Skip to content

Update neuroai_videogames.md with new profiles #48

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
HugoDelhaye wants to merge 1 commit into
base: main
Choose a base branch
from
Open

Update neuroai_videogames.md with new profiles #48

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
8 changes: 8 additions & 0 deletions content/neuroai_videogames.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -12,6 +12,12 @@ In this session you will learn how to train agents to act in complex environment
[Yann Harel](https://scholar.google.com/citations?user=2K-2LacAAAAJ&hl=fr)
:::

::::{grid}
:::{grid-item}
![Hugo Delhaye](https://github.com/SIMEXP/simexp.github.io/blob/main/images/profile_hugo.jpg?raw=true)
[Hugo Delhaye](https://github.com/HugoDelhaye)
:::

:::{grid-item}
![Jean-Baptiste Bonin](images/empty_profile.png)
[Jean-Baptiste Bonin](https://github.com/bat0001)
Expand All @@ -25,6 +31,8 @@ In this session you will learn how to train agents to act in complex environment

**Yann Harel** is a post-doctoral fellow in the SIMEXP laboratory in University of Montreal, working at the intersection of brain imaging, cognitive neuroscience and interactive environments. He is a contributor to the Courtois Neuromod project, where he helped design and build naturalistic neuroimaging datasets, linking real-time videogame behavior with fMRI, physiological and eye-tracking data. His research draws on large-scale open datasets, electrophysiology (EEG, MEG) and fMRI to study learning, attention and flow, as well as practical aspects of human-AI alignment. Beyond data collection, he develops open-source tools for scene-level segmentation, controller instrumentation, and BIDS-compliant pipelines used across multiple labs. He currently leads projects exploring how videogames and real-world tasks can serve as benchmarks for both neuroscience and AI.

**Hugo Delhaye** is a Master’s student in Psychology at Université de Montréal, co-supervised by Lune Bellec and Audrey Durand. His research combines behavioral data, artificial intelligence models, and video game simulations to compare how humans and artificial agents explore and learn from their environments.

**Jean-Baptiste Bonin** is a Master student in Computer Science ...

**Julien Armand** is a Master student in Computer Science ...
Expand Down