Flexible behavior requires guidance not only by sensations that are available immediately
but also by relevant mental contents carried forward through working memory. Therefore …

Artificial neural networks (ANNs) are essential tools in machine learning that have drawn
increasing attention in neuroscience. Besides offering powerful techniques for data analysis …

In this paper, we propose a conceptually simple but very effective attention module for
Convolutional Neural Networks (ConvNets). In contrast to existing channel-wise and spatial …

Philosopher Ned Block argues in this book that there is a" joint in nature" between
perception and cognition and that by exploring the nature of that joint, one can solve …

Eye tracking has been widely used for decades in vision research, language and usability.
However, most prior research has focused on large desktop displays using specialized eye …

Inattention is a central, unifying theme for much of behavioral economics. It permeates such
disparate fields as microeconomics, macroeconomics, finance, public economics, and …

Human visual performance changes with visual field location. It is best at the center of gaze
and declines with eccentricity, and also varies markedly with polar angle. These perceptual …

Machine learning, particularly deep learning (DL), has become a central and state-of-the-art
method for several computer vision applications and remote sensing (RS) image …

How is it that thoroughly physical material beings such as ourselves can think, dream, feel,
create and understand ideas, theories and concepts? How does mere matter give rise to all …

Naturalistic experimental paradigms in neuroimaging arose from a pressure to test the
validity of models we derive from highly-controlled experiments in real-world contexts. In …