Better models of human high-level visual cortex emerge from natural language supervision with a large and diverse dataset
High-performing neural networks for vision have dramatically advanced our ability to
account for neural data in biological systems. Recently, further improvement in performance …
account for neural data in biological systems. Recently, further improvement in performance …
Incorporating natural language into vision models improves prediction and understanding of higher visual cortex
We hypothesize that high-level visual representations contain more than the representation
of individual categories: they represent complex semantic information inherent in scenes …
of individual categories: they represent complex semantic information inherent in scenes …
What comparing deep neural networks can teach us about human vision
K Seeliger, MN Hebart - Nature Machine Intelligence, 2024 - nature.com
What comparing deep neural networks can teach us about human vision | Nature Machine
Intelligence Skip to main content Thank you for visiting nature.com. You are using a browser …
Intelligence Skip to main content Thank you for visiting nature.com. You are using a browser …
[HTML][HTML] Shared representations of human actions across vision and language
Humans can recognize and communicate about many actions performed by others. How are
actions organized in the mind, and is this organization shared across vision and language …
actions organized in the mind, and is this organization shared across vision and language …
[PDF][PDF] Testing the Alignment of Multi-Modal Neural Network Models to Human Brain Areas
N Alvandian - 2024 - klab.tch.harvard.edu
Studying brain function often involves controling stimuli and recording neural responses.
This approach has significantly advanced our understanding of sensory processing …
This approach has significantly advanced our understanding of sensory processing …
On the cognitive alignment between humans and machines
M Rothermel, SS Daftarian, TA Koosha… - UniReps: 2nd Edition of … - openreview.net
In this paper, we explore the psychological relevance, similarity to brain representations,
and subject-invariance of latent space representations in generative models. Using fMRI …
and subject-invariance of latent space representations in generative models. Using fMRI …