As an important paradigm of spontaneous brain-computer interfaces (BCIs), motor imagery
(MI) has been widely used in the fields of neurological rehabilitation and robot control …

Neurons in the dorsal visual pathway of the mammalian brain are selective for motion
stimuli, with the complexity of stimulus representations increasing along the hierarchy. This …

Face cells are neurons that respond more to faces than to non-face objects. They are found
in clusters in the inferotemporal cortex, thought to process faces specifically, and, hence …

The human visual cortex enables visual perception through a cascade of hierarchical
computations in cortical regions with distinct functionalities. Here, we introduce an AI-driven …

The temporal cortex represents social stimuli, including bodies. We examine and compare
the contributions of dynamic and static features to the single-unit responses to moving …

During the last decade, artificial intelligence (AI) was applied to nearly all domains of human
activity, including scientific research. It is thus warranted to ask whether AI thinking should …

Cell biologists have long aimed at quantitatively modeling cell function. Recently, the
outstanding progress of high-throughput measurement methods and data processing tools …

The last five years have seen a series of remarkable achievements in Artificial Intelligence
(AI) research. For example, systems based on Deep Neural Networks (DNNs) can now …

Foundation models trained on vast quantities of data have demonstrated impressive
performance in capturing complex nonlinear relationships and accurately predicting …

Drawing on current research in anthropology, cognitive psychology, neuroscience, and the
humanities, Understanding the Human Mind explores how and why we, as humans, find it …