Back to search

Article

Algebraic structures emerge from the self-supervised learning of natural sounds

2024-03-14

Abstract excerpt

Humans can spontaneously detect complex algebraic structures. Historically, two opposing views explain this ability, at the root of language and music acquisition. Some argue for the existence of an innate and specific mechanism, like “merge” (Chomsky) or “neural recursion” (Dehaene). Others argue that this ability emerges from experience (e.g. Bates): i.e. when generic learning principles continuously process sen...

Topics

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

Identifiers and source

Literature Corpus work
93dc195c-b865-5c15-b6cd-d467f1de5674
DOI
10.1101/2024.03.13.584776
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.
Algebraic structures emerge from the self-supervised learning of natural soundsDOI 10.1101/2024.03.13.584776
Select a neighboring publication to make it the new centre.