Back to search

Article

A battery of image classification challenges reveals shared and distinct object categorization behavior across monkeys, humans, and deep networks

2025-04-03

Abstract excerpt

Humans categorize objects at multiple levels of abstraction—animate versus inanimate, big versus small, and many other attributes. Despite its apparent challenge, the advent of deep neural networks (DNNs) has demonstrated that complex visual processing alone can support such classification without language or human-specific knowledge. This raises a natural question: to what extent can non-human primates, without l...

Topics

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

Identifiers and source

Literature Corpus work
1a33841a-fc0e-5ca6-85ef-e0431cc3c297
DOI
10.1101/2025.04.02.646407
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 battery of image classification challenges reveals shared and distinct object categorization behavior across monkeys, humans, and deep networksDOI 10.1101/2025.04.02.646407
Select a neighboring publication to make it the new centre.