| Year |
Citation |
Score |
| 2024 |
Stroud JP, Duncan J, Lengyel M. The computational foundations of dynamic coding in working memory. Trends in Cognitive Sciences. PMID 38580528 DOI: 10.1016/j.tics.2024.02.011 |
0.74 |
|
| 2023 |
Stroud JP, Watanabe K, Suzuki T, Stokes MG, Lengyel M. Optimal information loading into working memory explains dynamic coding in the prefrontal cortex. Proceedings of the National Academy of Sciences of the United States of America. 120: e2307991120. PMID 37983510 DOI: 10.1073/pnas.2307991120 |
0.738 |
|
| 2022 |
Mattar MG, Lengyel M. Planning in the brain. Neuron. PMID 35041804 DOI: 10.1016/j.neuron.2021.12.018 |
0.622 |
|
| 2020 |
Echeveste R, Aitchison L, Hennequin G, Lengyel M. Cortical-like dynamics in recurrent circuits optimized for sampling-based probabilistic inference. Nature Neuroscience. PMID 32778794 DOI: 10.1038/S41593-020-0671-1 |
0.349 |
|
| 2019 |
Gáspár ME, Polack PO, Golshani P, Lengyel M, Orbán G. Representational untangling by the firing rate nonlinearity in V1 simple cells. Elife. 8. PMID 31502537 DOI: 10.7554/Elife.43625 |
0.307 |
|
| 2018 |
Ujfalussy BB, Makara JK, Lengyel M, Branco T. Global and Multiplexed Dendritic Computations under In Vivo-like Conditions. Neuron. 100: 579-592.e5. PMID 30408443 DOI: 10.1016/J.Neuron.2018.08.032 |
0.333 |
|
| 2018 |
Hennequin G, Ahmadian Y, Rubin DB, Lengyel M, Miller KD. The Dynamical Regime of Sensory Cortex: Stable Dynamics around a Single Stimulus-Tuned Attractor Account for Patterns of Noise Variability. Neuron. 98: 846-860.e5. PMID 29772203 DOI: 10.1016/J.Neuron.2018.04.017 |
0.36 |
|
| 2017 |
Aitchison L, Lengyel M. With or without you: predictive coding and Bayesian inference in the brain. Current Opinion in Neurobiology. 46: 219-227. PMID 28942084 DOI: 10.1016/j.conb.2017.08.010 |
0.306 |
|
| 2016 |
Aitchison L, Lengyel M. The Hamiltonian Brain: Efficient Probabilistic Inference with Excitatory-Inhibitory Neural Circuit Dynamics. Plos Computational Biology. 12: e1005186. PMID 28027294 DOI: 10.1371/journal.pcbi.1005186 |
0.388 |
|
| 2016 |
Orbán G, Berkes P, Fiser J, Lengyel M. Neural Variability and Sampling-Based Probabilistic Representations in the Visual Cortex. Neuron. 92: 530-543. PMID 27764674 DOI: 10.1016/J.Neuron.2016.09.038 |
0.306 |
|
| 2016 |
Friedrich J, Lengyel M. Goal-Directed Decision Making with Spiking Neurons. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 36: 1529-46. PMID 26843636 DOI: 10.1523/JNEUROSCI.2854-15.2016 |
0.308 |
|
| 2015 |
Ujfalussy BB, Makara JK, Branco T, Lengyel M. Dendritic nonlinearities are tuned for efficient spike-based computations in cortical circuits. Elife. 4. PMID 26705334 DOI: 10.7554/Elife.10056 |
0.36 |
|
| 2015 |
Fiser J, Koblinger A, Lengyel M. Modeling information integration in sequential visual decision-making. Journal of Vision. 15: 90. PMID 26325778 DOI: 10.1167/15.12.90 |
0.308 |
|
| 2014 |
Savin C, Dayan P, Lengyel M. Optimal recall from bounded metaplastic synapses: predicting functional adaptations in hippocampal area CA3. Plos Computational Biology. 10: e1003489. PMID 24586137 DOI: 10.1371/Journal.Pcbi.1003489 |
0.649 |
|
| 2013 |
Savin C, Dayan P, Lengyel M. Correlations strike back (again): The case of associative memory retrieval Advances in Neural Information Processing Systems. |
0.54 |
|
| 2011 |
Berkes P, Orbán G, Lengyel M, Fiser J. Spontaneous cortical activity reveals hallmarks of an optimal internal model of the environment. Science (New York, N.Y.). 331: 83-7. PMID 21212356 DOI: 10.1126/Science.1195870 |
0.333 |
|
| 2011 |
Pfister JP, Lengyel M. Interactions between short-term and long-term plasticity: shooting for a moving target Nature Precedings. 1-1. DOI: 10.1038/Npre.2011.5857.1 |
0.325 |
|
| 2011 |
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: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011. |
0.555 |
|
| 2010 |
Pfister JP, Dayan P, Lengyel M. Synapses with short-term plasticity are optimal estimators of presynaptic membrane potentials. Nature Neuroscience. 13: 1271-5. PMID 20852625 DOI: 10.1038/Nn.2640 |
0.58 |
|
| 2010 |
Remme MW, Lengyel M, Gutkin BS. Democracy-independence trade-off in oscillating dendrites and its implications for grid cells. Neuron. 66: 429-37. PMID 20471355 DOI: 10.1016/j.neuron.2010.04.027 |
0.349 |
|
| 2010 |
Fiser J, Berkes P, Orbán G, Lengyel M. Statistically optimal perception and learning: from behavior to neural representations. Trends in Cognitive Sciences. 14: 119-30. PMID 20153683 DOI: 10.1016/J.Tics.2010.01.003 |
