Mate Lengyel, Ph.D.

Engineering University of Cambridge, Cambridge, England, United Kingdom 
computational neuroscience
"Mate Lengyel"
Mean distance: 13.22 (cluster 17)
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Mattar MG, Lengyel M. (2022) Planning in the brain. Neuron
Echeveste R, Aitchison L, Hennequin G, et al. (2020) Cortical-like dynamics in recurrent circuits optimized for sampling-based probabilistic inference. Nature Neuroscience
Ujfalussy BB, Makara JK, Lengyel M, et al. (2018) Global and Multiplexed Dendritic Computations under In Vivo-like Conditions. Neuron. 100: 579-592.e5
Hennequin G, Ahmadian Y, Rubin DB, et al. (2018) 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
Ujfalussy BB, Makara JK, Branco T, et al. (2015) Dendritic nonlinearities are tuned for efficient spike-based computations in cortical circuits. Elife. 4
Savin C, Dayan P, Lengyel M. (2014) Optimal recall from bounded metaplastic synapses: predicting functional adaptations in hippocampal area CA3. Plos Computational Biology. 10: e1003489
Savin C, Dayan P, Lengyel M. (2013) Correlations strike back (again): The case of associative memory retrieval Advances in Neural Information Processing Systems
Berkes P, Orbán G, Lengyel M, et al. (2011) Spontaneous cortical activity reveals hallmarks of an optimal internal model of the environment. Science (New York, N.Y.). 331: 83-7
Savin C, Dayan P, Lengyel M. (2011) 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
Pfister JP, Dayan P, Lengyel M. (2010) Synapses with short-term plasticity are optimal estimators of presynaptic membrane potentials. Nature Neuroscience. 13: 1271-5
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