A new discovery of how bees use their flight movements to facilitate remarkably accurate learning and recognition of complex visual patterns could mark a major change in how next-generation AI is ...

Active vision dynamically refines spatiotemporal neural representations, optimising visual processing through scanning behaviour and non-associative learning, providing insights into efficient sensory ...

Teachers can explore with students what not to do—like confusing operations in math or using boring word choices in ...

A total of 102 participants were randomly assigned to either the observation or control group while performing a two-armed bandit task under self- and other-reward conditions, and their behavioral ...

This leaves open the possibility that RL models could perform just as well or even show superiority over the preference learning model, casting doubt on the authors' conclusions. Of note: even the ...

Spatial heterogeneity refers to the variation or differences in characteristics or features across different locations or areas in space. Spatial data refers to information that explicitly or ...

A carefully vetted film can educate clients, their family members, and aspiring mental health professionals about psychological conditions, including how they manifest and the challenges they ...

In this article, a dynamics observation model is proposed to obtain the information of the pose of a moving object and its higher order motion, which is one of the fundamental tasks in the field of ...

Here, we combine computational learning models and functional MRI to investigate whether, and if so, how empathic and non-empathic responses observed in others affect the empathy of female observers.

Bandura’s social learning model (1986) highlights the importance of learning within the care setting. Aims This pilot study aims to harness an educational approach which will consist of observational ...