Department of Computational Neuroscience
Institute of Physiology, Academy of Sciences of the Czech Republic
Main topics of research include:
Analysis of single-point stochastic neuronal models.
Main methodology is provided by mathematical modeling based on the theory of stochastic processes and differential equations, including extensive numerical simulations. Advanced statistical analysis of simulated as well as real experimental data is performed in order to estimate biophysically relevant parameters of the studied models.
Information processing in sensory neurons and neuronal models.
Methods of information theory and statistical estimation theory are applied to analyse the neuronal coding efficiency, based on both simulated and experimental data. Of particular interest is the notion of efficient coding hypothesis for insect olfactory sensory neurons, and biophysical modelling of ligand-receptor interaction in pheromone reception.
Address, location
Videnska 1083 14220 Praha 4 Czech Republic
Traffic connection by public transport
Metro station Budějovická (line "C") -> Bus line 193 (final stop "Ústavy akademie věd").
Phone/fax
(420) 296 442 577 (420) 296 442 488
lanskybiomed.cas.cz