Asabuki Lab
@asabukilab.bsky.social
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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...
21 days ago
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reposted by
Asabuki Lab
Claudia Clopath Lab
9 months ago
Check out our new paper how to embed state transitions in recurrent networks. Well done Toshitake Asabuki!
elifesciences.org/articles/95243
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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.
https://elifesciences.org/articles/95243
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