Program and adapt a behavioral task of gabors/faces detection

During my M1 internship, I adapted and modified a Python code using PsychoPy. It is a software which permits to create psychological stimuli, here gabors and faces. During the task, participants had to answer with the arrows of the keyboard whether the presented stimuli after a flickering face was a gabor or not.

Analyses of electrophysiological data

During my M2 internship, I created and modified MATLAB scripts in order to analyze electroencephalographic (EEG) data. This project included data preprocessing with normalization, baseline correction and interference suppression. Then, I analyzed these data with fast fourrier transform (FFT) to decompose the signal into sinusoids of different frequencies, and applied a non-linear model to understand the organization of these oscillations within brain areas. Finally, I plotted some graphs to understand the behavior of brain oscillations according to several parameters (position of stimuli, time after stimulus onset...).

Code a behavioral task of animal detection

For the cognitive neuroscience teaching unit, I had to program a behavioral task in MATLAB to observe the effect of age on integration of visual, auditory and audio-visual information. The task was programmed using the ‘Cogent’ package which permits to display stimuli on a screen. During the task, participants had to press space bar when a frog appeared (the other animals had to be ignored). A detected frog moved in a corner to join either lily pads or logs according to its visual and auditory characteristics (number of colored spots and croaking pitch).