Máté Lengyel

发表

The Hamiltonian Brain: Efficient Probabilistic Inference with Excitatory-Inhibitory Neural Circuit Dynamics

Laurence Aitchison, Máté Lengyel, M. Lengyel, 2014, PLoS Comput. Biol..

Bayesian Active Learning for Classification and Preference Learning pdf

Zoubin Ghahramani, Neil Houlsby, Máté Lengyel, 2011, ArXiv.

With or without you: predictive coding and Bayesian inference in the brain

Laurence Aitchison, Máté Lengyel, M. Lengyel, 2017, Current Opinion in Neurobiology.

Episodic Memory and Cognitive Map in a Rate Model Network of the Rat Hippocampus

Péter Érdi, Máté Lengyel, Fanni Misják, 2001, International Conference on Artificial Neural Networks.

Efficient state-space modularization for planning: theory, behavioral and neural signatures

Daniel M. Wolpert, Máté Lengyel, Daniel McNamee, 2016, NIPS.

Bayesian model learning in human visual perception

Richard N. Aslin, József Fiser, Máté Lengyel, 2005, NIPS.

Ideal Bayesian learning in human scene perception

József Fiser, Máté Lengyel, Gergo Orban, 2007 .

The role of time in human decision-making

József Fiser, Máté Lengyel, Marjena Popović, 2013 .

Learning objects by learning models: finding independent causes and preferring simplicity

Richard N. Aslin, Máté Lengyel, Gergo Orban, 2006 .

Spontaneous Cortical Activity Reveals Hallmarks of an Optimal Internal Model of the Environment

József Fiser, Máté Lengyel, Pietro Berkes, 2011, Science.

Dendritic spiking accounts for rate and phase coding in a biophysical model of a hippocampal place cell

Péter Érdi, Máté Lengyel, Gergő Orbán, 2004 .

Know Thy Neighbour: A Normative Theory of Synaptic Depression

Jean-Pascal Pfister, Peter Dayan, Máté Lengyel, 2009, NIPS.

Rate- and Phase-coded Autoassociative Memory

Peter Dayan, Máté Lengyel, P. Dayan, 2004, NIPS.

Location-dependent differences between somatic and dendritic IPSPs

Péter Érdi, Ádám Kepecs, Máté Lengyel, 1999, Neurocomputing.

Matching spontaneous and evoked activity in V1: a hallmark of probabilistic inference

József Fiser, Máté Lengyel, Gergo Orban, 2009 .

Time to decide: sampling based representation of uncertainty in human vision

József Fiser, Máté Lengyel, Marjena Popović, 2012 .

Simultaneous representation of uncertainty about multiple low-level visual elements

József Fiser, Máté Lengyel, Marjena Popović, 2011 .

V1 activity as Bayesian inference

József Fiser, Máté Lengyel, Gergo Orban, 2007 .

Dendritic spiking accounts for rate and phase coding in a biophysical model of a hippocampal place cell

Péter Érdi, Máté Lengyel, Zsófia Huhn, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

Two is better than one: distinct roles for familiarity and recollection in retrieving palimpsest memories

Peter Dayan, Máté Lengyel, Cristina Savin, 2011, NIPS.

Optimal Recall from Bounded Metaplastic Synapses: Predicting Functional Adaptations in Hippocampal Area CA3

Peter Dayan, Máté Lengyel, Cristina Savin, 2014, PLoS Comput. Biol..

Decoding the activity of neural networks: biological decoding and constant metric content

Péter Érdi, Máté Lengyel, A Treves, 2003 .

Dynamics of the Hippocampus: Multiple Strategies

Péter Érdi, Klaus Obermayer, Ádám Kepecs, 1998, ICONIP.

Theta-modulated feedforward network generates rate and phase coded firing in the entorhino-hippocampal system

Péter Érdi, Máté Lengyel, M. Lengyel, 2004, IEEE Transactions on Neural Networks.

Hippocampal Contributions to Control: The Third Way

Peter Dayan, Máté Lengyel, P. Dayan, 2007, NIPS.

Perceptual decision making from correlated samples

Daniel M. Wolpert, Oana Stanciu, József Fiser, 2017, CogSci.

Unimodal statistical learning produces multimodal object-like representations

Daniel M Wolpert, József Fiser, Máté Lengyel, 2019, eLife.

Linking implicit chunk learning and the capacity of working memory

József Fiser, Máté Lengyel, Gergo Orban, 2010 .

Bayesian learning of visual chunks by human observers

Richard N Aslin, József Fiser, Máté Lengyel, 2008, Proceedings of the National Academy of Sciences.

The Redemption of Noise: Inference with Neural Populations

Máté Lengyel, Rodrigo Echeveste, 2018, Trends in Neurosciences.

Exact natural gradient in deep linear networks and its application to the nonlinear case

Guillaume Hennequin, Máté Lengyel, Alberto Bernacchia, 2018, NeurIPS.

Hippocampal rhythm generation: Gamma-related theta-frequency resonance in CA3 interneurons

Péter Érdi, Tamás Kiss, Máté Lengyel, 2001, Biological Cybernetics.

Computing with spikes

Máté Lengyel, M. Lengyel, 2006 .

