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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 3, 800, 2009
2842009
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
1182014
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
972007
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
642015
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
492019
Does the cerebral cortex exploit high-dimensional, non-linear dynamics for information processing?
W Singer, A Lazar
Frontiers in computational neuroscience 10, 99, 2016
452016
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
332022
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), 2021
292021
Emerging Bayesian priors in a self-organizing recurrent network
A Lazar, G Pipa, J Triesch
Artificial Neural Networks and Machine Learning–ICANN 2011: 21st …, 2011
152011
Predictability in natural images determines V1 firing rates and synchronization: A deep neural network approach
C Uran, A Peter, A Lazar, W Barnes, J Klon-Lipok, KA Shapcott, R Roese, ...
bioRxiv, 2020.08. 10.242958, 2020
11*2020
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
102021
Orienting towards ensembles: from single cells to neural populations
CM Lewis, AE Lazar
Journal of Neuroscience 33 (1), 2-3, 2013
82013
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
72020
Visual exposure optimizes stimulus encoding in primary visual cortex
A Lazar, C Lewis, P Fries, W Singer, D Nikolic
bioRxiv, 502328, 2018
42018
Robust encoding of natural stimuli by neuronal response sequences in monkey visual cortex
Y Yiling, K Shapcott, A Peter, J Klon-Lipok, H Xuhui, A Lazar, W Singer
Nature Communications 14 (1), 3021, 2023
32023
Stimulus content shapes cortical response statistics
M Bányai, A Lazar, L Klein, J Klon-Lipok, W Singer, G Orbán
bioRxiv, 238774, 2017
32017
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
32014
Predictive coding in cortical microcircuits
A Lazar, G Pipa, J Triesch
Artificial Neural Networks-ICANN 2008: 18th International Conference, Prague …, 2008
32008
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 (Suppl 1), P266, 2015
22015
Self-organizing Recurrent Neural Networks
A Lazar
Goethe University Frankfurt, Frankfurt am Main, Germany, 2009
22009
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