This review offers an accessible primer to social neuroscientists interested in neural
networks. It begins by providing an overview of key concepts in deep learning. It then …

Deep learning (DL) approaches may also inform the analysis of human brain activity. Here,
a state-of-art DL tool for natural language processing, the Generative Pre-trained …

We present a novel approach to use curricula to identify principles by which a system learns.
Previous work in curriculum learning has focused on how curricula can be designed to …

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How do neural populations code for multiple, potentially conflicting tasks? Here, we used
computational simulations involving neural networks to define “lazy” and “rich” coding …

Humans and animals routinely infer relations between different items or events and
generalize these relations to novel combinations of items. This allows them to respond …

Brain Inspired Computing (BIC) is an emerging research field that aims to build fundamental
theories, models, hardware architectures, and application systems toward more general …

The monitoring and prediction of the health status and the end of life of batteries during the
actual operation plays a key role in the battery safety management. However, although …

People express their own emotions and perceive others' emotions via a variety of channels,
including facial movements, body gestures, vocal prosody, and language. Studying these …

Disrupted language in psychotic disorders, such as schizophrenia, can manifest as false
contents and formal deviations, often described as thought disorder. These features play a …