Máté Lengyel

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Jozsef FiserCentral European UniversityCorreu electrònic verificat a ceu.edu
Gergo OrbanHead, Computational Systems Neuroscience Lab, HUN-REN Wigner Research Centre, Budapest, HungaryCorreu electrònic verificat a wigner.hu
Pietro BerkesCorreu electrònic verificat a brandeis.edu
Daniel WolpertProfessor of Neuroscience, Columbia UniversityCorreu electrònic verificat a columbia.edu
Peter ErdiKalamazoo CollegeCorreu electrònic verificat a kzoo.edu
Guillaume HennequinProfessor of Computational Neuroscience, University of Cambridge, UKCorreu electrònic verificat a cam.ac.uk
Ferenc HuszárUniversity of CambridgeCorreu electrònic verificat a cam.ac.uk
Laurence AitchisonUniversity of BristolCorreu electrònic verificat a bristol.ac.uk
Richard AslinYale UniversityCorreu electrònic verificat a yale.edu
Neil HoulsbyGoogleCorreu electrònic verificat a google.com
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleCorreu electrònic verificat a eng.cam.ac.uk
Balazs B UjfalussyMTA Institute of Experimental MedicineCorreu electrònic verificat a koki.mta.hu
Boris GutkinEcole Normale SuperieureCorreu electrònic verificat a ens.fr
Cristina SavinNYUCorreu electrònic verificat a nyu.edu
Jean-Pascal PfisterProfessor of Theoretical Neuroscience, Department of Physiology, University of BernCorreu electrònic verificat a unibe.ch
Scott Cheng-Hsin YangRedpollCorreu electrònic verificat a redpoll.ai
Tiago BrancoUCL Sainsbury Wellcome CentreCorreu electrònic verificat a ucl.ac.uk
Jeehyun KwagSeoul National UniversityCorreu electrònic verificat a snu.ac.kr
Michiel Remme

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Máté Lengyel

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

Correu electrònic verificat a eng.cam.ac.uk - Pàgina d'inici

computational neuroscience learning memory computational cognitive science


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
Bayesian active learning for classification and preference learning N Houlsby, F Huszár, Z Ghahramani, M Lengyel arXiv preprint arXiv:1112.5745, 2011	959	2011
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	882	2011
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	880	2010
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	353	2008
With or without you: predictive coding and Bayesian inference in the brain L Aitchison, M Lengyel Current opinion in neurobiology 46, 219-227, 2017	339	2017
Hippocampal contributions to control: the third way M Lengyel, P Dayan Advances in neural information processing systems 20, 2007	326	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	318	2016
Statistical treatment of looking-time data. G Csibra, M Hernik, O Mascaro, D Tatone, M Lengyel Developmental psychology 52 (4), 521, 2016	215	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	195	2003
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	176	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	167	2018
Contextual inference underlies the learning of sensorimotor repertoires JB Heald, M Lengyel, DM Wolpert Nature 600 (7889), 489-493, 2021	162	2021
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	138	2020
Theoretical perspectives on active sensing SCH Yang, DM Wolpert, M Lengyel Current opinion in behavioral sciences 11, 100-108, 2016	134	2016
Active sensing in the categorization of visual patterns SCH Yang, M Lengyel, DM Wolpert Elife 5, e12215, 2016	124	2016
Planning in the brain MG Mattar, M Lengyel Neuron 110 (6), 914-934, 2022	112	2022
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	101	2018
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	94	2010
The Hamiltonian brain: Efficient probabilistic inference with excitatory-inhibitory neural circuit dynamics L Aitchison, M Lengyel PLoS computational biology 12 (12), e1005186, 2016	90	2016
Fast sampling-based inference in balanced neuronal networks G Hennequin, L Aitchison, M Lengyel Advances in neural information processing systems 27, 2014	77	2014

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