Speaker: Dr. Hui Zhang (Beijing Advanced Innovation Center for Big Data and Brain Computing)　　

Title：The Decoding of facial expressions and facial identities in the primate brain 

Time: November 06 (Monday) 2017, 09: 30-11:30am

Venue: Conference 237, KIZ main campus

Everyone is welcome! 

National Research Facility for Phenotypic and Genotypic Analysis of Model Animals (Non-Human Primates)

　2017-11-1 

Introduction of the presentation:

　　Face recognition is crucial for effective social interactions. Both human and non-human primates discriminate different categories of facial expressions and identities automatically and effortlessly. However, the underlying neural computations for the ability remain unclear. The current talk describes how the functional magnetic resonance imaging (fMRI) and support vector machine (SVM) pattern classification analysis are utilized to decode different categories of facial expressions and facial identities in the primate brain. The talk will also highlight neurobiological evidence that facial expression and facial identity occurs in different neural substrates in the brain. 

Introduction of the speaker:

Dr Hui Zhang is currently a research associate professor at Beijing Advanced Innovation Center for Big Data and Brain Computing (BDBC), school of computer science and engineering, Beihang University. Dr. Hui Zhang received Ph.D degree in computer science at the institute of automation, Chinese academy of sciences, in 2009. She then worked as an assistant professor at the Department of Radiology, Peking University School of Oncology. In November 2010, Hui joined Dr. Leslie Ungerleider’s lab as a postdoctoral fellow in the National Institute of Mental Health (NIMH), where she focuses her study on using functional MRI and machine learning methods to understand how primates recognize facial expressions and facial individuals. In March 2017, Hui joined the Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University as a faculty member.