Categorization of Emotional Faces in Insomnia Disorder

initial orientation of attention towards emotional faces in children with attention deficit hyperactivity disorder.

objective: early recognition of negative emotions is considered to be of vital importance. it seems that children with attention deficit hyperactivity disorder have some difficulties recognizing facial emotional expressions, especially negative ones. this study investigated the preference of children with attention deficit hyperactivity disorder for negative (angry, sad) facial expressions comp...

Emotional Faces in Peripheral Crowding

Crowding effect refers to the deficit in identifying viewed targets, such as letters, numerals, line segments, or grating patches, when other shapes are nearby. This effect is reduced when distractors have a different color, contrast, or binocular disparity than that of the target. With feature singleton targets, the crowding effect decreases dramatically with an increasing number of distractor...

Emotional Faces and Cognition

Effectiveness of Cognitive-Behavioral Therapy for Insomnia on Emotional Regulation and Dysfunctional Sleep Beliefs Among Insomnia Patients

Objectives: Human body needs an adequate amount of night’s sleep after a long day to regain its power. This study aims to investigate the effectiveness of cognitive-behavioral therapy for insomnia (CBT-I) on emotional regulation and dysfunctional sleep beliefs among insomniac patients. Methods: This was a quasi-experimental study with a pretest, post-test, follow-up test, and a control group. ...

Categorization of faces using unsupervised feature extraction

Cottrell, Munro & Zipser's (1987) proposal that their image compression network might be used to automatically extract image features for pattern recognition is tested by training a network to compress 64 face images spanning 11 subjects, and 13 non-face images. Features extracted in this manner (the outputs of the hidden units) are given as input to a one layer network trained to distinguish f...