Interleaved regime promotes structural learning: behavioral and computational insights
Salma Elnagar, Nicholas Menghi, Francesco Silvestrin, Christian F. Doeller · COSYNE 2025
Understanding how humans form knowledge structures from a stream of information is a question with implications for both human cognition and artificial intelligence. Structural learning is affected by the training regime, which can be either blocked into trials of similar forms or interleaved into trials of different forms. Previous studies show mixed results with some showing that blocked regimes improve different types of learning [1, 2, 3], while others show advantages of blocked regimes [4, 5, 6]. Additionally, few studies investigated the effect of regime on structural learning specifical
ePoster · Neuroscience