The allocation of attention to objects raises several intriguing questions: What are objects,
how does attention access them, what anatomical regions are involved? Here, we review …

Recent studies invoke the superiority of the multivariate Total Correlation concept over the
conventional pairwise measures of functional connectivity in biological networks. Those …

The contrast sensitivity function (CSF) is a fundamental signature of the visual system that
has been measured extensively in several species. It is defined by the visibility threshold for …

It has been demonstrated many times that the behavior of the human visual system is
connected to the statistics of natural images. Since machine learning relies on the statistics …

The contrast sensitivity function (CSF) is a fundamental visual model explaining our ability to
detect small contrast patterns. CSFs found many applications in engineering, where they …

Visual illusions expand our understanding of the visual system by imposing constraints in
the models in two different ways: i) visual illusions for humans should induce equivalent …

A recent study invoked the superiority of the Total Correlation concept over the conventional
pairwise measures of functional connectivity in neuroscience. That seminal work was …

Artificial neural networks (ANNs) are sensitive to perturbations and adversarial attacks. One
hypothesized solution to adversarial robustness is to align manifolds in the embedded …

Subjective image quality measures based on deep neural networks are very related to
models of visual neuroscience. This connection benefits engineering but, more interestingly …

We show that classical hue cancellation experiments lead to human-like opponent curves
even if the task is done by trivial (identity) artificial networks. Specifically, human-like …