technological applications for patients and society.
Aldo received a number of awards and distinctions, including being scholar of the German National Merit Foundation (Studienstiftung des Deutsche Volkes;Undergraduate and PhD training), a Fellow of the Böhringer-Ingelheim Foundation for Basic Biomedical Research and elected as a Junior Research Fellow at the University of Cambridge (Wolfson College).
Aldo serves on the editorial board of PLoS Computational Biology (Impact Factor 2012: 4.9) and the board of the EPSRC Centre for Doctoral Training in Neurotechnology at Imperial College. Aldo’s research publications can be found at the tab above, or more up to date on Google Scholar.
研究领域
We apply quantitative and computational methods from computing, physics, and engineering to describe aand study brains from first principles. We are especially interested in how the brain copes with uncertainty and noise (Faisal et al., 2008, Nature Rev Neurosci) when processing information. These two factors have profound implications for information processing and are bound to have shaped the design of the nervous system and the way it controls and learns (movement) behaviour.
Research in the Faisal Lab operates using a multi-resolution approach encompassing several levels of biological organisation: from molecules to whole body movements. This involves, on the one side, modelling from the bottom-up signalling molecules, neurons and neutral circuits from first biophysical principles (e.g. Faisal et al., 2007, PLOS CB). On the other side analysing from the top-down human learning and motor behaviour together with conducting psychophysics experiments using virtual reality and robotic interfaces to test these theories in a quantitative setting (e.g. Faisal & Wolpert, 2009, J.Neurophys.).
In four experimental collaborations we drive this approach to:
development of neural circuits
the link between genes and behaviour
electrophysiology in the sensorimotor loop
the evolution of skilled human tool manipulation
As part of this research programme the Faisal Lab is developing a Bioinformatics of Behaviour, i.e. methods to automatically annotate, quantify and analyse large-scale data sets of human and animal behaviour.
Our research has been featured both in the academic press (e.g Nature) as well as in print media (e.g. New Scientist) and TV (e.g. Discovery TV). More on our research programme is on the Faisal Lab website.
近期论文
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Corrales-Carvajal VM, Faisal AA, Ribeiro C, Internal states drive nutrient homeostasis by modulating exploration-exploitation trade-off, eLife, ISSN: 2050-084X
Corrales-Carvajal VM, Faisal AA, Ribeiro C, Internal states drive nutrient homeostasis by modulating exploration-exploitation trade-off, eLife, Pages: 1-30, ISSN: 2050-084X
Faisal AA, White JA, Laughlin SB, Supplemental Data Ion-Channel Noise Places Limits on the Miniaturization of the Brain’s Wiring
Behbahani FMP, Singla-Buxarrais G, Aldo Faisal A, 2016, Haptic SLAM: An ideal observer model for Bayesian inference of object shape and hand pose from contact dynamics, Pages: 146-157, ISSN: 0302-9743
Bergsma A, Lobo-Prat J, Vroom E, Furlong P, Herder JL, Corrigan M, de Groot I, Faisal A, Goemans N, Han J, Iodice M, Kennedy A, Koopman B, Prat JL, Main M, Mathie B, Muntoni F, Castro MN, Paalman M, Porter J, Rahman T, Schneider J, Stienen A, Verstegen P, Walsh Cet al., 2016, 1st Workshop on Upper-Extremity Assistive Technology for People with Duchenne: State of the art, emerging avenues, and challenges. April 27th 2015, London, United Kingdom., Neuromuscular Disorders, Vol: 26, Pages: 386-393, ISSN: 0960-8966
Dziemian S, Abbott WW, Aldo Faisal A, 2016, Gaze-based teleprosthetic enables intuitive continuous control of complex robot arm use: Writing & drawing, Pages: 1277-1282, ISSN: 2155-1774
Faisal AA, 2016, Action Grammars - Extraction, recognition and prediction of movement primitives in tool-making, 85th Annual Meeting of the American-Association-of-Physical-Anthropologists, Publisher: WILEY-BLACKWELL, Pages: 141-141, ISSN: 0002-9483
Konnaris C, Gavriel C, Thomik AAC, Aldo Faisal Aet al., 2016, EthoHand: A dexterous robotic hand with ball-joint thumb enables complex in-hand object manipulation, Pages: 1154-1159, ISSN: 2155-1774
Konnaris C, Thomik AAC, Aldo Faisal A, 2016, Sparse Eigenmotions derived from daily life kinematics implemented on a dextrous robotic hand, Pages: 1358-1363, ISSN: 2155-1774
Lorenz R, Monti RP, Violante IR, Anagnostopoulos C, Faisal AA, Montana G, Leech Ret al., 2016, The Automatic Neuroscientist: A framework for optimizing experimental design with closed-loop real-time fMRI, NEUROIMAGE, Vol: 129, Pages: 320-334, ISSN: 1053-8119
Lourenço PR, Abbott WW, Faisal AA, 2016, Supervised EEG Ocular Artefact Correction Through Eye-Tracking, Advances in Neurotechnology, Electronics and Informatics, Editors: Londral, Encarnação, Publisher: Springer International Publishing, Pages: 99-113, ISBN: 978-3-319-26240-6
Rodríguez M, Sylaidi A, Faisal AA, 2016, An fMRI-Compatible System for 3DOF Motion Tracking of Objects in Haptic Motor Control Studies, Advances in Neurotechnology, Electronics and Informatics, Editors: Londral, Encarnação, Publisher: Springer International Publishing, Pages: 115-123, ISBN: 978-3-319-26240-6
Tostado PM, Abbott WW, Faisal AA, 2016, 3D gaze cursor: Continuous calibration and end-point grasp control of robotic actuators, Pages: 3295-3300, ISSN: 1050-4729
Abbott WW, Thomik AA, Faisal AA, 2015, Sensory-motor system identification of active perception in ecologically valid environments, American Physical Society Annual meeting
Behbahani FMP, Taunton R, Thomik AAC, Faisal AAet al., 2015, Haptic SLAM for context-aware robotic hand prosthetics - simultaneous inference of hand pose and object shape using particle filters, 7th Annual International IEEE EMBS Conference on Neural Engineering (NER), Publisher: IEEE, Pages: 719-722, ISSN: 1948-3546
Belic JJ, Faisal AA, 2015, Decoding of human hand actions to handle missing limbs in neuroprosthetics, Frontiers in Computational Neuroscience, Vol: 9, ISSN: 1662-5188
Dickens L, Caldas B, Schoenhense B, Stan G-B, Faisal AAet al., 2015, The Moveable Feast of Predictive Reward Discounting in Humans, 2nd Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM)
Faisal AA, 2015, The Brain Electric The Dramatic High-Tech Race to Merge Minds and Machines, SCIENCE, Vol: 350, Pages: 746-746, ISSN: 0036-8075
Ferrante A, Gavriel C, Faisal A, 2015, Towards a brain-derived neurofeedback framework for unsupervised personalisation of Brain-Computer Interfaces, 7th Annual International IEEE EMBS Conference on Neural Engineering (NER), Publisher: IEEE, Pages: 162-165, ISSN: 1948-3546
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