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AIMarkTechPost · 27d ago

Sakana AI’s Error Diffusion Trains Dale-Compliant Dual-Stream Networks, Reaching 96.7% MNIST and 61.7% CIFAR-10 Without Backpropagation

Error Diffusion trains dual-stream networks following Dale's principle without backpropagation, achieving 96.7% accuracy on MNIST and 61.7% on CIFAR-10. The method routes modulo errors through excitatory and inhibitory channels to scale learning across tasks including reinforcement learning.

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