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Andreea Lazar
Andreea Lazar
Ernst Strüngmann Institute for Neuroscience
Verified email at brain.mpg.de
Title
Cited by
Cited by
Year
SORN: a self-organizing recurrent neural network
A Lazar, G Pipa, J Triesch
Frontiers in computational neuroscience, 23, 2009
2582009
Untangling perceptual memory: hysteresis and adaptation map into separate cortical networks
CM Schwiedrzik, CC Ruff, A Lazar, FC Leitner, W Singer, L Melloni
Cerebral Cortex 24 (5), 1152-1164, 2014
1012014
Fading memory and time series prediction in recurrent networks with different forms of plasticity
A Lazar, G Pipa, J Triesch
Neural Networks 20 (3), 312-322, 2007
842007
Where’s the noise? Key features of spontaneous activity and neural variability arise through learning in a deterministic network
C Hartmann, A Lazar, B Nessler, J Triesch
PLoS computational biology 11 (12), e1004640, 2015
542015
Stimulus complexity shapes response correlations in primary visual cortex
M Bányai, A Lazar, L Klein, J Klon-Lipok, M Stippinger, W Singer, G Orbán
Proceedings of the National Academy of Sciences 116 (7), 2723-2732, 2019
362019
Does the cerebral cortex exploit high-dimensional, non-linear dynamics for information processing?
W Singer, A Lazar
Frontiers in computational neuroscience 10, 99, 2016
332016
Emerging bayesian priors in a self-organizing recurrent network
A Lazar, G Pipa, J Triesch
International Conference on Artificial Neural Networks, 127-134, 2011
152011
Predictability in natural images determines v1 firing rates and synchronization: A deep neural network approach
C Uran, AS Peter, A Lazar, W Barnes, J Klon-Lipok, KA Shapcott, ...
bioRxiv, 2020
11*2020
Cortical gamma-band resonance preferentially transmits coherent input
CM Lewis, J Ni, T Wunderle, P Jendritza, A Lazar, I Diester, P Fries
Cell reports 35 (5), 109083, 2021
102021
Orienting towards ensembles: from single cells to neural populations
CM Lewis, AE Lazar
Journal of Neuroscience 33 (1), 2-3, 2013
82013
Key features of neural variability emerge from self-organized sequence learning in a deterministic neural network
C Hartmann, A Lazar, J Triesch
BMC Neuroscience 16 (1), 1-2, 2015
52015
Visual exposure optimizes stimulus encoding in primary visual cortex
A Lazar, C Lewis, P Fries, W Singer, D Nikolic
bioRxiv, 502328, 2018
42018
Where’s the noise? Key features of neuronal variability and inference emerge from self-organized learning
C Hartmann, A Lazar, J Triesch
bioRxiv, 011296, 2014
42014
Predictive coding of natural images by V1 firing rates and rhythmic synchronization
C Uran, A Peter, A Lazar, W Barnes, J Klon-Lipok, KA Shapcott, R Roese, ...
Neuron 110 (7), 1240-1257. e8, 2022
32022
Reward-related suppression of neural activity in macaque visual area v4
KA Shapcott, JT Schmiedt, K Kouroupaki, R Kienitz, A Lazar, W Singer, ...
Cerebral Cortex 30 (9), 4871-4881, 2020
32020
Stimulus content shapes cortical response statistics
M Bányai, A Lazar, L Klein, J Klon-Lipok, W Singer, G Orbán
bioRxiv, 238774, 2017
32017
Self-organizing Recurrent Neural Networks
A Lazar
Goethe University Frankfurt, Frankfurt am Main, Germany, 2009
32009
Predictive coding in cortical microcircuits
A Lazar, G Pipa, J Triesch
International Conference on Artificial Neural Networks, 386-395, 2008
32008
Visual exposure enhances stimulus encoding and persistence in primary cortex
A Lazar, C Lewis, P Fries, W Singer, D Nikolic
Proceedings of the National Academy of Sciences 118 (43), e2105276118, 2021
12021
Cortical resonance selects coherent input
CM Lewis, J Ni, T Wunderle, P Jendritza, A Lazar, I Diester, P Fries
bioRxiv, 2020
2020
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