Mitchell Ostrow

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• Matthijs Pals@matthijspals.bsky.social02/11/2026 13:58

  We are still however trying to see if we can assess the dynamics also more directly from the data. I will have a look at whether DSA could be helpful here!

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• Matthijs Pals@matthijspals.bsky.social02/11/2026 13:58

  Thank for the response! We discuss Qian et al. in our paper and have student teacher setups (appendix) where we are able to recover non-fixed point dynamics when the teacher has transient dynamics. My guess is that with 1000s of units across 10_000s of single trials we are in a different regime.

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• Matthijs Pals@matthijspals.bsky.social01/11/2026 16:16

  What kind of dynamics underlie sequence working memory? In the last project of my PhD we developed and analysed RNNs fitted to multi-session single-unit data of macaques. Now out on: www.biorxiv.org/content/10.6... With @jakhmack.bsky.social and data from Chen et al., Neuron 2024. [1/4]

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• Andrew Pruszynski@andpru.bsky.social27/10/2026 13:35

  It was a great pleasure having Mitchell explain his work on Dynamical Similarity Analysis to our lab. We learned a lot and got some new ideas about how to look at our datasets.

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• Will Redman@wtredman.bsky.social16/10/2026 13:56

  TLDR: Predictive grid cells (science.org/doi/10.1126/...): 1) are a robust feature of rodent MEC 2) emerge in RNNs trained to path-integrate (w/o any explicit prediction loss) 3) may be present even during sleep, suggesting they are playing a more general role beyond prediction 2/

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