Máté Lengyel

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Jozsef FiserCentral European UniversityEmail verificata su ceu.edu
Gergo OrbanHead, Computational Systems Neuroscience Lab, MTA Wigner Research Centre, Budapest, HungaryEmail verificata su wigner.mta.hu
Peter ErdiKalamazoo CollegeEmail verificata su kzoo.edu
Pietro BerkesEmail verificata su brandeis.edu
Daniel WolpertProfessor of Neuroscience, Columbia UniversityEmail verificata su columbia.edu
Ferenc HuszárUniversity of CambridgeEmail verificata su cam.ac.uk
Guillaume HennequinProfessor of Computational Neuroscience, University of Cambridge, UKEmail verificata su cam.ac.uk
Richard AslinHaskins Laboratories and Yale UniversityEmail verificata su yale.edu
Laurence AitchisonUniversity of BristolEmail verificata su bristol.ac.uk
Neil HoulsbyGoogleEmail verificata su google.com
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleEmail verificata su eng.cam.ac.uk
Balazs B UjfalussyMTA Institute of Experimental MedicineEmail verificata su koki.mta.hu
Boris GutkinEcole Normale SuperieureEmail verificata su ens.fr
Cristina SavinNYUEmail verificata su nyu.edu
Jean-Pascal PfisterProfessor of Theoretical Neuroscience, Institute of Neuroinformatics, University of Zurich and ETHEmail verificata su ini.uzh.ch
Scott Cheng-Hsin YangRedpollEmail verificata su redpoll.ai
Tiago BrancoUCL Sainsbury Wellcome CentreEmail verificata su ucl.ac.uk
Jeehyun KwagSeoul National UniversityEmail verificata su snu.ac.kr
Michiel Remme

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Máté Lengyel

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

Email verificata su eng.cam.ac.uk - Home page

computational neuroscience learning memory computational cognitive science


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	808	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	792	2011
Bayesian active learning for classification and preference learning N Houlsby, F Huszár, Z Ghahramani, M Lengyel arXiv preprint arXiv:1112.5745, 2011	699	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	316	2008
Hippocampal contributions to control: the third way M Lengyel, P Dayan Advances in neural information processing systems 20, 2007	285	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	261	2016
With or without you: predictive coding and Bayesian inference in the brain L Aitchison, M Lengyel Current opinion in neurobiology 46, 219-227, 2017	257	2017
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	189	2003
Statistical treatment of looking-time data. G Csibra, M Hernik, O Mascaro, D Tatone, M Lengyel Developmental psychology 52 (4), 521, 2016	174	2016
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	170	2005
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	136	2018
Theoretical perspectives on active sensing SCH Yang, DM Wolpert, M Lengyel Current opinion in behavioral sciences 11, 100-108, 2016	108	2016
Active sensing in the categorization of visual patterns SCH Yang, M Lengyel, DM Wolpert Elife 5, e12215, 2016	106	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	97	2020
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	88	2010
Contextual inference underlies the learning of sensorimotor repertoires JB Heald, M Lengyel, DM Wolpert Nature 600 (7889), 489-493, 2021	87	2021
Global and multiplexed dendritic computations under in vivo-like conditions BB Ujfalussy, JK Makara, M Lengyel, T Branco Neuron 100 (3), 579-592. e5, 2018	82	2018
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	77	2010
The Hamiltonian brain: Efficient probabilistic inference with excitatory-inhibitory neural circuit dynamics L Aitchison, M Lengyel PLoS computational biology 12 (12), e1005186, 2016	71	2016
Goal-directed decision making with spiking neurons J Friedrich, M Lengyel Journal of Neuroscience 36 (5), 1529-1546, 2016	63	2016

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