Back to search

Article

Flexible multitask computation in recurrent networks utilizes shared dynamical motifs

2022-08-15

Abstract excerpt

Flexible computation is a hallmark of intelligent behavior. Yet, little is known about how neural networks contextually reconfigure for different computations. Humans are able to perform a new task without extensive training, presumably through the composition of elementary processes that were previously learned. Cognitive scientists have long hypothesized the possibility of a compositional neural code, where comp...

Topics

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

Identifiers and source

Literature Corpus work
87f3c72a-8438-55d4-b2d4-82d47daffbcb
DOI
10.1101/2022.08.15.503870
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.
Flexible multitask computation in recurrent networks utilizes shared dynamical motifsDOI 10.1101/2022.08.15.503870
Select a neighboring publication to make it the new centre.