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Found 2 papers, 1 papers with code
Improved object recognition using neural networks trained to mimic the brain's statistical properties
To test this, we trained DCNNs on a composite task, wherein networks were trained to: a) classify images of objects; while b) having intermediate representations that resemble those observed in neural recordings from monkey visual cortex.
A Self-Organizing Memory Network
Information in working memory, however, is retained for tens of seconds, suggesting the question of how time-varying neural activities maintain stable representations.
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