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L. Itti, New Eye-Tracking Techniques May Revolutionize Mental Health Screening, Neuron, Vol. 88, No. 3, pp. 442-444, Nov 2015. [2014 impact factor: 15.054]
Abstract: Visually-guided behavior recruits a network of brain regions so extensive that it is often affected by neuropsychiatric disorders, producing measurable atypical oculomotor signatures. Wang et al. (2015) combine eye tracking with computational attention models to decipher the neurobehavioral signature of autism.
Themes: Medical Research, Human Eye-Tracking Research, Model of Bottom-Up Saliency-Based Visual Attention
Copyright © 2000-2007 by the University of Southern California, iLab and Prof. Laurent Itti.
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