About us

To better understand the encoding and processing of brain information, it is important to study a large number of neurons in great detail. This requires complex techniques. The main goal of our group is to develop and apply new imaging methods and to combine them with modern software and hardware technologies. These new methods allow us to track entire networks of neurons in three-dimensional images and record hundreds of cells simultaneously in the nervous system (Katona et al., 2011 PNAS; Katona et al., 2012 Nature Methods; Szalay et al., 2016). 

Our projects using these technologies have shown, among other things, that important signaling occurs in the processes of neurons under the rhythms of the hippocampus (Judak et al., 2022 Nature Comm.). Another study demonstrated that positive and negative feedback influences how local neurons process sensory stimuli. This allowed us to learn new details about how the brain functions during learning (Szadai et al., 2023 ELife). 

Our basic research, which includes behavioral tests and cell network measurements, may contribute in the long term to the development of brain-computer interfaces. It also enables the study of cells involved in perception and shows how brain networks can learn from external stimuli. Additionally, mapping malfunctioning cells in epileptic models can contribute to new epilepsy therapies.