Andreea Lazar
Andreea Lazar
Ernst Strüngmann Institute for Neuroscience
Verified email at brain.mpg.de
TitleCited byYear
SORN: a self-organizing recurrent neural network
A Lazar, G Pipa, J Triesch
Frontiers in computational neuroscience 3, 23, 2009
1902009
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, 2012
792012
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
722007
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
182015
Does the cerebral cortex exploit high-dimensional, non-linear dynamics for information processing?
W Singer, A Lazar
Frontiers in computational neuroscience 10, 99, 2016
172016
Emerging bayesian priors in a self-organizing recurrent network
A Lazar, G Pipa, J Triesch
International Conference on Artificial Neural Networks, 127-134, 2011
112011
Orienting towards ensembles: from single cells to neural populations
CM Lewis, AE Lazar
Journal of Neuroscience 33 (1), 2-3, 2013
82013
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
52019
Predictive coding in cortical microcircuits
A Lazar, G Pipa, J Triesch
International Conference on Artificial Neural Networks, 386-395, 2008
32008
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
22014
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), P266, 2015
12015
Self-organizing Recurrent Neural Networks
A Lazar
Goethe University Frankfurt, Frankfurt am Main, Germany, 2009
12009
Visual exposure optimizes stimulus encoding in primary visual cortex
A Lazar, C Lewis, P Fries, W Singer, D Nikolic
bioRxiv, 502328, 2018
2018
Stimulus content shapes cortical response statistics
M Bányai, A Lazar, L Klein, J Klon-Lipok, W Singer, G Orbán
bioRxiv, 238774, 2017
2017
Spontaneous activity in a self-organizing recurrent network reflects prior learning
A Lazar, G Pipa, J Triesch
Front. Neurosci. Conference Abstract: Computational and Systems Neuroscience, 2010
2010
Shape your liquid with plasticity!
A Lazar, G Pipa, J Triesch
The system can't perform the operation now. Try again later.
Articles 1–16