(@koch-lab.bsky.social)

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 tasks with rapid performance jumps. Feedback welcome!

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What Neuroscience Can Teach AI About Learning in Continuously Changing Environments Modern AI models, such as large language models, are usually trained once on a huge corpus of data, potentially fine-tuned for a specific task, and then deployed with fixed parameters. Their training ... https://arxiv.org/abs/2507.02103