Neuromodulatory Control Networks (NCNs), a novel LLM architectural modification inspired by the neuromodulatory systems in the vertebrate brain.
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Updated
Dec 11, 2025 - Python
Neuromodulatory Control Networks (NCNs), a novel LLM architectural modification inspired by the neuromodulatory systems in the vertebrate brain.
focused ultrasound toolbox
Multidigraph learning (MDGL) for training recurrent spiking neural networks
A 3D Slicer extension for Openwater’s OpenLIFU (Low Intensity Focused Ultrasound) research platform, providing an advanced interface to features found in the OpenLIFU app.
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.
Control Software for the OpenLIFU Verification Tank
Openwater LIFU SDK — standalone hardware I/O interface library.
Python scripts to generate the data and figures of the morphoSONIC paper by Lemaire et al. (2021).
Pain-induced metaplasticity and heterosynaptic graceful decay in a spiking neural network. Codebase for arXiv preprint 2026.
Model from Tsuda B, Pate SC, Tye KM, Siegelmann HT, Sejnowski TJ. Neuromodulators Generate Multiple Context-Relevant Behaviors in Recurrent Neural Networks Neural Computation, 2026. https://doi.org/10.1162/NECO.a.1489
A biologically-inspired AI with 2.34B virtual neurons, real-time vision, hearing, memory, and emotion — running fully local on GPU
Wiki for the neuromodulation platform at the Fondation Campus Biotech Geneva.
Fork of Slicer extensions index for publishing the SlicerOpenLIFU extension
Part of a neuromodulation research skill workshop. Using Python, students learn how to use image matrix analysis to automatically isolate, identify, and count cells, such as neurons and astrocytes.
Python module for interfacing with a tVNS-R stimulator.
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