The combination of STDP and intrinsic plasticity yields complex dynamics in recurrent spiking networks. - Andreea Lazar; Gordon Pipa; Jochen Triesch (ESANN, 2006)

Importance of electrophysiological signal features assessed by classification trees. - Andreea Lazar; Raul Cristian Muresan; Ellen Städtler; Matthias H. J. Munk; Gordon Pipa (Neurocomputing, 2007)

Fading memory and time series prediction in recurrent networks with different forms of plasticity. - Andreea Lazar; Gordon Pipa; Jochen Triesch (Neural Networks, 2007)

Predictive Coding in Cortical Microcircuits. - Andreea Lazar; Gordon Pipa; Jochen Triesch (ICANN (2), 2008)

SORN: a self-organizing recurrent neural network. - Andreea Lazar; Gordon Pipa; Jochen Triesch (Frontiers Comput. Neurosci., 2009)

Self-organizing recurrent neural networks. - Andreea Lazar (2009)

Emerging Bayesian Priors in a Self-Organizing Recurrent Network. - Andreea Lazar; Gordon Pipa; Jochen Triesch (ICANN (2), 2011)

Where's the Noise? Key Features of Spontaneous Activity and Neural Variability Arise through Learning in a Deterministic Network. - Christoph Hartmann; Andreea Lazar; Bernhard Nessler; Jochen Triesch (PLoS Comput. Biol., 2015)

Does the Cerebral Cortex Exploit High-Dimensional, Non-linear Dynamics for Information Processing? - Wolf Singer; Andreea Lazar (Frontiers Comput. Neurosci., 2016)

A transition-based approach for AMR parsing using LSTM networks. - Silviana Cimpian; Andreea Lazar; Florin Cristian Macicasan; Camelia Lemnaru (ICCP, 2017)