Published:
A few days ago, my friend Yulong Huang, PhD at UGent came to me with this idea: What if we organised a scientific and social event in our department to share thoughts, results and ideas about research in social cognition ? 1, 2, 3, on Monday the invitation letter was sent to the department!
Published:
This autumn, I had the opportunity to attend the Cutting EEG Worldwide Summit for the first time. During the transition to my upcoming position, I had the privilege of visiting UGent, my future host university, which was one of the 20 Cutting Gardens featured in this impressive 2023 edition.
On the menu : MNE (python package) tutorial, introduction to Bayesian Hidden-Markov models (HMM <3) and many interesting methodological talks. I was particularly absorbed by Jelmer Borst and Gabriel Weindel’s latest work on HMM solutions. They adapted these models to decompose cognitive stages of single event-related potentials and developped a python-friendly package adapted to ERPs analyses. Their slides and package are available on their Github repository.
Published:
The official resource page of the Profan research programme has finally been released!
Indeed, during my PhD, I had the opportunity to participate in the ProFan project, a large experimental research programme in psychology and education. This project was funded by two French ministries (MENJS and MESRI) and investigated the impact of alternative learning methods on development of social skills and academic performance among vocational students. Of particular interest for my PhD was whether cognitive factors (i.e. working memory capacity) and psychosocial factors (i.e., self-esteem, achievement goals) were likely to play a role during resource-dependent cooperation.
A full summary of my work and a video recording of my PhD defence are now available (in French) on the e-fran platform.
Published:
This autumn, I had the opportunity to attend the Cutting EEG Worldwide Summit for the first time. During the transition to my upcoming position, I had the privilege of visiting UGent, my future host university, which was one of the 20 Cutting Gardens featured in this impressive 2023 edition.
On the menu : MNE (python package) tutorial, introduction to Bayesian Hidden-Markov models (HMM <3) and many interesting methodological talks. I was particularly absorbed by Jelmer Borst and Gabriel Weindel’s latest work on HMM solutions. They adapted these models to decompose cognitive stages of single event-related potentials and developped a python-friendly package adapted to ERPs analyses. Their slides and package are available on their Github repository.