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drop 'worse than' framing — lead with what cortex-conv achieves, not what it gives up
c70a211 -
drop 'companion to FHN' framing; cortex-conv stands on its own with related work cited
032379c
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initial deployment: cortex-conv ships pre-trained at 96.8% MNIST
A 34,106-weight convolutional neural network trained with Equilibrium Propagation (no backprop) on FitzHugh-Nagumo-inspired neurons. Boots pre-trained at 96.8% test accuracy on MNIST. Toggle to Fashion-MNIST to watch the same network train from scratch in your browser on WebGPU. Companion to Kendall 2026 (arXiv:2605.21568). Much smaller variant: 34K params vs paper's 1,457,674; ~3.2% test error vs paper's 2.8%; runs in browser instead of Python. See PAPER_COMPANION.md for the full write-up.d035fbd -
initial commit
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