Andreea Lazar
Affiliations: | Frankfurt Institute for Advanced Studies, Fijaš, Slovakia |
Website:
http://fias.uni-frankfurt.de/~lazar/Google:
"Andreea Lazar"Mean distance: 15.85 (cluster 29) | S | N | B | C | P |
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Shapcott KA, Schmiedt JT, Kouroupaki K, et al. (2020) Reward-Related Suppression of Neural Activity in Macaque Visual Area V4. Cerebral Cortex (New York, N.Y. : 1991) |
| Bányai M, Lazar A, Klein L, et al. (2019) Stimulus complexity shapes response correlations in primary visual cortex. Proceedings of the National Academy of Sciences of the United States of America |
| Singer W, Lazar A. (2016) Does the Cerebral Cortex Exploit High-Dimensional, Non-linear Dynamics for Information Processing? Frontiers in Computational Neuroscience. 10: 99 |
| Hartmann C, Lazar A, Nessler B, et al. (2015) Where's the Noise? Key Features of Spontaneous Activity and Neural Variability Arise through Learning in a Deterministic Network. Plos Computational Biology. 11: e1004640 |
| Hartmann C, Lazar A, Triesch J. (2015) Key features of neural variability emerge from self-organized sequence learning in a deterministic neural network Bmc Neuroscience. 16: 266 |
| Schwiedrzik CM, Ruff CC, Lazar A, et al. (2014) Untangling perceptual memory: hysteresis and adaptation map into separate cortical networks. Cerebral Cortex (New York, N.Y. : 1991). 24: 1152-64 |
| Lazar A, Pipa G, Triesch J. (2011) Emerging Bayesian priors in a self-organizing recurrent network Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6792: 127-134 |
| Lazar A, Pipa G, Triesch J. (2009) SORN: a self-organizing recurrent neural network. Frontiers in Computational Neuroscience. 3: 23 |
| Lazar A, Pipa G, Triesch J. (2008) Predictive coding in cortical microcircuits Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5164: 386-395 |
| Lazar A, Pipa G, Triesch J. (2007) Fading memory and time series prediction in recurrent networks with different forms of plasticity. Neural Networks : the Official Journal of the International Neural Network Society. 20: 312-22 |