Bernstein Network Computational Neuroscience
  • Home
  • Network
    • The Bernstein Network
    • Bernstein Centers
      • Berlin
      • Freiburg
      • Göttingen
      • Munich
      • Tübingen
      • Heidelberg-Mannheim
    • Bernstein Nodes
      • Bernstein Node Bochum
      • Bernstein Node Bonn-Cologne
      • Bernstein Node Chemnitz
      • Bernstein Node Hamburg
      • Bernstein Node Marburg
      • Bernstein Node Paris
      • Bernstein Node Rhine-Main Region
      • Bernstein Node Taiwan
    • Bernstein Facilities
      • High Performance Simulation and Data Analysis
      • Research Data Management
      • Bernstein Coordination Site (BCOS)
    • Awards and Initiatives
      • Valentin Braitenberg Award
      • Brains for Brains Young Researcher Award
      • Promoting Young Scientists
    • Committees
    • Network Ethics and Values
    • Statutes
    • Membership
    • History
    • Donation
    • Contact
  • Newsroom
    • Newsroom
    • News
    • Events
    • Calls
    • Media Coverage
    • Network Publications
    • Bernstein Bulletin
    • Press
  • Teaching and Research
    • Teaching and Research
    • Meet the Scientist
    • Find a Scientist
    • Degree Programs
      • Master Programs
      • PhD Programs
    • Study and Training
      • Bernstein Student Workshop Series
      • Online Learning
      • Advanced Courses
      • Internships and Master theses
      • Podcasts
  • Career
    • Career
    • Job Pool
    • Calls
    • Internships and Master theses
  • Bernstein Conference
    • Bernstein Conference
    • Call for Satellite Workshops
    • Program
      • Program at a Glance
    • Early Career Scientists
      • Travel Grants
    • General Information
      • Important Dates & FAQ
      • Plan Your Visit
    • Past and future Bernstein Conferences
  • DE
  • EN
  • Click to open the search input field Click to open the search input field Search
  • Menu Menu
You are here: Home1 / Newsroom2 / News3 / How social experiences shape behavior
Göttingen, Germany – March 10, 2026

How social experiences shape behavior

In a German-US collaboration with participation of the European Neuroscience Institute Göttingen (ENI-G), researchers have shown that fruit flies can adapt their social behavior and learn from these experiences. These fundamental mechanisms of social information processing are also important for understanding mental illness. The results have been published in the journal Current Biology. Based on these findings, a follow-up project is being funded by the Ministry of Science and Culture of Lower Saxony and the Volkswagen Foundation with more than 400,000 Euros over two years.

Dr. Frederic Römschied, Group leader at the European Neuroscience Institute Göttingen (ENI-G), in front of the experimental setup used in the funded follow-up project. Photo: umg/frank stefan kimmel

Bernstein member involved: Frederic Römschied

Many animals — including mammals, birds, and insects — learn from social experiences. They adapt their behavior to previous interactions, thereby increasing their chances of survival and reproduction. However, how social experiences shape behavior is still poorly understood.

Dr. Frederic Alexander Römschied, group leader at the European Neuroscience Institute Göttingen (ENI-G) — a collaboration between the University Medical Center Göttingen (UMG) and the Max Planck Institute for Multidisciplinary Sciences — has shown, in collaboration with researchers at Princeton University in New Jersey, USA, that male fruit flies, like humans, can flexibly adapt their behavior to changing social conditions. Using a novel method, the researchers succeeded in controlling the behavior of interacting flies, even against their natural instincts. To do this, the flies’ nerve cells were genetically modified so that they could be specifically activated using LED light. The result: if a fly behaves differently than usual, its counterpart learns from this experience and develops new behavioral strategies to adapt.

“We can now experimentally control social experiences and then examine how behavior adapts to these experiences,” says Dr. Römschied, first author. “This provides us with a basis for understanding how individual social experiences influence neural processes in the long term, enabling learning from social experience. These mechanisms of social information processing are also important for understanding mental illness and could contribute to the development of new treatment approaches in the long term.”

The results have been published in the journal Current Biology.

