The adult brain's metabolic constraints explain why brain-like learning rules fail ImageNet
ShahabBakht · x · 2026-09-15
Arguing for learning rules that match biological neural representations, the author notes the adult brain is metabolically conservative, heavily constrained, and increasingly resistant to plastic change with age. A rule operating under these constraints may look sub-optimal and fail to solve ImageNet from scratch — which is fine: the similarities are algorithmic/computational findings, not mechanistic ones.
Related event: NeuroAI Critique: Brains Don't Learn via ImageNet-Style Classification(2 posts)→
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