Dynamics of the Hippocampus: Multiple Strategies. - Péter Érdi; Ádám Kepecs; Máté Lengyel; Klaus Obermayer; Zoltán Szatmáry (ICONIP, 1998)

Location-dependent differences between somatic and dendritic IPSPs. - Máté Lengyel; Ádám Kepecs; Péter Érdi (Neurocomputing, 1999)

Episodic Memory and Cognitive Map in a Rate Model Network of the Rat Hippocampus. - Fanni Misják; Máté Lengyel; Péter Érdi (ICANN, 2001)

Hippocampal rhythm generation: Gamma-related theta-frequency resonance in CA3 interneurons. - Gergo Orbán; Tamás Kiss; Máté Lengyel; Péter Érdi (Biol. Cybern., 2001)

Intrahippocampal gamma and theta rhythm generation in a network model of inhibitory interneurons. - Tamás Kiss; Gergo Orbán; Máté Lengyel; Péter Érdi (Neurocomputing, 2001)

Rate- and Phase-coded Autoassociative Memory. - Máté Lengyel; Peter Dayan (NIPS, 2004)

Effect of dendritic location and different components of LTP expression on the bursting activity of hippocampal CA1 pyramidal cells. - Gergely Papp; Zsófia Huhn; Máté Lengyel; Péter Érdi (Neurocomputing, 2004)

Theta-modulated feedforward network generates rate and phase coded firing in the entorhino-hippocampal system. - Máté Lengyel; Péter Érdi (IEEE Trans. Neural Networks, 2004)

Bayesian model learning in human visual perception. - Gergo Orbán; József Fiser; Richard N. Aslin; Máté Lengyel (NIPS, 2005)

Computational theories on the function of theta oscillations. - Máté Lengyel; Zsófia Huhn; Péter Érdi (Biol. Cybern., 2005)

Dendritic spiking accounts for rate and phase coding in a biophysical model of a hippocampal place cell. - Zsófia Huhn; Máté Lengyel; Gergo Orbán; Péter Érdi (Neurocomputing, 2005)

Uncertainty, phase and oscillatory hippocampal recall. - Máté Lengyel; Peter Dayan (NIPS, 2006)

Hippocampal Contributions to Control: The Third Way. - Máté Lengyel; Peter Dayan (NIPS, 2007)

Know Thy Neighbour: A Normative Theory of Synaptic Depression. - Jean-Pascal Pfister; Peter Dayan; Máté Lengyel (NIPS, 2009)

The Role of Ongoing Dendritic Oscillations in Single-Neuron Dynamics. - Michiel W. H. Remme; Máté Lengyel; Boris S. Gutkin (PLoS Comput. Biol., 2009)

Two is better than one: distinct roles for familiarity and recollection in retrieving palimpsest memories. - Cristina Savin; Peter Dayan; Máté Lengyel (NIPS, 2011)

Active dendrites: adaptation to spike-based communication. - Balázs Ujfalussy; Máté Lengyel (NIPS, 2011)

Bayesian Active Learning for Classification and Preference Learning - Neil Houlsby; Ferenc Huszar; Zoubin Ghahramani; Máté Lengyel (CoRR, 2011)

Correlations strike back (again): the case of associative memory retrieval. - Cristina Savin; Peter Dayan; Máté Lengyel (NIPS, 2013)

Analog Memories in a Balanced Rate-Based Network of E-I Neurons. - Dylan Festa; Guillaume Hennequin; Máté Lengyel (NIPS, 2014)

Fast Sampling-Based Inference in Balanced Neuronal Networks. - Guillaume Hennequin; Laurence Aitchison; Máté Lengyel (NIPS, 2014)

A Dual Algorithm for Olfactory Computation in the Locust Brain. - Sina Tootoonian; Máté Lengyel (NIPS, 2014)

Optimal Recall from Bounded Metaplastic Synapses: Predicting Functional Adaptations in Hippocampal Area CA3. - Cristina Savin; Peter Dayan; Máté Lengyel (PLoS Comput. Biol., 2014)

Is human learning driven by Prediction Error? - Jirí Cevora; Máté Lengyel; Richard N. Henson (CogSci, 2016)

Efficient state-space modularization for planning: theory, behavioral and neural signatures. - Daniel C. McNamee; Daniel M. Wolpert; Máté Lengyel (NIPS, 2016)

The Hamiltonian Brain: Efficient Probabilistic Inference with Excitatory-Inhibitory Neural Circuit Dynamics. - Laurence Aitchison; Máté Lengyel (PLoS Comput. Biol., 2016)

Perceptual decision making from correlated samples. - Oana Stanciu; Máté Lengyel; Daniel M. Wolpert; József Fiser (CogSci, 2017)

Exact natural gradient in deep linear networks and its application to the nonlinear case. - Alberto Bernacchia; Máté Lengyel; Guillaume Hennequin (NeurIPS, 2018)

Confirmation Bias Trumps Performance Optimization in Overt Active Learning. - Yul Kang; Daniel M. Wolpert; Máté Lengyel (CogSci, 2019)

To Teach Better, Learn First. - Oana Stanciu; Máté Lengyel; József Fiser (CogSci, 2019)

A universal probabilistic spike count model reveals ongoing modulation of neural variability. - David Liu 005; Máté Lengyel (NeurIPS, 2021)

Training stochastic stabilized supralinear networks by dynamics-neutral growth. - Wayne Soo; Máté Lengyel (NeurIPS, 2022)

Bayesian nonparametric (non-)renewal processes for analyzing neural spike train variability. - David Liu; Máté Lengyel (NeurIPS, 2023)

Second-order forward-mode optimization of recurrent neural networks for neuroscience. - Youjing Yu; Rui Xia; Qingxi Ma; Máté Lengyel; Guillaume Hennequin (NeurIPS, 2024)

Discovering Temporally Compositional Neural Manifolds with Switching Infinite GPFA. - Changmin Yu; Maneesh Sahani; Máté Lengyel (ICLR, 2025)

Behavioural data, Bayesian Priors in Active Avoidance. - Tobias Granwald; Peter Dayan; Máté Lengyel; Marc Guitart-Masip (Zenodo, 2025)

A flexible Bayesian non-parametric mixture model reveals multiple dependencies of swap errors in visual working memory. - Puria Radmard; Paul M. Bays; Máté Lengyel (CoRR, 2025)

Dynamical stability for dense patterns in discrete attractor neural networks. - Uri Cohen; Máté Lengyel (CoRR, 2025)