Neuroscientists have long characterized the properties and functions of the nervous system,
and are increasingly succeeding in answering how brains perform the tasks they do. But the …

Properties of spatially explicit data are often ignored or inadequately handled in machine
learning for spatial domains of application. At the same time, resources that would identify …

Theory of mind (ToM), or the ability to impute unobservable mental states to others, is central
to human social interactions, communication, empathy, self-consciousness, and morality …

The human brain contains multiple regions with distinct, often highly specialized functions,
from recognizing faces to understanding language to thinking about what others are …

Eleven large language models (LLMs) were assessed using 40 bespoke false-belief tasks,
considered a gold standard in testing theory of mind (ToM) in humans. Each task included a …

For more than 100 years we have known that the visual field is mapped onto the surface of
visual cortex, imposing an inherently spatial reference frame on visual information …

The question of whether artificial beings or machines could become self-aware or
consciousness has been a philosophical question for centuries. The main problem is that …

Visual object recognition is one of the most fundamental and challenging research topics in
the field of computer vision. The research on the neural mechanism of the primates' …

Knowledge Distillation (KD) is a strategy for the definition of a set of transferability gangways
to improve the efficiency of Convolutional Neural Networks. Feature-based Knowledge …

Our long accepted and historically-persistent human narrative almost exclusively places us
at the motivational centre of events. The wellspring of this anthropocentric fable arises from …