Selected publications of the Center for Cognitive Computation:
2022
Statistical Learning in Vision
G LENGYEL, J FISER
Annual Review Vision Science 2022. 8:X–X (in press)
Adaptive erasure of spurious sequences in sensory cortical circuits
A BERNACCHIA, J FISER, G HENNEQUIN, M LENGYEL
Neuron (2022) 110, 1–12
Planning in the brain
M G MATTAR, M LENGYEL
Neuron (2022) 110, 914-934
2021
A universal probabilistic spike count model reveals ongoing modulation of neural variability
D LIU, M LENGYEL
bioRxiv 2021.06.27.450063 (Accepted to NeurIPS)
Contextual inference underlies the learning of sensorimotor repertoire?
J B HEALD, M LENGYEL, D M WOLPERT
Nature (2021) 600(7889):489-493
Representations of uncertainty: where art thou?
Á KOBLINGER, J FISER, M LENGYEL
Current Opinion in Behavioral Sciences (2021), 38:150–162
Statistically defined visual chunks engage object-based attention
G LENGYEL, M NAGY, J FISER
Nature Communications 12: 272 (2021)
2020
Optimal forgetting: Semantic compression of episodic memories
DG Nagy, B Török, G Orbán
PLOS COMPUTATIONAL BIOLOGY 16(10):e1008367.
Individualised dynamic internal representations from response times
B Török, DG Nagy, MM Kiss, K Janacsek, D Németh, G Orbán
biORXIV 2020.06.22.163295
Cortical-like dynamics in recurrent circuits optimized for sampling-based probabilistic inference
R Echeveste, L Aitchison, G Hennequin, M Lengyel
Nature Neuroscience 23, 1138–1149
Different mechanisms underlie implicit visual statistical learning in honey bees and humans
A Avarguès-Weber, V Finke, M Nagy, T Szabó, D d’Amaro, AG Dyer, J Fiser
Proceedings of the National Academy of Sciences Oct 2020, 117 (41)
Learning in the eyes: specific changes in gaze patterns track explicit and implicit visual learning
J Arato, CA Rothkopf, J Fiser
BIOARXIV 2020.08.03.234039
2019
A common probabilistic framework for perceptual and statistical learning
J Fiser, G Lengyel
Current opinion in neurobiology 58, 218-228
Noise correlations and perceptual inference
Bányai M, Orbán G
Current Opinion in Neurobiology, 58: 209-217.
Representational untangling by the firing rate nonlinearity in V1 simple cells
ME Polack P-O, Golshani P, Lengyel M, Orbán G
eLife, 8:e43625 doi: 10.7554/eLife.43625
Stimulus complexity shapes response correlations in primary visual cortex
Bányai M, Lazar A, Klein L, Klon-Lipok J, Stippinger M, Singer W, and Orbán G
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES, 10.1073/pnas.1816766116.
Unimodal statistical learning produces multimodal object-like representations.
LENGYEL G, ŽALALYTĖ G, PANTELIDES A, INGRAM JN, FISER J, LENGYEL M & WOLPERT DM
ELIFE 8:E43942
2018
Global and multiplexed dendritic computations under in vivo-like conditions.
Ujfalussy BB, Makara JK, Lengyel M*, Branco T*. (*equal contributions)
Neuron 100:579-592
The dynamical regime of sensory cortex: stable dynamics around a single stimulus-tuned attractor account for patterns of noise variability.
Hennequin G, Ahmadian Y#, Rubin DB#, Lengyel M*, Miller KD*. (#*equal contributions)
Neuron 98(4):846-860
2016
Perceptual decision-making as probabilistic inference by neural sampling
RM Haefner, P Berkes, J Fiser
Neuron 90 (3), 649-660
Neural variability and sampling-based probabilistic representations in the visual cortex.
Orbán G, Berkes P, Fiser J, Lengyel M
Neuron, 92:530–543.
Episodic memory as a prerequisite for online updates of model structure.
Nagy DG, Orbán G
Proceedings of the 38th Annual Conference of the Cognitive Science Society, 2699-2704.
Active sensing in the categorization of visual patterns.
Yang S-CH, Lengyel M*, Wolpert DM*. (*equal contributions)
eLife 5:e12215
2013
Age-dependent and coordinated shift in performance between implicit and explicit skill learning
D Nemeth, K Janacsek, J Fiser
Frontiers in computational neuroscience 7, 147
Cognitive tomography reveals complex, task-independent mental representations.
Houlsby NMT, Huszár F, Ghassemi MM, Orbán G, Wolpert DM, Lengyel M
Current Biology 23: 2169-2175
2011
Spontaneous cortical activity reveals hallmarks of an optimal internal model of the environment
P Berkes, G Orbán, M Lengyel, J Fiser
Science 331 (6013), 83-87
2010
Statistically optimal perception and learning: from behavior to neural representations
J Fiser, P Berkes, G Orbán, M Lengyel
Trends in cognitive sciences 14 (3), 119-130
2008
Bayesian learning of visual chunks by human observers
G Orbán, J Fiser, RN Aslin, M Lengyel
Proceedings of the National Academy of Sciences 105 (7), 2745-2750
2005
Encoding multielement scenes: statistical learning of visual feature hierarchies.
J Fiser, RN Aslin
Journal of Experimental Psychology: General 134 (4), 521
2004
Small modulation of ongoing cortical dynamics by sensory input during natural vision
J Fiser, C Chiu, M Weliky
Nature 431 (7008), 573
2002
Statistical learning of new visual feature combinations by infants
J Fiser, RN Aslin
Proceedings of the National Academy of Sciences 99 (24), 15822-15826
2001
Unsupervised statistical learning of higher-order spatial structures from visual scenes
J Fiser, RN Aslin
Psychological science 12 (6), 499-504
1998
Distance modulation of neural activity in the visual cortex
AC Dobbins, RM Jeo, J Fiser, JM Allman
Science 281 (5376), 552-555
All publications:
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Publications of the Computational Learning and Memory Group |
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Publications of the Computational Systems Neuroscience Lab |
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Publications of the VisionLab |
