Andreea Lazar - Publications

Affiliations: 
Frankfurt Institute for Advanced Studies, Fijaš, Slovakia 
Website:
http://fias.uni-frankfurt.de/~lazar/

10 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Shapcott KA, Schmiedt JT, Kouroupaki K, Kienitz R, Lazar A, Singer W, Schmid MC. Reward-Related Suppression of Neural Activity in Macaque Visual Area V4. Cerebral Cortex (New York, N.Y. : 1991). PMID 32350517 DOI: 10.1093/Cercor/Bhaa079  0.335
2019 Bányai M, Lazar A, Klein L, Klon-Lipok J, Stippinger M, Singer W, Orbán G. Stimulus complexity shapes response correlations in primary visual cortex. Proceedings of the National Academy of Sciences of the United States of America. PMID 30692266 DOI: 10.1073/Pnas.1816766116  0.35
2016 Singer W, Lazar A. Does the Cerebral Cortex Exploit High-Dimensional, Non-linear Dynamics for Information Processing? Frontiers in Computational Neuroscience. 10: 99. PMID 27713697 DOI: 10.3389/Fncom.2016.00099  0.359
2015 Hartmann C, Lazar A, Nessler B, Triesch J. Where's the Noise? Key Features of Spontaneous Activity and Neural Variability Arise through Learning in a Deterministic Network. Plos Computational Biology. 11: e1004640. PMID 26714277 DOI: 10.1371/Journal.Pcbi.1004640  0.621
2015 Hartmann C, Lazar A, Triesch J. Key features of neural variability emerge from self-organized sequence learning in a deterministic neural network Bmc Neuroscience. 16: 266. DOI: 10.1186/1471-2202-16-S1-P266  0.603
2014 Schwiedrzik CM, Ruff CC, Lazar A, Leitner FC, Singer W, Melloni L. Untangling perceptual memory: hysteresis and adaptation map into separate cortical networks. Cerebral Cortex (New York, N.Y. : 1991). 24: 1152-64. PMID 23236204 DOI: 10.1093/Cercor/Bhs396  0.619
2011 Lazar A, Pipa G, Triesch J. 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. DOI: 10.1007/978-3-642-21738-8_17  0.527
2009 Lazar A, Pipa G, Triesch J. SORN: a self-organizing recurrent neural network. Frontiers in Computational Neuroscience. 3: 23. PMID 19893759 DOI: 10.3389/Neuro.10.023.2009  0.616
2008 Lazar A, Pipa G, Triesch J. 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. DOI: 10.1007/978-3-540-87559-8_40  0.453
2007 Lazar A, Pipa G, Triesch J. 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. PMID 17556114 DOI: 10.1016/J.Neunet.2007.04.020  0.586
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