Homepage of Martin Vinck

I (born in Eindhoven, The Netherlands, 17th of June, 1983), graduated in 2008 with highest honors from the Radboud University in Nijmegen (Netherlands), and performed my thesis research at the Donders Centre on the relationship between neuronal oscillations and information transmission under supervision of Dr. Pascal Fries. I received a Toptalent grant from the NWO (Netherlands Organization for Science).

I continued to do my 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. I received a PhD in December 2013 (with highest honors).

After my PhD studies, I performed a brief 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, I went on to become a postdoctoral research fellow at Yale University (New Haven, USA) with Dr. Jessica Cardin, at the Kavli Neuroscience Institute, currently studying state-dependent regulation of inhibitory interneuron activity in primary visual cortex. My research at Yale University is currently funded partially by personal Rubicon (Netherlands Organization for Science; NWO, 2 years) and Human Frontiers Science Program grants (3 years). In 2013, I was awarded the Scopus Young Researcher Award by Elsevier, in the category Life Sciences. In 2014, I was awarded the Heineken Young Scientist Award for Cognition by the Royal Netherlands Academy for Sciences. Since June 2016, I am working as a research group leader at the Ernst Strüngmann Institut for Neuroscience in Cooperation with Max Planck Society.

My current research interests encompass

* State-dependence of neuronal activity and task performance: how does neuronal activity vary as a function of e.g. arousal and attention, and what mechanisms underly this?
* Efficient coding: how do neuronal networks remove redundancies in sensory input, creating sparse codes?
* Oscillations and synchronization: what are the function and mechanisms of oscillations, and how do they contribute to efficient coding?
* Laminar organization of neuronal computation: what is the function of different cortical layers in representing and transmitting information?
* Cell types: what is the contribution of various cell types to cortical dynamics and computation?

I address these questions primarily in the visual cortex of higher mammals.

We are furthermore actively developing new
* metrics and algorithms for oscillations, synchronization and causality.
* information and machine learning metrics and algorithms
* sequence detection