Aina Puce
Indiana University
Professor (Associate, Full, Senior Lecturer or above)
Brain correlates of facial motion processing [EEG, fMRI, ECoG]
Implicit versus explicit processing of social information by the human brain
Best practices in data acquisition and sharing in MEG and EEG
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Training: BAppSc (Biophysics/Instr Sci) 1981, MApp Sc (Physics) 1985 Swinburne Inst of Technology, Melbourne, Australia; PhD (Medicine) 1990, Univ of Melbourne; Post-doc & Research Scientist: 1993-98, Neurosurgery, Yale Univ School of Med, USA.
Research: In my Social Neuroscience Lab we study the brain basis of non-verbal social cognition – focusing on how consciously or unconsciously perceived stimuli let us assess others’ intentions, goals and mental states. We use functional & structural magnetic resonance imaging (MRI), infrared eye tracking, high-density electroencephalography (EEG), magnetoencephalography (MEG) & electrocorticography (ECoG).
Science must be based on valid scientific method. I have co-written a textbook on MEG-EEG methods [Riitta Hari & Aina Puce (2017) MEG-EEG Primer, New York, Oxford University Press]. I am active in efforts encouraging best practices in neuroimaging, open science & data analysis/sharing [see Pernet et al., (2018) https://osf.io/a8dhx/].