Beyond Human-Level: AI Is Now Processing Images Like Your Brain!
Failed to add items
Add to basket failed.
Add to wishlist failed.
Remove from wishlist failed.
Adding to library failed
Follow podcast failed
Unfollow podcast failed
Beyond Human-Level: AI Is Now Processing Images Like Your Brain!
-
Narrated by:
-
By:
About this listen
Send us a text
This research paper investigates the convergence of artificial intelligence models with the human brain's visual processing, specifically using DINOv3 self-supervised vision transformers. It aims to disentangle the factors influencing this brain-model similarity, such as model architecture, training methodology, and data type. The authors utilize fMRI and MEG brain recordings to compare the AI models' representations, employing three key metrics: overall representational similarity (encoding score), topographical organization (spatial score), and temporal dynamics (temporal score). The study finds that larger models, extended training, and human-centric image data all contribute significantly to achieving higher brain-similarity scores, with brain-like representations emerging in a specific chronological order during training that aligns with the human brain's developmental and structural properties.