Neural correlates of face perception modeled with a convolutional recurrent neural network.

Event-related potential (ERP) sensitivity to faces is predominantly characterized by an N170 peak that has greater amplitude and shorter latency when elicited by human faces than images of other objects. We aimed to develop a computational model of visual ERP generation to study this phenomenon which consisted of a three-dimensional convolutional neural network (CNN) connected to a recurrent neural network (RNN).The CNN provided image representation learning, complimenting sequence learning of the RNN for modeling visually-evoked potentials.

To Scan or Not to Scan: Overutilization of Computed Tomography for Minor Head Injury at a Pediatric Trauma Center.

Background: Degree of compliance with Pediatric Emergency Care Applied Research Network (PECARN) recommendations for radiographic evaluation following minor head injury in children is not well understood. The aim of this study was to assess PECARN compliance at a pediatric trauma center. The secondary aim was to determine whether children with indeterminate history of loss of consciousness (LOC) are at greater risk for clinically important traumatic brain injury (ciTBI) than those with no LOC.