Neuromodulatory Control Networks (NCNs), a novel LLM architectural modification inspired by the neuromodulatory systems in the vertebrate brain.

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 scripts to generate the data and figures of the morphoSONIC paper by Lemaire et al. (2021).

Synaptic vesicle fusion model (Church et al 2021)

Python module for interfacing with a tVNS-R stimulator.

Wiki for the neuromodulation platform at the Fondation Campus Biotech Geneva.