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(C) Copyright 2008-2014
Dominic John Repici
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Interference

 
Also: Interference Effects — In biological terms, interference occurs when existing learned responses (i.e., existing memories) are diminished by subsequent learning. Interference may also be said to occur as a result of preceding memories, when they interfere with new learning. Interference manifests in a variety of ways, for example when trying to remember material that has previously been learned.

Proactive Interference is seen when existing memories make learning a new response more difficult.

Retroactive Interference is when more recently learned material interferes with the recall of material that was learned earlier (also, sometimes: retrograde interference).




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In Artificial Neural Networks


Interference can also be observed in many artificial neural network learning models. In some, such as backpropagation networks, interference is extreme. It causes the network to break down when called upon to learn any new response after being trained. This effectively prevents the network from being able to continuously learn from its milieu, requiring it to be placed into response-only mode once it has been trained. When discussing this extreme form of interference in artificial networks, it is normally referred to as catastrophic forgetting (or, "catastrophic interference").




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Resources


Also: Catastrophic Forgetting     Memory     Learning

 
 




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