Article

An invariant schema emerges within a neural network during hierarchical learning of visual boundaries

2025-02-04

Abstract excerpt

Neural circuits must balance plasticity and stability to enable continual learning without catastrophic forgetting, a pervasive feature of artificial neural networks trained using end-to-end learning (e.g. backpropagation). Here, we apply an alternative, hierarchical learning algorithm to the cognitive task of boundary detection in video clips. In contrast to backpropagation, hierarchical training converges to a n...

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Identifiers and source

Literature Corpus work: f6883233-0548-5d8f-aa89-90ae24f6f898
DOI: 10.1101/2025.01.30.635821

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