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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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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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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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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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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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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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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