Analog Memories in a Balanced Rate-Based Network of E-I Neurons

Guillaume Hennequin, Máté Lengyel, Dylan Festa, 2014, NIPS.

Effect of dendritic location and different components of LTP expression on the bursting activity of hippocampal CA1 pyramidal cells

Péter Érdi, Máté Lengyel, Gergely Papp, 2004, Neurocomputing.

Bayesian model selection in human visual perception

József Fiser, Máté Lengyel, Gergo Orban, 2005 .

Beyond pair-wise statistics in visual scene perception

József Fiser, Máté Lengyel, Gergo Orban, 2010 .

Active sensing in the categorization of visual patterns

Scott Cheng-Hsin Yang, Daniel M Wolpert, Máté Lengyel, 2016, eLife.

Coarse-to-fine learning in scene perception: Bayes trumps Hebb

József Fiser, Máté Lengyel, Gergo Orban, 2010 .

Odour coding and organisational logic of the lateral horn.

Gregory S.X.E. Jefferis, Máté Lengyel, Sina Tootoonian, 2016 .

Uncertainty, phase and oscillatory hippocampal recall

Peter Dayan, Máté Lengyel, P. Dayan, 2006, NIPS.

Neuronal biophysics: optimised for information processing?

Peter Dayan, Máté Lengyel, Balazs Ujfalussy, 2011 .

Uncertainty representation of low-level visual attributes

József Fiser, Máté Lengyel, Marjena Popović, 2011 .

A Dual Algorithm for Olfactory Computation in the Locust Brain

Máté Lengyel, Sina Tootoonian, M. Lengyel, 2014, NIPS.

Goal-Directed Decision Making with Spiking Neurons

Máté Lengyel, Johannes Friedrich, M. Lengyel, 2016, The Journal of Neuroscience.

Computational theories on the function of theta oscillations

Péter Érdi, Máté Lengyel, Zsófia Huhn, 2005, Biological Cybernetics.

Intrahippocampal gamma and theta rhythm generation in a network model of inhibitory interneurons

Péter Érdi, Tamás Kiss, Máté Lengyel, 2001, Neurocomputing.

Is human learning driven by Prediction Error?

Máté Lengyel, Richard Henson, Jirí Cevora, 2016, CogSci.

Matching storage and recall: spike timing-dependent plasticity and phase response curves in the hippocampus. Workshop on Phase response curves: where theory and experiments intersect

Máté Lengyel, 2006 .

Neural Variability and Sampling-Based Probabilistic Representations in the Visual Cortex

József Fiser, Máté Lengyel, Gergő Orbán, 2016, Neuron.

Correlations strike back (again): the case of associative memory retrieval

Peter Dayan, Máté Lengyel, Cristina Savin, 2013, NIPS.

Probabilistic computation: A possible functional role for spontaneous activity in the cortex

József Fiser, Máté Lengyel, Gergo Orban, 2011 .

Theoretical perspectives on active sensing

Scott Cheng-Hsin Yang, Daniel M Wolpert, Máté Lengyel, 2016, Current Opinion in Behavioral Sciences.

Using temporal associations to model the development of place fields in a novel environment

Péter Érdi, Klaus Obermayer, Máté Lengyel, 1998 .

Fast Sampling-Based Inference in Balanced Neuronal Networks

Guillaume Hennequin, Laurence Aitchison, Máté Lengyel, 2014, NIPS.

The Role of Ongoing Dendritic Oscillations in Single-Neuron Dynamics

Boris S. Gutkin, Máté Lengyel, Michiel W. H. Remme, 2009, PLoS Comput. Biol..

Active dendrites: adaptation to spike-based communication

Máté Lengyel, Balázs Ujfalussy, M. Lengyel, 2011, NIPS.

Phase Coding: Spikes Get a Boost from Local Fields

Peter E. Latham, Máté Lengyel, P. Latham, 2008, Current Biology.

Hippocampal rhythm generation: gamma related theta frequency

Péter Érdi, Máté Lengyel, Gergo Orban, 2000 .

Stabilized supralinear network dynamics account for stimulus-induced changes of noise variability in the cortex

Guillaume Hennequin, Máté Lengyel, Yashar Ahmadian, 2016, bioRxiv.

Theta oscillation‐coupled dendritic spiking integrates inputs on a long time scale

Máté Lengyel, Zsófia Huhn, Gergo Orbán, 2005, Hippocampus.

Statistical Treatment of Looking-Time Data

Máté Lengyel, Mikołaj Hernik, Gergely Csibra, 2016, Developmental psychology.

The Dynamical Regime of Sensory Cortex: Stable Dynamics around a Single Stimulus-Tuned Attractor Account for Patterns of Noise Variability

Guillaume Hennequin, Kenneth D. Miller, Máté Lengyel, 2018, Neuron.

Dendritic nonlinearities are tuned for efficient spike-based computations in cortical circuits

Tiago Branco, Máté Lengyel, Judit K. Makara, 2015, eLife.

Properties of a random attachment growing network.

Jan Tobochnik, Máté Lengyel, Gábor Csárdi, 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

Democracy-Independence Trade-Off in Oscillating Dendrites and Its Implications for Grid Cells

Boris S. Gutkin, Máté Lengyel, Michiel W. H. Remme, 2010, Neuron.