Are deep neural networks adequate behavioral models of human visual perception?
Deep neural networks (DNNs) are machine learning algorithms that have revolutionized
computer vision due to their remarkable successes in tasks like object classification and …
computer vision due to their remarkable successes in tasks like object classification and …
Diverse deep neural networks all predict human inferior temporal cortex well, after training and fitting
Deep neural networks (DNNs) trained on object recognition provide the best current models
of high-level visual cortex. What remains unclear is how strongly experimental choices, such …
of high-level visual cortex. What remains unclear is how strongly experimental choices, such …
Unsupervised learning predicts human perception and misperception of gloss
Reflectance, lighting and geometry combine in complex ways to create images. How do we
disentangle these to perceive individual properties, such as surface glossiness? We suggest …
disentangle these to perceive individual properties, such as surface glossiness? We suggest …
The case against probabilistic inference: a new deterministic theory of 3D visual processing
F Domini - … Transactions of the Royal Society B, 2023 - royalsocietypublishing.org
How the brain derives 3D information from inherently ambiguous visual input remains the
fundamental question of human vision. The past two decades of research have addressed …
fundamental question of human vision. The past two decades of research have addressed …
Geometric and radiometric recording of prehistoric graphic expression: the case of Peña Tu (Asturias, Spain)
In the studies on Prehistoric Graphic Expression, there are recurrent discussions about the
tracings generated by different observers of the same motif. Methodological issues …
tracings generated by different observers of the same motif. Methodological issues …
[HTML][HTML] From boundaries to bumps: when closed (extremal) contours are critical
Invariants underlying shape inference are elusive: A variety of shapes can give rise to the
same image, and a variety of images can be rendered from the same shape. The occluding …
same image, and a variety of images can be rendered from the same shape. The occluding …
Memory editing: The role of temporal discontinuities in the compression of events in episodic memory editing.
Why does it take less time to remember an event than to experience it? Recent evidence
suggests that the dynamic unfolding of events is temporally compressed in memory …
suggests that the dynamic unfolding of events is temporally compressed in memory …
A simple optical flow model explains why certain object viewpoints are special
A core challenge in perception is recognizing objects across the highly variable retinal input
that occurs when objects are viewed from different directions (eg front versus side views). It …
that occurs when objects are viewed from different directions (eg front versus side views). It …
Do machines really understand meaning?(again)
The adventure of artificial intelligence (AI) is based on a revolutionary idea, namely, that
machines are able to understand and produce linguistic acts endowed with meaning. Over …
machines are able to understand and produce linguistic acts endowed with meaning. Over …
Distinguishing mirror from glass: A “big data” approach to material perception
Distinguishing mirror from glass is a challenging visual inference, because both materials
derive their appearance from their surroundings, yet we rarely experience difficulties in …
derive their appearance from their surroundings, yet we rarely experience difficulties in …