New paper on differentiation and category learning!

Dory Xie published her first paper in Psychonomic Bulletin & Review. In this work, Dory used novel computational modelling & behavioural approaches to show how selective pattern differentiation and integration support learning and generalization of category exceptions. One interesting wrinkle in the data is that latent representational spaces of category items based on a computational model (thanks again, SUSTAIN!) differ from participants' similarity ratings. Indeed, whereas the model's latent space shows that category exceptions are differentiated from items that follow category regularities, explicit similarity ratings suggest participants are simply grouping exceptions with their respective category. Maybe similarity ratings don't reveal cognition's latent spaces?

Read it here:  https://link.springer.com/article/10.3758/s13423-024-02501-8

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