Building on these findings, the Ministry of Science and Culture of Lower Saxony and the Volkswagen Foundation are funding the follow-up project “ethoLASR: Towards a neuroethology of learning in alternative social realities” with more than 400,000 euros over two years. The aim is to decipher the neural basis for the discovered flexibility of social behavior.

The optogenetic closed-loop stimulation

A new method known as optogenetic closed-loop stimulation was used to study social interactions. This method allows analyzing the behavior of genetically modified and freely interacting flies in real time and influencing their reactions using light as a stimulus. This is based on machine learning, in which computers are trained to learn from recorded data, recognize patterns, and draw conclusions from them. In this study, machine learning is trained to rapidly recognize the behavior of flies based on the incoming data. This allows a targeted influencing of the animals based on their ongoing behavior in real time.

Specifically, pairs of flies, one male and one female, were studied during courtship. Male flies try to persuade the female to mate by “singing” with one of their wings. The female’s nerve cells responsible for backward movement, known as “moonwalker” nerve cells, were activated with LED light every time the male sang. This creates an “alternative social reality” for the male, to which he must adapt because the female is not moving as usual.

Dr. Römschied developed the approach for this method during his time as a postdoctoral researcher in the working group of Prof. Dr. Mala Murthy at Princeton University in New Jersey, USA, who is also the last author of the study. In Göttingen, the method was further developed into a laser-based closed-loop system that can now be used to influence several interacting animals independently of each other. This was supported by the Klaus Tschira Boost Fund.

Further links

Original press release

> more

Original publication

> more

How social experiences shape behavior

11. March 2026/in Ausgewählter Aktuelles-Post für die Startseite /by Elena Reiriz Martinez

Kontakt Aktuelles

Contact

Dr. Frederic Alexander Römschied

Scientific contact
European Neuroscience Institute Göttingen
Germany

+49 551 / 39-61331
f.roemschied@eni-g.de

Lena Bösch

Press contact
Head of Corporate Communications
University Medical Center Göttingen, University of Göttingen
Von-Siebold-Str. 3
37075 Göttingen
Germany

+49 551 / 39-61020
presse.medizin@med.uni-goettingen.de

Bernstein Netzwerk Computational Neuroscience Logo

Become a member
Statutes
Donation
Subscribe to Newsletter

 

Follow us on

LinkedIn
Bluesky
Vimeo
Mastodon
© 2026 Bernstein Network Computational Neuroscience
  • Contact
  • Imprint
  • Privacy Policy
Scroll to top Scroll to top Scroll to top
Cookie-Zustimmung verwalten
We use cookies to optimize our website and our service.
Functional Always active
Der Zugriff oder die technische Speicherung ist unbedingt für den rechtmäßigen Zweck erforderlich, um die Nutzung eines bestimmten Dienstes zu ermöglichen, der vom Abonnenten oder Nutzer ausdrücklich angefordert wurde, oder für den alleinigen Zweck der Übertragung einer Nachricht über ein elektronisches Kommunikationsnetz.
Vorlieben
Die technische Speicherung oder der Zugriff ist für den rechtmäßigen Zweck der Speicherung von Voreinstellungen erforderlich, die nicht vom Abonnenten oder Nutzer beantragt wurden.
Statistics
Die technische Speicherung oder der Zugriff, der ausschließlich zu statistischen Zwecken erfolgt. Die technische Speicherung oder der Zugriff, der ausschließlich zu anonymen statistischen Zwecken verwendet wird. Ohne eine Aufforderung, die freiwillige Zustimmung Ihres Internetdienstanbieters oder zusätzliche Aufzeichnungen von Dritten können die zu diesem Zweck gespeicherten oder abgerufenen Informationen allein in der Regel nicht zu Ihrer Identifizierung verwendet werden.
Marketing
Die technische Speicherung oder der Zugriff ist erforderlich, um Nutzerprofile zu erstellen, um Werbung zu versenden oder um den Nutzer auf einer Website oder über mehrere Websites hinweg zu ähnlichen Marketingzwecken zu verfolgen.
Manage options Manage services Manage {vendor_count} vendors Read more about these purposes
Settings
{title} {title} {title}