When looking at a complex landscape, the eye needs to focus in on important details without losing the big picture--a charging lion in a jungle, for example. Now, a new study shows how inhibitory neurons play a critical role in this process.

The study, published in the journal Cell Reports, shows that inhibitory neurons do more than just inhibit neuron activity like an off-switch; paradoxically, they actually increase the amount of information transmitted through the nervous system when it needs to be flexible.

To make this possible, inhibitory neurons need to be integrated into the circuit in a specific way. These observations could help scientists better understand and treat disorders involving our ability to focus and modulate signals based on the bigger picture, which are altered in conditions such as anxiety and attention deficit disorders.

"This work points to a new role for inhibitory neurons, which are usually just thought to be suppressors and organizers of activity," says the senior author of the study. "The role of inhibitory neurons extends much further. By targeting only the most sparsely responding neurons, inhibitory neurons make it possible for the whole circuit to function well. That's completely new."

The new work was motivated by unanswered questions from a previous study of the diversity of response rates among neurons in the retina. The retina is a part of the eye that converts lights to electrical signals to be sent to the brain. "Remarkably, when we looked at retina cells that were not responding very much, their rates of information transfer actually increased in the presence of modulation," says first author. "The trick for making this unexpected phenomenon possible is to apply the modulation signal via inhibitory neurons."

While the researchers tested the theory in neurons involved in vision, the findings could apply widely to neurons found throughout the brain and nervous system, adds another author.

The next step in this line of research is to study how the phenomenon works in large sets of neurons.

https://www.salk.edu/news-release/how-neurons-get-past-no/

https://www.cell.com/cell-reports/fulltext/S2211-1247(21)00500-3

http://sciencemission.com/site/index.php?page=news&type=view&id=publications%2Fhow-inhibitory-neurons&filter=22