Encoding models are used for predicting brain activity in response to sensory stimuli with
the objective of elucidating how sensory information is represented in the brain. Encoding …

Personality analysis has been widely studied in psychology, neuropsychology, and signal
processing fields, among others. From the past few years, it also became an attractive …

Explainability and interpretability are two critical aspects of decision support systems. Despite
their importance, it is only recently that researchers are starting to explore these aspects. …

Converging evidence suggests that the primate ventral visual pathway encodes increasingly
complex stimulus features in downstream areas. We quantitatively show that there indeed …

This paper uses multiple specimens, mechanical loading setups and nondestructive evaluation
(NDE) techniques to reliably identify crack initiation in aluminum alloy specimens and …

Here, we present a novel approach to solve the problem of reconstructing perceived stimuli
from brain responses by combining probabilistic inference with deep learning. Our approach …

People form first impressions about the personalities of unfamiliar individuals even after
very brief interactions with them. In this study we present and evaluate several models that …

This paper reviews and discusses research advances on “explainable machine learning” in
computer vision. We focus on a particular area of the “Looking at People” (LAP) thematic …

Blindness affects millions of people around the world. A promising solution to restoring a
form of vision for some individuals are cortical visual prostheses, which bypass part of the …

Neural prosthetics may provide a promising solution to restore visual perception in some
forms of blindness. The restored prosthetic percept is rudimentary compared to normal vision …