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Asabuki Lab

@asabukilab.bsky.social
18 followers 8 following 5 posts
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Asabuki Lab @asabukilab.bsky.social · 22/09/2026
How does a place cell know when to rewrite itself? Check out our new preprint on spike-history gating of BTSP and closed-loop rewriting of CA1 representations. Congrats Anno! @ackurth.bsky.social www.biorxiv.org/content/10.6...
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Asabuki Lab @asabukilab.bsky.social · 24/06/2026
Thrilled to share our new preprint 📜 Predictive E/I plasticity can drive intrinsic representational drift while preserving stable population coding. w/@ClopathLab biorxiv.org/content/10.6...
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Asabuki Lab @asabukilab.bsky.social · 18/06/2026
How can RNNs combine independently learned computations without being trained on their combinations? Excited to share our new preprint📜 www.biorxiv.org/content/10.6...
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Reposted by Asabuki Lab
Asabuki Lab @asabukilab.bsky.social · 16/02/2026
How can RNNs learn continuously without forgetting? 🧠 Our new preprint shows how a predictive learning rule organizes recurrent dynamics into orthogonal manifolds, reducing task interference. Congrats Zihan @zihan-liu.bsky.social ! www.biorxiv.org/content/10.6...
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Asabuki Lab @asabukilab.bsky.social · 14/05/2026
How do recurrent networks decide what to spontaneously replay? Check out our new preprint! w/ @ClopathLab biorxiv.org/content/10.6...
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Asabuki Lab @asabukilab.bsky.social · 16/02/2026
How can RNNs learn continuously without forgetting? 🧠 Our new preprint shows how a predictive learning rule organizes recurrent dynamics into orthogonal manifolds, reducing task interference. Congrats Zihan @zihan-liu.bsky.social ! www.biorxiv.org/content/10.6...
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Reposted by Asabuki Lab
Claudia Clopath Lab @clopathlab.bsky.social · 12/06/2025
Check out our new paper how to embed state transitions in recurrent networks. Well done Toshitake Asabuki! elifesciences.org/articles/95243
elifesciences.org
Embedding stochastic dynamics of the environment in spontaneous activity by prediction-based plasticity
A computational model shows how synaptic plasticity shapes spontaneous activity to encode the transition statistics of sensory experience.
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