Summary
Jan Antolik is an Assistant Professor and computational neuroscientist with 14 years of experience probing the computations underlying visual perception. Trained in neuroinformatics (PhD, Edinburgh) with MSc degrees in theoretical computer science and computer science, he blends large-scale, biophysically detailed modeling and system identification of V1 with tool development for computational neuroscience. His career spans postdoctoral work at UCL, CNRS and Institut de la Vision to a research fellowship and faculty role at Charles University, where he translates experimental two-photon data into mechanistic models. Known for building conductance-based simulations of primary visual cortex, he brings rare expertise at the intersection of theory, simulation engineering, and experimental collaboration.
15 years of coding experience
11 years of employment as a software developer
PhD, Neuroinformatics, PhD, Neuroinformatics at The University of Edinburgh
Master of Science (MSc), Computer Science, Master of Science (MSc), Computer Science at Kansas State University
Master of Science (MSc), Theoretical Computer Science, Master of Science (MSc), Theoretical Computer Science at Charles University