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 Rhine-Main Region
      • Bernstein Node Taiwan
    • Research Infrastructure
      • High Performance Simulation and Data Analysis
      • Research Data Management
      • Science Communication
      • Scientific Coordination
    • Awards and Initiatives
      • Valentin Braitenberg Award
      • Brains for Brains Young Researcher Award
      • Bernstein SmartSteps
    • Committees
    • Mission Statement
    • 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
    • Internships and Master theses
  • Bernstein Conference
    • Bernstein Conference
    • Program
      • Schedule
      • Satellite Workshops
      • Conference Dinner
    • Early Career Scientists
      • PhD Symposium
      • Postdoc Meeting
      • Travel Grants
      • Buddy Program
    • General Information
      • Important Dates & FAQ
      • Plan Your Visit
      • Press
      • Code of Conduct
      • PR Media Policy
      • Data Policy
    • 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 jellyfish swim: HU study explains the interaction between neural networks and muscle activation
Berlin, Germany – July 2, 2025

How jellyfish swim: HU study explains the interaction between neural networks and muscle activation

From the biophysical properties of individual cells to the movement of the entire body, a study at Humboldt-Universität explains how jellyfish control their locomotion.

This 3D model of the hydrozoan jellyfish features its motor nerve net in yellow. The nerve net consists of electrically coupled motor neurons arranged in two rings connected via four radial branches. Fabian Pallasdies and colleagues from the Institute of Biology at Humboldt-Universität zu Berlin (HU) developed a biophysical model of the motor nerve net, linking its activity to a biomechanical fluid simulation in order to understand how the jellyfish achieves stable and efficient swimming motion. Picture: Emily Lowes/ https://emilylowes.com/medical-art

Bernstein member involved: Susanne Schreiber

Aquatic animals need tightly choreographed movements to efficiently navigate through open waters. Jellyfish, which swim forward by contracting and ejecting water with their bell-shaped body, must also respond to sensory stimuli on their outer skin to initiate hunting or escape. How they use their simple neural networks to activate muscles is not yet fully understood.

Using a mathematical model, Fabian Pallasdies and colleagues from Prof. Dr. Susanne Schreiber’s Theoretical Neurophysiology working group at the Institute of Biology at Humboldt- Universität zu Berlin (HU) have now investigated the coupling of neural activity and motor response in these swimming movements. In their study, published in the Journal of Neuroscience, they reveal the sophisticated temporal interaction between nerve and muscle cells that enables rapid muscle contraction, allowing jellyfish to swim stably in a given direction. The study provides a rare example of a complete mechanistic explanation of animal behaviour – from the biophysical properties of individual cells to the movement of the entire body.

Combination of nerve, muscle and fluid-mechanical simulation

For their study, the researchers used a mathematical model that not only simulates the electrical activity of the nerve and muscle system of the Hydrozoan jellyfish, but also the bell-shaped body of the animal and how it interacts with the water while swimming. This combination of nerve, muscle and fluid-mechanical simulation showed that it is the rapid, symmetrical muscle contraction in particular that stabilises jellyfish when swimming. The simulation also reveals how muscle contraction is achieved: When the jellyfish is stimulated at any point on its body, the ring-shaped muscle strands running around the body contract to expel water out of the area enclosed by the jellyfish’s body and thus swim forward. To do this, the muscle ring is electrically activated. This is achieved by the nerve ring, in which the electrical activity first spreads and then stimulates the connected muscle cells.

But how do nerve and muscle cells work together to achieve the necessary speed of muscle contraction? ‘In the simplest case, the electrical activity would spread in one direction once around the entire ring,’ says Susanne Schreiber, who leads the working group. ‘But then the contraction would take too long, and the jellyfish would start to tumble.’ Even if the electrical activity were to move in two directions simultaneously from the stimulation point, thereby halving the time it takes to activate the muscles, the simulations showed that this would not be sufficient to stabilise the swimming movements.

Elegant activation mechanism enables rapid muscle contraction

In their study, the researchers reveal that jellyfish use an elegant principle to significantly reduce the time it takes for muscles to contract: the electrical activity spreads from the stimulation point in the nerve ring in two directions. Initially, this activity of the nerve cells is still too weak to stimulate the muscles. Only as it spreads do the electrical pulses in the nerve ring synchronise and become strong enough to ‘ignite’ the muscle cells. As a result, four waves of activity now moves through the muscle ring (from both ignition points in both directions). This reduces the total time it takes for all muscles in the ring to be activated to about a quarter. In addition, muscle activation is more symmetrical and thus facilitates stable movement in one direction.

‘The simulation of the jellyfish’s swimming movement proves that stable swimming is only possible with a neuro-muscular coupling that supports this fourfold propagation principle,’ says Schreiber. The study also shows how important it is to consider the direct relationship between the properties of individual nerve cells, muscle cells and the behaviour of the animal in its natural environment. ‘In animals with less complex nervous systems, such as jellyfish, this is now possible thanks to mathematical simulation, allowing us to discover mechanisms by which nerve cells and their properties have a direct effect on behaviour.’

Further links

Original press release

> more

Original publication

> more

How jellyfish swim: HU study explains the interaction between neural networks and muscle activation

7. July 2025/in /by Elena Reiriz Martinez

Kontakt Aktuelles

Contact

Prof. Dr. Susanne Schreiber

Scientific contact
Institute for Theoretical Biology
Humboldt University Berlin
Philippstraße 13
10115 Berlin
Germany

s.schreiber@hu-berlin.de

Bernstein Netzwerk Computational Neuroscience Logo

Become a member
Statutes
Donation
Subscribe to Newsletter

 

Follow us on

LinkedIn
Bluesky
Vimeo
X
© 2025 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}