0.302 |
|
| 2010 |
Fiser J, Orban G, Lengyel M. Linking implicit chunk learning and the capacity of working memory Journal of Vision. 8: 213-213. DOI: 10.1167/8.6.213 |
0.32 |
|
| 2009 |
Remme MW, Lengyel M, Gutkin BS. The role of ongoing dendritic oscillations in single-neuron dynamics. Plos Computational Biology. 5: e1000493. PMID 19730677 DOI: 10.1038/Npre.2009.3335.1 |
0.367 |
|
| 2009 |
Remme MWH, Lengyel M, Gutkin BS. Requirements for a single cell mechanism of entorhinal “grid field” activity: role of dendritic oscillators and coupling Nature Precedings. DOI: 10.1038/Npre.2009.3338.1 |
0.301 |
|
| 2009 |
Lengyel M, Dayan P. Hippocampal contributions to control: The third way Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference. |
0.49 |
|
| 2009 |
Pfister JP, Dayan P, Lengyel M. Know thy neighbour: A normative theory of synaptic depression Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 1464-1472. |
0.492 |
|
| 2008 |
Latham PE, Lengyel M. Phase coding: spikes get a boost from local fields. Current Biology : Cb. 18: R349-51. PMID 18430638 DOI: 10.1016/j.cub.2008.02.062 |
0.553 |
|
| 2007 |
Lengyel M, Dayan P. Uncertainty, phase and oscillatory hippocampal recall Advances in Neural Information Processing Systems. 833-840. |
0.522 |
|
| 2005 |
Lengyel M, Kwag J, Paulsen O, Dayan P. Matching storage and recall: hippocampal spike timing-dependent plasticity and phase response curves. Nature Neuroscience. 8: 1677-83. PMID 16261136 DOI: 10.1038/Nn1561 |
0.648 |
|
| 2005 |
Huhn Z, Orbán G, Erdi P, Lengyel M. Theta oscillation-coupled dendritic spiking integrates inputs on a long time scale. Hippocampus. 15: 950-62. PMID 16108010 DOI: 10.1002/Hipo.20112 |
0.655 |
|
| 2005 |
Lengyel M, Huhn Z, Erdi P. Computational theories on the function of theta oscillations. Biological Cybernetics. 92: 393-408. PMID 15900483 DOI: 10.1007/S00422-005-0567-X |
0.64 |
|
| 2005 |
Huhn Z, 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: 331-341. DOI: 10.1016/j.neucom.2004.10.026 |
0.639 |
|
| 2005 |
Lengyel M, Dayan P. Rate-and phase-coded autoassociative memory Advances in Neural Information Processing Systems. |
0.564 |
|
| 2004 |
Lengyel M, Erdi P. Theta-modulated feedforward network generates rate and phase coded firing in the entorhino-hippocampal system. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 15: 1092-9. PMID 15484886 DOI: 10.1109/Tnn.2004.833304 |
0.655 |
|
| 2004 |
Papp G, Huhn Z, Lengyel M, Érdi P. Effect of dendritic location and different components of LTP expression on the bursting activity of hippocampal CA1 pyramidal cells Neurocomputing. 58: 691-697. DOI: 10.1016/J.Neucom.2004.01.115 |
0.589 |
|
| 2003 |
Zalányi L, Csárdi G, Kiss T, Lengyel M, Warner R, Tobochnik J, Erdi P. Properties of a random attachment growing network. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 68: 066104. PMID 14754266 DOI: 10.1103/Physreve.68.066104 |
0.567 |
|
| 2003 |
Lengyel M, Szatmáry Z, Erdi P. Dynamically detuned oscillations account for the coupled rate and temporal code of place cell firing. Hippocampus. 13: 700-14. PMID 12962315 DOI: 10.1002/Hipo.10116 |
0.646 |
|
| 2001 |
Orbán G, Kiss T, Lengyel M, Erdi P. Hippocampal rhythm generation: gamma-related theta-frequency resonance in CA3 interneurons. Biological Cybernetics. 84: 123-32. PMID 11205349 DOI: 10.1007/S004220000199 |
0.616 |
|
| 2001 |
Kiss T, Orbán G, Lengyel M, Érdi P. Intrahippocampal gamma and theta rhythm generation in a network model of inhibitory interneurons Neurocomputing. 38: 713-719. DOI: 10.1016/S0925-2312(01)00358-7 |
0.62 |
|
| 2001 |
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 (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2130: 1135-1140. DOI: 10.1007/3-540-44668-0_158 |
0.618 |
|
| 1999 |
Bazsó F, Kepecs A, Lengyel M, Payrits S, Szalisznyó K, Zalányi L, Erdi P. Single cell and population activities in cortical-like systems. Reviews in the Neurosciences. 10: 201-12. PMID 10526887 DOI: 10.1515/Revneuro.1999.10.3-4.201 |
0.617 |
|
| 1999 |
Lengyel M, Kepecs A, Érdi P. Location-dependent differences between somatic and dendritic IPSPs Neurocomputing. 26: 193-197. DOI: 10.1016/S0925-2312(99)00081-8 |
0.59 |
|
| 1996 |
Adorján P, Barna G, Erdi P, Gróbler T, Kepecs A, Lengyel M, Ventriglia F. Multicompartmental modeling of hippocampal pyramidal cells and interneurons with the GENESIS software tool. Neurobiology (Budapest, Hungary). 4: 247-9. PMID 9044354 |
0.554 |
|
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