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Andreea Lazar
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2010 – 2019
- 2017
- [c4]Silviana Cimpian, Andreea Lazar, Florin Cristian Macicasan, Camelia Lemnaru
:
A transition-based approach for AMR parsing using LSTM networks. ICCP 2017: 103-110 - 2016
- [j5]Wolf Singer, Andreea Lazar:
Does the Cerebral Cortex Exploit High-Dimensional, Non-linear Dynamics for Information Processing? Frontiers Comput. Neurosci. 10: 99 (2016) - 2015
- [j4]Christoph Hartmann, Andreea Lazar, Bernhard Nessler, Jochen Triesch:
Where's the Noise? Key Features of Spontaneous Activity and Neural Variability Arise through Learning in a Deterministic Network. PLoS Comput. Biol. 11(12) (2015) - 2011
- [c3]Andreea Lazar, Gordon Pipa, Jochen Triesch:
Emerging Bayesian Priors in a Self-Organizing Recurrent Network. ICANN (2) 2011: 127-134
2000 – 2009
- 2009
- [b1]Andreea Lazar:
Self-organizing recurrent neural networks. Goethe University Frankfurt, Frankfurt am Main, Germany, 2009, pp. 1-103 - [j3]Andreea Lazar, Gordon Pipa, Jochen Triesch:
SORN: a self-organizing recurrent neural network. Frontiers Comput. Neurosci. 3: 23 (2009) - 2008
- [c2]Andreea Lazar, Gordon Pipa, Jochen Triesch:
Predictive Coding in Cortical Microcircuits. ICANN (2) 2008: 386-395 - 2007
- [j2]Andreea Lazar, Raul Cristian Muresan
, Ellen Städtler, Matthias H. J. Munk, Gordon Pipa:
Importance of electrophysiological signal features assessed by classification trees. Neurocomputing 70(10-12): 2017-2021 (2007) - [j1]Andreea Lazar, Gordon Pipa, Jochen Triesch:
Fading memory and time series prediction in recurrent networks with different forms of plasticity. Neural Networks 20(3): 312-322 (2007) - 2006
- [c1]Andreea Lazar, Gordon Pipa, Jochen Triesch:
The combination of STDP and intrinsic plasticity yields complex dynamics in recurrent spiking networks. ESANN 2006: 647-652
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