The main goal of our group is to identify computations implemented in the neural system that underlie our sensory perception, as well as applying this knowledge to the design of stimulation protocols for visual prosthetic systems. To that end, we build models of visual system at various levels of abstraction using variety of computational techniques including, but not limited to, machine learning and large-scale biologically plausible spiking neural network simulations. To help us with this endevour, we also develop Mozaik, an open-source framework for rapid prototyping of large-scale neural simulations of sensory system, and automation of the virtual experimental workflow.
We collaborate closely with the experimental group of Yves Frégnac, the theoretical group of Alain Destexhe and the neuroinformatics group of Andrew Davison at NeuroPSI, CNRS, France as well as experimental group of Diego Contreras at the University of Pennsylvania.
Computational System Neuroscience Group
Faculty of Mathematics and Physics
Charles University in Prague
Malostranské nám. 25
118 00 Prague