Unveiling the benefits of multitasking in disentangled representation formation.

Trends in cognitive sciences(2023)

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摘要
Johnston and Fusi recently investigated the emergence of disentangled representations when a neural network was trained to perform multiple simultaneous tasks. Such experiments explore the benefits of flexible representations and add to a growing field of research investigating the representational geometry of artificial and biological neural networks.
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