How Inhibitory Oscillations Can Train Neural Networks and Punish Competitors
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چکیده
منابع مشابه
How Inhibitory Oscillations Can Train Neural Networks and Punish Competitors
We present a new learning algorithm that leverages oscillations in the strength of neural inhibition to train neural networks. Raising inhibition can be used to identify weak parts of target memories, which are then strengthened. Conversely, lowering inhibition can be used to identify competitors, which are then weakened. To update weights, we apply the Contrastive Hebbian Learning equation to ...
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ژورنال
عنوان ژورنال: Neural Computation
سال: 2006
ISSN: 0899-7667,1530-888X
DOI: 10.1162/neco.2006.18.7.1577