Creating innovative bio-convergent technologies for better human life

2017.06.21 Erie Boorman 1.JPG



- Title: Computational and representational approaches to associative learning




- Speaker: Prof. Erie Boorman* (University of California at Davis, USA)








- Date and Time: Wednesday, June 21, 2017 (4:30 pm)**




- Location: #207 (Auditorium), Yang Boon Soon building (E16-1), KAIST




*Brief Bio: Prof. Boorman (Ph.D, MSc, University of Oxford; B.A.(Honors), Stanford) is a core faculty member at the Center for Mind and Brain, UC Davis. His lab seeks mechanistic answers to human decision making and learning at the behavioural, computational, and neural systems levels. His research is multi-disciplinary, lying at the intersection between Psychology, Neuroscience, Behavioral Economics, and AI.