Neural decoding [Teaching]
Feb 2025
PSY3913, UdeM (Montréal, QC)
Taught a guest lecture in French on Neural Decoding for a course on AI, psychology and cognitive neuroscience at Université de Montréal.
Attending to errors in predictive coding [Workshop and Review]
Aug 8, 2024
CCN GAC workshop (Boston, MA)
Co-organized a Generative Adversarial Collaboration (GAC) workshop for the 2024 Cognitive Computational Neuroscience (CCN) conference. Collaboratively wrote a review paper summarizing key neural mechanisms behind predictive processing, from both theory and experimental standpoints, and proposing critical experiments for advancing the field.
See article in The Transmitter describing this landmark project.
Microlearning Project [Teaching and Online resource]
Aug 2024
Neuromatch Academy (NMA)
Developed a project on the topic of microlearning, and specifically credit assignment and local learning rules in artificial and neural systems for the Neuromatch 2024 NeuroAI Summer School (NMA-NeuroAI 2024). Interactive project notebook freely available here.
The OpenScope Databook: Replicating OpenScope Credit Assignment project figures [Teaching and Online resource]
2024
OpenScope Databook
Created a notebook for replicating figures from our OpenScope Credit Assignment papers (Gillon et al., 2023 and 2024). Developed as part of the Allen Institute's databook on reproducible data analysis and collaborative reuse of open datasets in neuroscience.
Unsupervised and Self-supervised Learning Tutorial [Teaching and Online resource]
Aug 2021
Neuromatch Academy (NMA)
Developed course materials for an interactive coding tutorial introducing the topics of unsupervised and self-supervised learning for the Neuromatch 2021 Deep Learning Summer School (NMA-DL 2021). Tutorial freely available here.
The original development repository, hosting the backend code for the tutorial, can be found here.