Computational Learning and Memory Group
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presentations
Keck C*, Savin C*, Lücke J. (*equal contributions)
Feedforward inhibition and synaptic scaling -- two sides of the same coin?
PLoS Comput Biol 8: e1002432, 2012.
paper
Remme MWH, Lengyel M, Gutkin BS.
A theoretical framework for the dynamics of multiple intrinsic oscillators in single neurons.
In:
Phase response curves in neuroscience: theory, experiment, and analysis (eds. Schultheiss NW, Prinz AA, Butera RJ), Springer, pp. 53–72, 2012.
chapter :
bibtex
Ujfalussy B, Lengyel M.
Active dendrites: adaptation to spike-based communication.
Advances in Neural Information Processing Systems 24, 1188-1196, 2011.
paper :
supplementary material :
bibtex
Savin C, Dayan P, Lengyel M.
Two is better than one: distinct roles for familiarity and recollection in retrieving palimpsest memories.
Advances in Neural Information Processing Systems 24, 1305-1313, 2011.
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Berkes P, Orbán G, Lengyel M*, Fiser J* (*equal contributions)
Spontaneous cortical activity reveals hallmarks of an optimal internal model of the environment.
Science 331:83-87, 2011.
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Hennequin G, Gerstner W, Pfister J-P.
STDP in adaptive neurons gives close-to-optimal information transmission.
Frontiers in Computational Neuroscience 4:143, 2010.
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Pfister J-P, Tass PA.
STDP in oscillatory recurrent networks: theoretical conditions for desynchronization and applications to deep brain stimulation.
Frontiers in Computational Neuroscience 4:22, 2010.
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bibtex
Huszár F, Noppeney U, Lengyel M.
Mind reading by machine learning: A doubly Bayesian method for inferring mental representations.
Proceedings of the 32nd Annual Conference of the Cognitive Science Society, 2810-2815, 2010.
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Fiser J, Berkes B, Orbán G, Lengyel M.
Statistically optimal perception and learning: from behavior to neural representations.
Trends in Cognitive Sciences 14:119-130, 2010.
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Pfister JP, Dayan P, Lengyel M.
Know thy neighbour: a normative theory of synaptic depression.
Advances in Neural Information Processing Systems 22, 1464-1472, 2009.
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Remme MWH, Lengyel M, Gutkin BS.
The role of ongoing dendritic oscillations in single-neuron dynamics.
PLoS Computational Biology 5:e1000493, 2009
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Latham PE, Lengyel M.
Phase coding: spikes get a boost from local fields.
Current Biology 18:R349-351, 2008.
(commentary on Montemurro et al.
Current Biology 18:375-380, 2008.)
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target article :
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Orbán G, Fiser J, Aslin RN, Lengyel M.
Bayesian learning of visual chunks by human observers.
Proceedings of the National Academy of Sciences USA 105:2745-2750, 2008.
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Lengyel M, Dayan P.
Hippocampal contributions to control: the third way.
Advances in Neural Information Processing Systems 20, 889-896, 2008.
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Lengyel M, Dayan P.
Uncertainty, phase, and oscillatory hippocampal recall.
Advances in Neural Information Processing Systems 19, 833-840, 2007.
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Orbán G, Fiser J, Aslin RN, Lengyel M.
Learning objects by learning models: finding independent causes and preferring simplicity.
Proceedings of the Twenty-Eighth Annual Conference of the Cognitive Science Society, 645-650, 2006.
paper :
bibtex
Orbán G, Fiser J, Aslin RN, Lengyel M.
Bayesian model learning in human visual perception.
Advances in Neural Information Processing Systems 18, 1043-1050, 2006.
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Lengyel M, Kwag J, Paulsen O, Dayan P.
Matching storage and recall: hippocampal spike timing-dependent plasticity and phase response curves.
Nature Neuroscience 8:1677-1683, 2005.
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Lengyel M, Dayan P.
Rate-and phase-coded autoassociative memory.
Advances in Neural Information Processing Systems 17, 769-776, 2005.
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Lengyel M, Huhn Zs, Érdi, P.
Computational theories on the function of theta oscillations.
Biological Cybernetics 92:393-408, 2005.
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Huhn Zs, Orbán G, Érdi P, Lengyel M.
Theta oscillation-coupled dendritic spiking integrates inputs on a long time scale.
Hippocampus 15:950-962, 2005.
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Huhn Zs, Lengyel M, Orbán G, Érdi P.
Dendritic spiking accounts for rate and phase coding in a biophysical model of a hippocampal place cell.
Neurocomputing 65-66:331-341, 2005.
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Lengyel M, Érdi P.
Theta modulated feed-forward network generates rate and phase coded firing in the entorhino-hippocampal system.
IEEE Transactions on Neural Networks 15:1092-1099, 2004.
paper :
bibtex
Papp G, Huhn Zs, Lengyel M, Érdi P.
Effects of dendritic location and different components of LTP expression on the firing activity of hippocampal CA1 pyramidal cells.
Neurocomputing 58-60:692-697, 2004.
paper :
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Érdi P, Lengyel M.
Matematikai modellek az idegrendszer-kutatásban (Mathematical models in neuroscience, in Hungarian).
In:
Kognitív idegtudomány (
Cognitive Neuroscience, in Hungarian, eds. Pléh Cs, Kovács Gy, Gulyás B), Osiris: Budapest, pp.126-148, 2003.
bibtex
Lengyel M.
The theta switch: rate and phase coding in the entorhino-hippocampal system
PhD Thesis, 2003.
thesis :
bibtex
Zalányi L, Csárdi G, Kiss T, Lengyel M, Warner R, Tobochnik J, Érdi P.
Properties of a random attachment growing network.
Physical Review E 68:066104, 2003.
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Lengyel M, Szatmáry Z, Érdi P.
Dynamically detuned oscillations account for the coupled rate and temporal code of place cell firing.
Hippocampus 13:700-714, 2003.
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Orbán G, Kiss T, Lengyel M, Érdi P.
Hippocampal rhythm generation: gamma-related theta-frequency resonance in CA3 interneurons.
Biological Cybernetics 84:123-132, 2001.
paper :
bibtex
Kiss T, Orbán G, Lengyel M, Érdi P.
Intrahippocampal gamma and theta rhythm generation in a network model of inhibitory interneurons.
Neurocomputing 38-40:713-719, 2001.
paper
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Misják F, Lengyel M, Érdi P.
Episodic memory and cognitive map in a rate model network of the rat hippocampus.
Lecture Notes in Computer Science 2130:1135-1140, 2001.
manuscript :
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Lengyel M.
Szomatikus és dendritikus gátlás közötti pozíciófüggő különbségek hippokampális piramissejteken (Differences between somatic and
dendritic inhibition on hippocampal pyramidal cells, in Hungarian).
MSc Thesis, 2000.
thesis :
bibtex
Lengyel M, Kepecs Á, Érdi P.
Location-dependent differences between somatic and dendritic IPSPs.
Neurocomputing 26-27:193-197, 1999.
paper :
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Bazsó F, Kepecs Á, Lengyel M, Payrits Sz, Szalisznyó K, Zalányi L, Érdi P.
Single cell and population activities in cortical-like systems.
Reviews in the Neurosciences 10:201-212, 1999.
manuscript :
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