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(3rd person form for copying purposes) Martin Adrianus Vinck (1983, Netherlands), graduated in 2008 with highest honors from the Radboud University in Nijmegen (Netherlands), and performed his thesis research at the Donders Centre on the relationship between neuronal oscillations and information transmission. He continued to do his PhD at the University of Amsterdam, Swammerdam Institute for Life Sciences, under supervision of Dr. Cyriel Pennartz, studying mechanisms and functions of neuronal synchronization using multi-areal, extracellular tetrode recordings, and developing new analytical tools for quantifying neuronal synchronization and information theoretic quantities. He received a PhD in December 2013 (with highest honors).

After his PhD studies, he performed a postdoc at the Department of Neuroinformatics in the Donders Centre for Neuroscience in Nijmegen, together with Dr. Francesco Battaglia and Dr. Paul Tiesinga in collaboration with Dr. Bruce McNaughton, developing new analytical tools to study memory reactivation and consolidation using neuronal ensemble data, and developing new tools for detecting Granger-causality from noisy time series.

In January 2014, he went on to become a postdoctoral research fellow at Yale University (New Haven, USA) with Dr. Jessica Cardin, at the Kavli Neuroscience Institute, studying state-dependent regulation of inhibitory interneuron activity in primary visual cortex. His research at Yale University was funded partially by personal Rubicon (Netherlands Organization for Science; NWO, 2 years) and Human Frontiers Science Program grants (3 years).

In 2013, he was awarded the Scopus Young Researcher Award by Elsevier, in the category Life Sciences. In 2014, he was awarded the Heineken Young Scientist Award for Cognition by the Royal Netherlands Academy for Sciences.

Since June 2016, he has been working as a research group leader at the Ernst Strüngmann Institut for Neuroscience in Cooperation with Max Planck Society. In September 2016, he joined the IMPRS school for Neural Circuits as a faculty member. In 2019, he received the ERC Starting Grant to work on predictive processing in the visual system, linking artificial to biological neural networks.