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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Learning new languages with ChatGPT
Published:
ChatGPT and other LLMs are continuously getting better. In around 2 years since its introduction, OpenAI’s assistant has done so much progress and is capable of multimodality, reasoning, and a never-ending list of impressive other things. Personally, it took me quite some time –more than a year– to start using these new tools consistently, and I still haven’t them fully integrated into my workflow. What really convinced me was using them as a language teacher when I started learning Korean, and that’s the small story I want to share here.
Personal pick of best YouTube science channels
Published:
Despite all of its flaws, YouTube is a great place for scientific content creators to share their work, and for us to enjoy. This is non-exhaustive personal selection of my favorite science channels and videos. I am missing other great channels for sure ! I still hope you’ll like it! :) 
portfolio
Stereo depth estimation from the StereoSpike SNN model (MVSEC dataset)
Model inference demonstration 
DeepSTRF: a PyTorch library for sensory neural response modeling with deep neural networks
Repository URL: https://github.com/urancon/deepSTRF
publications
StereoSpike: Depth Learning With a Spiking Neural Network
Published in IEEE Access, 2022
Stereo depth estimation from event cameras with a SNN
Recommended citation: Rançon et al. (2022). "StereoSpike: Depth Learning with a Spiking Neural Network." IEEE Access; doi: 10.1109/ACCESS.2022.3226484
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Optical flow estimation from event-based cameras and spiking neural networks
Published in Frontiers in Neuroscience, 2023
Optic flow regression from even-based cameras with SNNs on MVSEC and DSEC datasets
Recommended citation: Cuadrado et al. (2023). "Optical flow estimation from event-based cameras and spiking neural networks." Frontiers in Neuroscience; doi: https://doi.org/10.3389/fnins.2023.1160034
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FPGA implementation of a Spiking Neural Network for Real-Time Action Potential and Burst Detection
Published in 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2023
Neuromorphic hardware implementation of an SNN for real-time online spike detection from micro-electrode array electrophysiology data
Recommended citation: Cheslet et al. (2023). "FPGA implementation of a Spiking Neural Network for Real-Time Action Potential and Burst Detection." BioCAS; doi: 10.1109/BioCAS58349.2023.10388622
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A general model unifying the adaptive, transient and sustained properties of ON and OFF auditory neural responses
Published in PLoS Computational Biology, 2024
Augmenting and benchmarking models of auditory neural responses on various datasets
Recommended citation: Rançon et al. (2024). "A general model unifying the adaptive, transient and sustained properties of ON and OFF auditory neural responses." PLoS Computational Biology; doi: https://doi.org/10.1371/journal.pcbi.1012288
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Temporal recurrence as a general mechanism to explain neural responses in the auditory system
Published in Communications Biology, 2025
Using and reverse-engineering deep gated RNNs as auditory neural response models
Recommended citation: Rançon et al. (2025). "Temporal recurrence as a general mechanism to explain neural responses in the auditory system." Communications biology; doi: 10.1038/s42003-025-08858-3
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Dreaming up scale invariance via inverse renormalization group
Published in arXiv, 2025
Using a minimal machine learning model to generate plausible 2d Ising configurations at criticality
Recommended citation: Rançon et al. (2025). "Dreaming up scale invariance via inverse renormalization group." ArXiv; doi: https://doi.org/10.48550/arXiv.2506.04016
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DelRec: learning delays in recurrent spiking neural networks
Published in arXiv, 2025
An efficient algorithm to learn delays in recurrent spiking neural networks with surrogate gradients
Recommended citation: Quéant et al. (2025). "DelRec: learning delays in recurrent spiking neural networks." ArXiv; doi: https://doi.org/10.48550/arXiv.2509.24852
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talks
teaching
Managing an Arduino project
Undergraduate course, Bordeaux University Technical Institute (IUT), Department of Electrical Engineering (GEII), 2021
Teaching 1st year students programming in Arduino, and guiding them on a personal hands-on project of their choice.
Introduction to Spiking Neural Networks
Graduate course, University of Toulouse (Paul Sabatier), Master of neuroscience, 2024
Introductory course on low-level modeling of the brain with spiking neural networks (SNNs).