Boosting RSNNs for long-term memory
Because even spiking neurons deserve a memory boost!
I work on machine learning across the compute spectrum,
from neuromorphic chips to large-scale training. Based in Montreal.
Because even spiking neurons deserve a memory boost!
Deepfakes are getting smarter; so should detection!
This post examines the value depreciation of electric vehicles (EV) in the Montreal area, with an analysis of the impact of the Quebec government's decision to phase out the Roulez Vert program on the value.
In this post, I explore a seemingly straightforward coin flip game between two players. Interestingly, the intuitive approach fails when validated with a Monte Carlo simulation.
New publication in Nature Communications on electropolymerized dendritic connections for neuromorphic hardware.
Like a proper nerd, I wore an ECG during my thesis defense. Here is the data!
Unsupervised local learning based on voltage-dependent synaptic plasticity for resistive and ferroelectric synapses.
Communications Materials (2026)
DOI ↗Enhancing Temporal Learning in Recurrent Spiking Networks for Neuromorphic Applications.
Neuromorphic Computing and Engineering (2025)
DOI ↗Structural Plasticity for Neuromorphic Networks with Electropolymerized Dendritic PEDOT Connections.
Nature Communications (2023)
DOI ↗