Back to search

Article

A mixture of generative models strategy helps humans generalize across tasks

2021-02-16

Abstract excerpt

What role do generative models play in generalization of learning in humans? Our novel multi-task prediction paradigm—where participants complete four sequence learning tasks, each being a different instance of a common generative family—allows the separate study of within-task learning (i.e., finding the solution to each of the tasks), and across-task learning (i.e., learning a task differently because of past...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
ed7d6f75-d0f0-5e6e-bc7a-ade6264d9004
DOI
10.1101/2021.02.16.431506
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A mixture of generative models strategy helps humans generalize across tasksDOI 10.1101/2021.02.16.431506
Select a neighboring publication to make it the new centre.