About us
We are the Computational Systems Neuroscience Group (CSNG) based at the Faculty of Mathematics and Physics of Charles University, Prague.
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 systems at various levels of abstraction using a 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 endeavor, we also develop Mozaik, an open-source framework for rapid prototyping of large-scale neural simulations of sensory systems and automation of the virtual experimental workflow.

Collaborators
- Diego Contreras (University of Pennsylvania)
- Andreas Tolias (Stanford)
- Serge Picaud lab (Institut de la Vision)
- Patric Degenae (University of Newcastle)
- Fabian Sinz (University Göttingen)
- Eduardo Fernandez (Miguel Hernandez University)
- Xing Chen (University of Pittsburgh)
- Alain Destexhe (NeuroPSI CNRS)
Contacts
Computational System Neuroscience Group
Faculty of Mathematics and Physics
Charles University in Prague
Malostranské nám. 25
118 00 Prague
Czechia
email: antolikjan@gmail.com