Unifying the Principles of Learning with and without Brains

International Workshop
7 - 11 July 2025

The concept of learning extends beyond brain-based systems to a broad range of biological and physical phenomena. The learning metaphor cay apply to systems without neurons, such as vasculature networks in slime mold, gene regulatory networks in cells, and complex mechanical systems. Like neuronal and artificial network that learn, such systems acquire functional behaviors through interactions with their environment. These analogies suggest that the principles of learning may be general. By studying these diverse examples, we can broaden our understanding and seek unifying principles of learning, which may impact all fields involved.

We plan an on-site workshop. Talks and posters will exclusively be presented on-site.

Topics include

  • Learning in biological cells
  • Developmental plasticity
  • Adaptation in tissue and organ
  • Learning in artificial and physical networks
  • Complex mechanical and chemical systems

Confirmed invited speakers

Erez Braun (IL)
Douglas J. Durian (US)
Adam Engler (US)
Adrienne Fairhall (US)
Daniel Hexner (IL)
Andrea J. Liu (US)
Yonatan Loewenstein (IL)
Ron Meir (IL)
Yasmine Meroz (IL)
Leonid Mirny (US)
Ilya Nemenman (US)
Mor Nitzan (IL)
Hanna Salman (US)
Yonatan Savir (IL)
Daniel Soudry (IL)
Menachem Stern (NL)
Lenka Zdeborová (CH)
Tao Zhang (US)

Scientific Coordinators

Karen Alim
(Technische Universität München, Germany)

Omri Barak
(Technion, Haifa, Israel)

Naama Brenner
(Technion, Haifa, Israel)

Jennifer Schwarz
(Syracuse University, USA)

Organisation

Katrin Lantsch
(MPIPKS Dresden)

Application

Applications are welcome and should be made by using the application form. The application deadline is 31st March 2025. The number of attendees is limited.

The registration fee for the international workshop is 200 Euro and should be paid by all participants.

Costs for accommodation and meals will be covered by the Max Planck Institute.

Limited funding is available to partially cover travel expenses.

Scientific Program

Program structure:

Sunday, 6th July - arrival (recommended)

Monday, 7th July, 9 a.m. - program start

Friday, 11th July, noon - program closure & departure

The detailed program will be available by mid-June 2025.

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