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Brain-inspired computing: Using noise to regulate information flow in neural networks
Researchers have developed a learning mechanism that uses the natural variability of neural activity—often dismissed as ...
A new model of learning centers on bursts of neural activity that act as teaching signals — approximating backpropagation, the algorithm behind learning in AI. Every time a human or machine learns how ...
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