Drawing as a versatile cognitive tool

JE Fan, WA Bainbridge, R Chamberlain… - Nature Reviews …, 2023 - nature.com
Drawing is a cognitive tool that makes the invisible contents of mental life visible. Humans
use this tool to produce a remarkable variety of pictures, from realistic portraits to schematic …

Development of visual object recognition

V Ayzenberg, M Behrmann - Nature Reviews Psychology, 2024 - nature.com
Object recognition is the process by which humans organize the visual world into
meaningful perceptual units. In this Review, we examine the developmental origins and …

Jackdaws form categorical prototypes based on experience with category exemplars

A Apostel, LA Hahn, J Rose - Brain Structure and Function, 2024 - Springer
Categorization represents one cognitive ability fundamental to animal behavior. Grouping of
elements based on perceptual or semantic features helps to reduce processing resources …

Diffusion models as artists: are we closing the gap between humans and machines?

V Boutin, T Fel, L Singhal, R Mukherji… - arXiv preprint arXiv …, 2023 - arxiv.org
An important milestone for AI is the development of algorithms that can produce drawings
that are indistinguishable from those of humans. Here, we adapt the'diversity vs …

Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks

V Boutin, R Mukherji, A Agrawal, S Muzellec… - arXiv preprint arXiv …, 2024 - arxiv.org
Humans can effortlessly draw new categories from a single exemplar, a feat that has long
posed a challenge for generative models. However, this gap has started to close with recent …

Using Compositionality to Learn Many Categories from Few Examples

I Sucholutsky, B Zhao, T Griffiths - … of the Annual Meeting of the …, 2024 - escholarship.org
Humans have the remarkable ability to learn new categories from few examples, but how
few examples can we actually learn from? Recent studies suggest it may be possible to …

[HTML][HTML] How does the primate brain combine generative and discriminative computations in vision?

B Peters, JJ DiCarlo, T Gureckis, R Haefner, L Isik… - ArXiv, 2024 - ncbi.nlm.nih.gov
Vision is widely understood as an inference problem. However, two contrasting conceptions
of the inference process have each been influential in research on biological vision as well …

Memory-Dependent Computation and Learning in Spiking Neural Networks Through Hebbian Plasticity

T Limbacher, O Özdenizci… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Spiking neural networks (SNNs) are the basis for many energy-efficient neuromorphic
hardware systems. While there has been substantial progress in SNN research, artificial …

Development of object recognition

V Ayzenberg, M Behrmann - 2022 - osf.io
Object recognition is the process by which humans organize the visual world into
meaningful perceptual units. To understand this ability in humans, it is important to examine …

Inferring shape transformations in a drawing task

F Schmidt, H Tiedemann, RW Fleming… - Memory & …, 2023 - Springer
Many objects and materials in our environment are subject to transformations that alter their
shape. For example, branches bend in the wind, ice melts, and paper crumples. Still, we …