Singer Emeritus Group

Dr. Andreea Lazar
Postdoc
T: +49 69 96769-289
F: +49 69 96769-327
andreea.lazar(at)brain.mpg.de
Pubmed



Research interests

The response of cortical networks to stimulation is a complicated interaction between external drive and the ongoing pattern of internally generated activity. I study how experience changes the spatio-temporal properties of cortical activity in simulated recurrent networks and data from in vivo electrophysiology. I am particularly interested in the role of spontaneous activity in neural circuits, its relevance to prediction and memory and its connection to statistical learning.

Key publications
Lewis, C. M. and A.E. Lazar: Orienting Towards Ensembles: From Single Cells to Neural populations. The Journal of Neuroscience 33(1), 2–3 (2013).
Schwiedrzik, C. M., C.C. Ruff, A. Lazar, F.C. Leitner, W. Singer and L. Melloni: Untangling Perceptual Memory: Hysteresis and Adaptation Map into Separate Cortical Networks. Cerebral Cortex (2012).
Lazar, A., G. Pipa, and J. Triesch: Emerging Bayesian priors in a self-organizing recurrent network. Artificial Neural Networks and Machine Learning, ICANN 2011, Part II, Lecture Notes in Computer Science, Springer, 6792: 127-134 (2011).
Lazar, A., G. Pipa, and J. Triesch: SORN: a self-organizing recurrent neural network.  Frontiers in Computational Neuroscience, 3:23 (2009).
Lazar, A., G. Pipa, and J. Triesch: Predictive coding in cortical microcircuits. Artificial Neural Networks and Machine Learning, ICANN 2008, Part II, Lecture Notes in Computer Science, Springer, 5164: 386-395 (2008).
Lazar, A., G. Pipa, and J. Triesch: Fading memory and time series prediction in recurrent networks with different forms of plasticity. Neural Networks 20, 3, 312-322 (2007).

Interactive

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