@koch-lab.bsky.social
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koch-lab.bsky.social
Our new paper in #PRE @physreve.bsky.social‬ on how #criticality governs the response of systems with 👻 #dynamics ("ghost cycles") to external inputs compared to #slow-fast systems: journals.aps.org/pre/abstract...

Had a great time working with ‪@koseskalab.bsky.social‬ and Ulrike Feudel, TY! 😊
Reposted
durstewitzlab.bsky.social
We wrote a little #NeuroAI piece about in-context learning & neural dynamics vs. continual learning & plasticity, both mechanisms to flexibly adapt to changing environments:
arxiv.org/abs/2507.02103
We relate this to non-stationary rule learning tasks with rapid performance jumps.

Feedback welcome!
What Neuroscience Can Teach AI About Learning in Continuously Changing Environments
Modern AI models, such as large language models, are usually trained once on a huge corpus of data, potentially fine-tuned for a specific task, and then deployed with fixed parameters. Their training ...
arxiv.org
koch-lab.bsky.social
Our new paper in #PRE @physreve.bsky.social‬ on how #criticality governs the response of systems with 👻 #dynamics ("ghost cycles") to external inputs compared to #slow-fast systems: journals.aps.org/pre/abstract...

Had a great time working with ‪@koseskalab.bsky.social‬ and Ulrike Feudel, TY! 😊
Reposted
koseskalab.bsky.social
We are at #DDays2025 ! Join us at our 3!! talks on multistability and metastability, today, on Thursday and Friday! @mpinb.mpg.de
Reposted
koseskalab.bsky.social
👇🏻👇🏻👇🏻 Pre-print alert 👇🏻👇🏻👇🏻
We developed the concept of signaling homeorhesis to describe regulation of cell phenotype under dynamic signals, demonstrating that cells actively interpret signals from their environment to determine cell fate! @mpinb.mpg.de

www.biorxiv.org/content/10.1...
Homeorhetic regulation of cellular phenotype
How cells translate growth factor (GF) signals into context-specific phenotypes remains a fundamental question in cell biology. The classical view holds that cells translate a constant concentration o...
www.biorxiv.org