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- W2145367083 abstract "We clarify that the only essential difference between the two major categories of unsupervised learning rules discussed in theories of artificial neural networks-the competitive learning and the Hebbian learning rules-is that lateral inhibition is present in the former and is absent in the later. We demonstrate analytically that a competitive learning neural network, which has synaptically localized memory, shows better tolerance over noise in training patterns in comparison with the Hopfield neural network, which uses a Hebbian-type learning rule without any lateral inhibition and has synaptically distributed memory.< <ETX xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>></ETX>" @default.
- W2145367083 created "2016-06-24" @default.
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- W2145367083 date "2002-11-19" @default.
- W2145367083 modified "2023-09-27" @default.
- W2145367083 title "Synaptically distributed memory vs. synaptically localized memory" @default.
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