Back to search

Article

Neural representations supporting generalization under continual learning

2026-01-08

Abstract excerpt

Abstraction and generalization are essential for flexible decision-making in novel situations. Recent work in humans and monkeys has shown how abstract variables are encoded by the representational geometry of neural population activity. However, these observations—which are typically made after learning has converged—demonstrate the product of abstraction, but not the process by which abstract knowledge is lear...

Topics

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

Identifiers and source

Literature Corpus work
57bb4a73-a79a-51f3-9a58-9422e1191f65
DOI
10.64898/2026.01.07.698044
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.
Neural representations supporting generalization under continual learningDOI 10.64898/2026.01.07.698044
Select a neighboring publication to make it the new centre.