M2
Tags
EEG/fNIRS
N170
Information
Laboratory:

Address

Email
morgan.b@parisnanterre.fr
Length of internship
6
Internship Context We are offering a paid six-months research internship during the academic year 2025-2026. The project focuses on Visual Perspective Taking (VPT), investigated through the N170 ERP component measured via EEG, with concurrent fNIRS recordings. The goal is to determine whether humans perceptually simulate what others see, using an innovative dual-participant paradigm featuring four conditions (active vs. passive observer and eyes open vs. closed), and test the hypothesis of an intermediate N170 amplitude when simulating another’s viewpoint. This work builds on prior evidence that the N170 is sensitive to face inversion, demonstrating delayed and enhanced responses for inverted faces. Related Publications • Rossion, B., & Jacques, C. (2008). Does physical interstimulus variance account for early electrophysiological face sensitive responses in the human brain? Ten lessons on the N170. Neuroimage, 39(4), 1959-1979. • Ward, E., Ganis, G., & Bach, P. (2019). Spontaneous vicarious perception of the content of another’s visual perspective. Current Biology, 29(5), 874-880. Intern Missions • Set up and synchronize dual EEG + fNIRS recordings for two participants. • Program the paradigm in MATLAB or Python (four experimental conditions: active/passive observer, eyes open/closed). • Collect data and perform EEG analyses focusing on N170 (amplitude and latency) and fNIRS analyses targeting FFA, OFA, and STS regions. • Engage in hands-on lab duties shared between the LICAÉ and Dysco labs: attend meetings, manage equipment, and help disseminate results. ________________________________________ Required Skills • Currently enrolled in an M1, M2 or gap-year internship or equivalent in cognitive neuroscience or related fields (experimental psychology, biology, engineering, STAPS, etc.). • Experience with EEG/ERP (especially the N170 component) and/or fNIRS. • Programming proficiency in Python (PsychoPy, MNE Python) and/or MATLAB is desired. • Strong motivation for research in social perception and neurophysiology. • High level of autonomy, scientific rigor, and technical curiosity.