Vinck lab

Ernst Strüngmann Institute (ESI)
for Neuroscience in Cooperation with Max Planck Society 
Deutschordenstr. 46
60528 Frankfurt am Main
Germany
Telephone 069 967 69 021

Email martin.vinck(at)esi-frankfurt.de

Website: www.martinvinck.com

Mentors and Alumni: Neurotree

Publication List

Research Statement

The brain represents information through action potentials, which costs energy. It is therefore important to make information encoding and transmission energy efficient, and to adapt coding strategies depending on behavioral requirements. One way of making neural coding efficient
is by incorporating knowledge about natural statistics of sensory input. One way of making neuronal information transmission efficient is by synchronizing neuronal responses. Our lab investigates the computational and neurophysiological mechanisms underlying efficient information encoding and transmission in the brain.

 

Five Key Publications

Vinck M., Brito-Batista R., Knoblich U., Cardin J.A. 2015. Arousal and locomotion make distinct contributions to cortical activity patterns and visual encoding. Neuron.

Vinck M., Womelsdorf, T., Buffalo, E., Desimone, R., Fries, P. 2013. Attentional modulation of cell- class-specific gamma-band synchronization in awake monkey area V4. Neuron.

Vinck, M & Bosman, C. More gamma more predictions: Gamma-synchronization as a key mechanism for efficient integration of classical receptive field inputs and surround predictions. 2016. Frontiers in Systems Neuroscience.

Vinck M., Battaglia F., Womelsdorf T., Pennartz C. M. A. 2012. Improved measures of phase-coupling between spikes and the Local Field Potential. Journal of Computational Neuroscience.

Grossberger L, Battaglia FP, Vinck M. 2018 Unsupervised clustering of temporal
patterns in high-dimensional neuronal ensembles using a novel dissimilarity measure. PLoS Computational Biology 

Vinck Lab