Neural mechanisms of face familiarity and learning in the human amygdala and hippocampus
Recognizing familiar faces and learning new faces play an important role in social cognition.
However, the underlying neural computational mechanisms remain unclear. Here, we …
However, the underlying neural computational mechanisms remain unclear. Here, we …
Can micro-expressions be used as a biomarker for autism spectrum disorder?
Introduction Early and accurate diagnosis of autism spectrum disorder (ASD) is crucial for
effective intervention, yet it remains a significant challenge due to its complexity and …
effective intervention, yet it remains a significant challenge due to its complexity and …
Design and Development of a System for Monitoring Student Attention and Concentration during Learning using CNN Model and Face Landmark Detection
Mobile learning media has been wide and provides a tendency for lecturers to identify
students' concentration levels in online classes. To bring the class into active learning …
students' concentration levels in online classes. To bring the class into active learning …
Expression recognition algorithm in canonical domain based on sensitive feature extraction
X Ren, L Ma, S Su - Third International Symposium on …, 2024 - spiedigitallibrary.org
Discuss the objective problems and limitations found in the case of strong specificity, high
discrimination requirements and regional significance. The use of the nonlinear module to …
discrimination requirements and regional significance. The use of the nonlinear module to …
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Recognizing familiar faces and learning new faces play an important role in social cognition.
However, the underlying neural computational mechanisms remain unclear. Here, we …
However, the underlying neural computational mechanisms remain unclear. Here, we …