Máté Lengyel

40 papers A* 6B 6C 1Journal 15Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Hierarchical Successor Representation for Robust Transfer. CoRR Changmin Yu, Máté Lengyel
2025	J	`jnl`	A flexible Bayesian non-parametric mixture model reveals multiple dependencies of swap errors in visual working memory. CoRR Puria Radmard, Paul M. Bays, Máté Lengyel
2025	A*	`conf`	Discovering Temporally Compositional Neural Manifolds with Switching Infinite GPFA. ICLR Changmin Yu, Maneesh Sahani, Máté Lengyel
2025	J	`jnl`	Dynamical stability for dense patterns in discrete attractor neural networks. CoRR Uri Cohen, Máté Lengyel
2025	J	`jnl`	Setting up for failure: automatic discovery of the neural mechanisms of cognitive errors. CoRR Puria Radmard, Paul M. Bays, Máté Lengyel
2024	A*	`conf`	Second-order forward-mode optimization of recurrent neural networks for neuroscience. NeurIPS Youjing Yu, Rui Xia, Qingxi Ma, Máté Lengyel, Guillaume Hennequin
2023	A*	`conf`	Bayesian nonparametric (non-)renewal processes for analyzing neural spike train variability. NeurIPS David Liu, Máté Lengyel
2022	A*	`conf`	Training stochastic stabilized supralinear networks by dynamics-neutral growth. NeurIPS Wayne Soo, Máté Lengyel
2021	A*	`conf`	A universal probabilistic spike count model reveals ongoing modulation of neural variability. NeurIPS David Liu, Máté Lengyel
2019	B	`conf`	Confirmation Bias Trumps Performance Optimization in Overt Active Learning. CogSci Yul Kang, Daniel M. Wolpert, Máté Lengyel
2019	B	`conf`	To Teach Better, Learn First. CogSci Oana Stanciu, Máté Lengyel, József Fiser
2018	A*	`conf`	Exact natural gradient in deep linear networks and its application to the nonlinear case. NeurIPS Alberto Bernacchia, Máté Lengyel, Guillaume Hennequin
2017	B	`conf`	Perceptual decision making from correlated samples. CogSci Oana Stanciu, Máté Lengyel, Daniel M. Wolpert, József Fiser
2016	—	`conf`	Efficient state-space modularization for planning: theory, behavioral and neural signatures. NIPS Daniel C. McNamee, Daniel M. Wolpert, Máté Lengyel
2016	B	`conf`	Is human learning driven by Prediction Error? CogSci Jirí Cevora, Máté Lengyel, Richard N. Henson
2016	J	`jnl`	The Hamiltonian Brain: Efficient Probabilistic Inference with Excitatory-Inhibitory Neural Circuit Dynamics. PLoS Comput. Biol. Laurence Aitchison, Máté Lengyel
2014	—	`conf`	A Dual Algorithm for Olfactory Computation in the Locust Brain. NIPS Sina Tootoonian, Máté Lengyel
2014	—	`conf`	Analog Memories in a Balanced Rate-Based Network of E-I Neurons. NIPS Dylan Festa, Guillaume Hennequin, Máté Lengyel
2014	—	`conf`	Fast Sampling-Based Inference in Balanced Neuronal Networks. NIPS Guillaume Hennequin, Laurence Aitchison, Máté Lengyel
2014	J	`jnl`	Optimal Recall from Bounded Metaplastic Synapses: Predicting Functional Adaptations in Hippocampal Area CA3. PLoS Comput. Biol. Cristina Savin, Peter Dayan, Máté Lengyel
2013	—	`conf`	Correlations strike back (again): the case of associative memory retrieval. NIPS Cristina Savin, Peter Dayan, Máté Lengyel
2011	—	`conf`	Active dendrites: adaptation to spike-based communication. NIPS Balázs Ujfalussy, Máté Lengyel
2011	J	`jnl`	Bayesian Active Learning for Classification and Preference Learning CoRR Neil Houlsby, Ferenc Huszar, Zoubin Ghahramani, Máté Lengyel
2011	—	`conf`	Two is better than one: distinct roles for familiarity and recollection in retrieving palimpsest memories. NIPS Cristina Savin, Peter Dayan, Máté Lengyel
2009	—	`conf`	Know Thy Neighbour: A Normative Theory of Synaptic Depression. NIPS Jean-Pascal Pfister, Peter Dayan, Máté Lengyel
2009	J	`jnl`	The Role of Ongoing Dendritic Oscillations in Single-Neuron Dynamics. PLoS Comput. Biol. Michiel W. H. Remme, Máté Lengyel, Boris S. Gutkin
2007	—	`conf`	Hippocampal Contributions to Control: The Third Way. NIPS Máté Lengyel, Peter Dayan
2006	—	`conf`	Uncertainty, phase and oscillatory hippocampal recall. NIPS Máté Lengyel, Peter Dayan
2005	—	`conf`	Bayesian model learning in human visual perception. NIPS Gergo Orbán, József Fiser, Richard N. Aslin, Máté Lengyel
2005	J	`jnl`	Computational theories on the function of theta oscillations. Biol. Cybern. Máté Lengyel, Zsófia Huhn, Péter Érdi
2005	J	`jnl`	Dendritic spiking accounts for rate and phase coding in a biophysical model of a hippocampal place cell. Neurocomputing Zsófia Huhn, Máté Lengyel, Gergo Orbán, Péter Érdi
2004	B	`conf`	Dendritic spiking accounts for rate and phase coding in a biophysical model of a hippocampal place cell. IJCNN Zsófia Huhn, Máté Lengyel, Gergo Orbán, Péter Érdi
2004	J	`jnl`	Effect of dendritic location and different components of LTP expression on the bursting activity of hippocampal CA1 pyramidal cells. Neurocomputing Gergely Papp, Zsófia Huhn, Máté Lengyel, Péter Érdi
2004	—	`conf`	Rate- and Phase-coded Autoassociative Memory. NIPS Máté Lengyel, Peter Dayan
2004	J	`jnl`	Theta-modulated feedforward network generates rate and phase coded firing in the entorhino-hippocampal system. IEEE Trans. Neural Networks Máté Lengyel, Péter Érdi
2001	C	`conf`	Episodic Memory and Cognitive Map in a Rate Model Network of the Rat Hippocampus. ICANN Fanni Misják, Máté Lengyel, Péter Érdi
2001	J	`jnl`	Hippocampal rhythm generation: Gamma-related theta-frequency resonance in CA3 interneurons. Biol. Cybern. Gergo Orbán, Tamás Kiss, Máté Lengyel, Péter Érdi
2001	J	`jnl`	Intrahippocampal gamma and theta rhythm generation in a network model of inhibitory interneurons. Neurocomputing Tamás Kiss, Gergo Orbán, Máté Lengyel, Péter Érdi
1999	J	`jnl`	Location-dependent differences between somatic and dendritic IPSPs. Neurocomputing Máté Lengyel, Ádám Kepecs, Péter Érdi
1998	B	`conf`	Dynamics of the Hippocampus: Multiple Strategies. ICONIP Péter Érdi, Ádám Kepecs, Máté Lengyel, Klaus Obermayer, Zoltán Szatmáry