Starting around 6 to 9 months of age, children begin acquiring their first words, linking
spoken words to their visual counterparts. How much of this knowledge is learnable from …

Abstract Recently, Orhan and Lake demonstrated the computational plausibility that children
can acquire sophisticated visual representations from natural input data without inherent …

Researchers have recently argued that the capabilities of Large Language Models (LLMs)
can provide new insights into longstanding debates about the role of learning and/or …

How do newborns learn to see? We propose that visual systems are space-time fitters,
meaning visual development can be understood as a blind fitting process (akin to evolution) …

Our algorithmic understanding of vision has been revolutionized by a reverse engineering
paradigm that involves building artificial systems that perform the same tasks as biological …

A wealth of studies report evidence that occipitotemporal cortex tessellates into" category-
selective" brain regions that are apparently specialized for representing ecologically …

Since the earliest proposals for neural network models of the mind and brain, critics have
pointed out key weaknesses in these models compared to human cognitive abilities. Here …

Recent self-supervised learning (SSL) models trained on human-like egocentric visual
inputs substantially underperform on image recognition tasks compared to humans. These …

Human children far exceed modern machine learning algorithms in their sample efficiency,
achieving high performance in key domains with much less data than current models …

Children learn powerful internal models of the world around them from a few years of
egocentric visual experience. Can such internal models be learned from a child's visual …