Explore the neural mechanisms underlying human visual social perception in this 38-minute lecture by MIT post-doctoral researcher Leyla Isik. Delve into cutting-edge research on how the brain recognizes objects and social interactions using MEG, fMRI, and computational modeling techniques. Discover the temporal evolution of object representations in the brain through MEG signal decoding. Learn about a newly identified region in the posterior Superior Temporal Sulcus (pSTS) that processes information about social interactions from visual input. Examine how this finding aligns with a feedforward computational model. Gain insights into visual object recognition, MEG/EEG decoding analysis, machine learning applications in neuroscience, and the dynamics of invariant object recognition. Explore advances in object recognition and social vision research, including experiments on social interaction selectivity in the pSTS using various stimuli. Understand the approach to studying complex social perceptions like helping versus hindering behaviors.
The Neural Basis of Perceiving Human Visual Social Perception
Overview
Syllabus
Visual object recognition
MEG/EEG decoding analysis
Machine learning primer
When can we decode image identity?
When do neural signals generalize?
Invariance arises in stages
Convolutional neural networks (CNN)
The dynamics of invariant object recognition
Advances in object recognition
Social vision
My approach
Perceiving social interactions
Social interaction selectivity?
Social interaction selectivity in the PSTS
Experiment 2
Social interaction selectivity with shape stimuli
Helping vs. hindering
Taught by
MITCBMM
