🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Happy our team is among this years’ recipients of the Samsung Global Research Outreach Awards! sait.samsung.co.kr/saithome/about… We will take #DynamicalSystems reconstruction to the next level, large-scale – looking forward to the collaboration with the Samsung team!

📢PhD position University of Bristol (with Ross Purple and Seán Froudist-Walsh, UK) and joint supervision SantAnnaPisa (with Eleonora Russo, IT) on the reinforcement of traumatic memories during sleep using advanced machine learning techniques. Deadline: 6 Jan. 2025 Detailed project information here👇

Can really recommend this excellent talk by Christoph Bergmeir at neurips.cc/virtual/2024/w… yesterday … on the inability of Transformer- & LLM-based recent time series models to beat even simple baselines *if you do the stats and testing right*! A lesson in careful stat. eval.

Periodic reminder that MSE or explained var. are not good stats for assessing quality of dynamical systems reconstructions, cos of exponential trajectory divergence in chaotic systems. And please follow us at durstewitzlab.bsky.social !

Transfer & few-shot learning for dynamical systems ... our paper just got accepted for #ICLR2025 ICLR 2026 ! Thread below; strongly updated version will be available soon ... ... and don't forget to move to bsky! durstewitzlab.bsky.social

Our revised #ICLR2025 paper & code for a foundation model architecture for dynamical systems is now online: openreview.net/pdf?id=Vp2OAxM… ... incl. add. examples of how this may be used for identifying drivers (control par.) of non-stationary processes. And please switch platform!

Into population dynamics? Coming to #CNS2025 but not quite ready to head home? Come join us! at the Symposium on "Neural Population Dynamics and Latent Representations"!🧠 🗓️July 10th 📍ScuolaSantAnna, Pisa (and online) Free registration: 👉neurobridge-tne.github.io

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 w rapid jumps. Feedback welcome!

Mathematics & kindness

Got prov. approval for 2 major grants in Neuro-AI & Dynamical Systems Recons., on learning & inference in non-stationary environments, OOD generalization, and DS foundation models. To all AI/math enthusiasts: Expect job announcements (PhD/PostDoc) soon! Feel free to get in touch.