Quentin Guisneuf

« Encoding of social hierarchy learning signals at the cellular level in Human » Investigated the neural coding of social hierarchy at the single-neuron level in humans using intracranial microelectrode recordings. Processed and interpreted single-neuron data (spike sorting, event-related analysis) from amygdala and hippocampus. Applied computational models (reinforcement learning, prediction error, uncertainty) to neural and behavioral data.

Effect of stress and sex hormones on learning and adolescent brain. Investigate stress-induced changes in adolescent brain function using fMRI and computational modelling. Examining the interaction between stress hormones and learning mechanisms. CPP and task creation with Matlab. Contributed to the analysis of social learning under stress (Python, R). Developing expertise in fMRI processing pipelines, statistical modelling (SPM, GLM), and experimental design.