Creating autonomous robots that can actively explore the environment, acquire knowledge
and learn skills continuously is the ultimate achievement envisioned in cognitive and …

Active inference is a leading theory in neuroscience that provides a simple and neuro-
biologically plausible account of how action and perception are coupled in producing …

Vigorous research has been conducted to accumulate biological and theoretical knowledge
about neurodevelopmental disorders, including molecular, neural, computational, and …

Bridging the gap between motion models and reality is crucial by using limited data to
deploy robots in the real world. Deep learning is expected to be generalized to diverse …

The brain attenuates its responses to self-produced exteroceptions (eg, we cannot tickle
ourselves). Is this phenomenon, known as sensory attenuation, enabled innately, or …

Introduction Investigating the pathological mechanisms of developmental disorders is a
challenge because the symptoms are a result of complex and dynamic factors such as …

Introduction Associating multimodal information is essential for human cognitive abilities
including mathematical skills. Multimodal learning has also attracted attention in the field of …

Aberrant sense of agency (SoA, a feeling of control over one's own actions and their
subsequent events) has been considered key to understanding the pathology of …

Predictive coding is an emerging theoretical framework for explaining human perception
and behavior. The proposed underlying mechanism is that signals encoding sensory …

Functional connectivity (FC) and neural excitability may interact to affect symptoms of autism
spectrum disorder (ASD). We tested this hypothesis with neural network simulations, and …