An inverted Forward-Forward rule makes layered networks cancel expected activity and amplify surprise, producing brain-like bottom-up cascades.
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From Local Learning to Global Prediction Through Layered Surprise Cascades
An inverted Forward-Forward rule makes layered networks cancel expected activity and amplify surprise, producing brain-like bottom-up cascades.