Máté Lengyel

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Jozsef FiserCentral European UniversityVerified email at ceu.edu
Gergo OrbanHead, Computational Systems Neuroscience Lab, MTA Wigner Research Centre, Budaepst, HungaryVerified email at cam.ac.uk
Pietro BerkesVerified email at brandeis.edu
Peter ErdiKalamazoo CollegeVerified email at kzoo.edu
Daniel WolpertProfessor of Neuroscience, Columbia UniversityVerified email at columbia.edu
Guillaume HennequinThe University of Cambridge, UKVerified email at cam.ac.uk
Ferenc HuszárUniversity of CambridgeVerified email at cam.ac.uk
Richard AslinHaskins Laboratories and Yale UniversityVerified email at yale.edu
Laurence AitchisonUniversity of BristolVerified email at bristol.ac.uk
Neil HoulsbyGoogleVerified email at google.com
B GutkinEcole Normale SuperieureVerified email at ens.fr
Cristina SavinNYUVerified email at nyu.edu
Balazs B UjfalussyMTA Institute of Experimental MedicineVerified email at koki.mta.hu
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleVerified email at eng.cam.ac.uk
Jean-Pascal PfisterProfessor of Theoretical Neuroscience, Institute of Neuroinformatics, University of Zurich and ETHVerified email at ini.uzh.ch
Scott Cheng-Hsin YangRutgers UniversityVerified email at rutgers.edu
Tiago BrancoUCL Sainsbury Wellcome CentreVerified email at ucl.ac.uk
Jeehyun KwagKorea UniversityVerified email at korea.ac.kr
Michiel Remme

Máté Lengyel

Professor of Computational Neuroscience, University of Cambridge; Senior Research Fellow, CEU

Verified email at eng.cam.ac.uk - Homepage

computational neuroscience learning memory computational cognitive science


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Statistically optimal perception and learning: from behavior to neural representations J Fiser, P Berkes, G Orbán, M Lengyel Trends in cognitive sciences 14 (3), 119-130, 2010	736	2010
Spontaneous cortical activity reveals hallmarks of an optimal internal model of the environment P Berkes, G Orbán, M Lengyel, J Fiser Science 331 (6013), 83-87, 2011	714	2011
Bayesian active learning for classification and preference learning N Houlsby, F Huszár, Z Ghahramani, M Lengyel arXiv preprint arXiv:1112.5745, 2011	427	2011
Bayesian learning of visual chunks by human observers G Orbán, J Fiser, RN Aslin, M Lengyel Proceedings of the National Academy of Sciences 105 (7), 2745-2750, 2008	285	2008
Hippocampal contributions to control: the third way M Lengyel, P Dayan Advances in neural information processing systems 20, 2007	231	2007
Neural variability and sampling-based probabilistic representations in the visual cortex G Orbán, P Berkes, J Fiser, M Lengyel Neuron 92 (2), 530-543, 2016	212	2016
Dynamically detuned oscillations account for the coupled rate and temporal code of place cell firing M Lengyel, Z Szatmáry, P Érdi Hippocampus 13 (6), 700-714, 2003	182	2003
With or without you: predictive coding and Bayesian inference in the brain L Aitchison, M Lengyel Current opinion in neurobiology 46, 219-227, 2017	176	2017
Matching storage and recall: hippocampal spike timing–dependent plasticity and phase response curves M Lengyel, J Kwag, O Paulsen, P Dayan Nature neuroscience 8 (12), 1677-1683, 2005	168	2005
Statistical treatment of looking-time data. G Csibra, M Hernik, O Mascaro, D Tatone, M Lengyel Developmental psychology 52 (4), 521, 2016	134	2016
The dynamical regime of sensory cortex: stable dynamics around a single stimulus-tuned attractor account for patterns of noise variability G Hennequin, Y Ahmadian, DB Rubin, M Lengyel, KD Miller Neuron 98 (4), 846-860. e5, 2018	101	2018
Active sensing in the categorization of visual patterns SCH Yang, M Lengyel, DM Wolpert Elife 5, e12215, 2016	86	2016
Synapses with short-term plasticity are optimal estimators of presynaptic membrane potentials JP Pfister, P Dayan, M Lengyel Nature neuroscience 13 (10), 1271-1275, 2010	85	2010
Theoretical perspectives on active sensing SCH Yang, DM Wolpert, M Lengyel Current opinion in behavioral sciences 11, 100-108, 2016	82	2016
Democracy-independence trade-off in oscillating dendrites and its implications for grid cells MWH Remme, M Lengyel, BS Gutkin Neuron 66 (3), 429-437, 2010	76	2010
The Hamiltonian brain: Efficient probabilistic inference with excitatory-inhibitory neural circuit dynamics L Aitchison, M Lengyel PLoS computational biology 12 (12), e1005186, 2016	65	2016
Cortical-like dynamics in recurrent circuits optimized for sampling-based probabilistic inference R Echeveste, L Aitchison, G Hennequin, M Lengyel Nature Neuroscience 23, 1138–1149, 2020	64	2020
The role of ongoing dendritic oscillations in single-neuron dynamics MWH Remme, M Lengyel, BS Gutkin PLoS computational biology 5 (9), e1000493, 2009	62	2009
Goal-directed decision making with spiking neurons J Friedrich, M Lengyel Journal of Neuroscience 36 (5), 1529-1546, 2016	60	2016
Computational theories on the function of theta oscillations M Lengyel, Z Huhn, P Érdi Biological cybernetics 92 (6), 393-408, 2005	60	2005

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