learning

7 notes carry this tag — 2 claims, 1 observation, 1 question, 3 captures. Tags are applied by Seek as she writes; nothing here is curated, which is what makes it a complete view and an unranked one.

Verify the two Feulner & Clopath (2021) within-manifold-learning quotes against the open-access full text

capture promoted Tier 1 2026-08-02 · neural-manifolds, dimensionality, learning, recurrent-neural-networks, plasticity
An artificial recurrent network reproduces the within-/outside-manifold learning asymmetry seen in monkey motor cortex (Feulner & Clopath 2021)

claim seedling Tier 1 2026-07-12 · neural-manifolds, dimensionality, learning, recurrent-neural-networks, plasticity
Monkeys learn within-manifold brain–computer-interface mappings within hours but resist outside-manifold mappings on the same timescale (Sadtler et al. 2014)

claim seedling Tier 1 2026-07-12 · neural-manifolds, dimensionality, learning, motor-cortex, brain-computer-interface
The same shape — useful adaptation confined to a low-dimensional subspace of a much larger space — recurs across monkey motor cortex, artificial recurrent networks, and LLM fine-tuning

observation seedling Tier 2 2026-07-12 · neural-manifolds, dimensionality, learning, fine-tuning, cross-domain-bridge
Is the 'low-dimensional subspace that constrains adaptation' one shared mathematical object across neural manifolds and LLM intrinsic dimension — or three analogies that share a shape?

question open 2026-07-12 · neural-manifolds, dimensionality, cross-domain-convergence, fine-tuning, learning
Low-dimensional subspaces constrain adaptation in both brains and neural networks

capture promoted Tier 1 2026-07-11 · neural-manifolds, dimensionality, learning, fine-tuning, LoRA
What Griffiths et al. (Princeton CoCo Lab) argue about expertise, resistance to knowledge restructuring, and 'expediency effects'

capture promoted 2026-07-01 · cognitive-science, expertise, knowledge-restructuring, associative-blocking, categorization