By using correlation techniques, Balázs Hangya and his team uncovered two functional classes of cholinergic neurons which show differential influence on cortical neuronal activity and mouse decisions. The work has been published in the Nature Neuroscience.

Every year, the Hungarian Innovation Prix competition recognizes world-class achievements that bring outstanding benefits. One of the winners of the 2019 tenders is Femtonics Kft, founded by Balázs Rózsa and Gergely Katona.

The work of Judit Makara's group investigating the rules of synaptic plasticity can make a significant contribution to recognizing the importance of each process in the functioning of the nervous system. Their new papers are published by Nature Communications and J Neuroscience.

Ádám Dénes and his collaborators identified a novel communication site between microglia and neurons. These contacts - termed somatic purinergic junctions - may have remarkable therapeutic potential.

Hard work always pays off! Gábor Nyiri and his team have deserved well the big success, when their paper was published in Science this May. Actually, according to the reviewers and Editors, their second discovery also has the merit for the publication in Science!

The findings published in the PNAS journal suggest that antibody-mediated autoimmunity contributes to the development of severe chronic pain syndrome after injury and that blockade of IL-1 actions may be an attractive therapeutic prospect.

Nucleus incertus GABAergic neurons can bidirectionally modify the strength of fear memory formation. The work lead by G. Nyiri is published in Science.

Csaba Fekete and Erzsébet Farkas helped to reveal the transcellular mechanism of a therapeutic peptide used in obesity. The significant paper has been published in the Science Translational Medicine.

The symposium titled "New approaches and applications of STORM super-resolution imaging in life sciences" is organized by our Institute and the Nikon. Everyone is welcome.

The new approach, developed by Balázs Ujfalussy and co-workers, provides a data-driven characterization of a key component of cortical circuit computations.