Multidigraph learning (MDGL) for training recurrent spiking neural networks
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Updated
Dec 18, 2021 - Python
Multidigraph learning (MDGL) for training recurrent spiking neural networks
Python port of the PARRM algorithm for removing periodic artefacts from signals.
Image-to-image deep learning framework for MRI to porosity map translation
ANML: A Neuromodulated Meta-Learning algorithm (using the `higher` framework)
A repository implementing a biologically inspired spiking neural network for psychological profiling. This project uses my own "QLIF-Neurons" by incorporating feedback and cross‐connections among key brain regions (e.g., prefrontal cortex, amygdala, hippocampus, thalamus, and striatum) and integrates text‐based emotion analysis.
Python module for interfacing with a tVNS-R stimulator.
Python scripts to generate the data and figures of the morphoSONIC paper by Lemaire et al. (2021).
Wiki for the neuromodulation platform at the Fondation Campus Biotech Geneva.
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