Research background

By training I am a theoretical computer scientist with the focus on artificial intelligence and machine learning. Towards the end of my studies, I have increasingly often tapped neuroscience and psychology for inspirations on how to build intelligent systems. This dual interest lead me to join a program in Neuroinformatics at the Unviersity of Edinburgh, where my interest in the brain grew further, eventually leading to my PhD thesis on the topic of Development of functional properties in primary visual cortex under the supervision of James Bednar. My first post-doctoral post was in the lab of Tom-Mrsic Flogel at UCL, where I had the chance to brush up my machine learning skills while investigating novel ways to estimate receptive fields in local populations of mouse primary visual cortex neurons. Next I have switched my attention to studying cat early vision using large-scale spiking neural modelling approach under the co-supervision of Andrew Davison and Yves Frégnac at the UNIC department of CNRS. I then continued to pursue the study of early vision at Institute de la Vision in Paris in the group of Pr. Ryad Benosman, where I applied the large scale models of V1 to the problem of optogenetic based cortical visual prosthesis, as well as utilized my experience in artificial intelligence and cortical modeling to pursue projects in the field of Neuromorphic Vision. Currently I continue to purse all these lines of research at my alma mater, the Faculty of Mathematics and Physics of Charles University in Prague.


Current research interests


Available student projects

Would you like to contribute to our research? This is a list of projects available for interested students. Most are designed to be completed within 3 to 6 month, but some can be expanded into longer projects even full PhD scope. If you are interested in working on any of the projects please contact me.

Computational Neuroscience Projects

Software engineering projects

Web development projects