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...

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...

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...

How do recurrent networks decide what to spontaneously replay? Check out our new preprint! w/ @ClopathLab biorxiv.org/content/10.6...

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...

Check out our new paper how to embed state transitions in recurrent networks. Well done Toshitake Asabuki! elifesciences.org/articles/95243

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.

elifesciences.org