5 papers
Generalisation of neuronal excitability allows for the identification of an excitability change parameter that links to an experimentally measurable value
Jantine A. C. Broek, Guillaume Drion
Neuronal excitability is the phenomena that describes action potential generation due to a stimulus input. Commonly, neuronal excitability is divided into two classes: Type I and T…
From biophysical to integrate-and-fire modelling
Tomas Van Pottelbergh, Guillaume Drion, Rodolphe Sepulchre
This paper proposes a methodology to extract a low-dimensional integrate-and-fire model from an arbitrarily detailed single-compartment biophysical model. The method aims at relati…
Introducing Neuromodulation in Deep Neural Networks to Learn Adaptive Behaviours
Nicolas Vecoven, Damien Ernst, Antoine Wehenkel +1
Animals excel at adapting their intentions, attention, and actions to the environment, making them remarkably efficient at interacting with a rich, unpredictable and ever-changing…
Cellular switches orchestrate rhythmic circuits
Guillaume Drion, Alessio Franci, Rodolphe Sepulchre
Small inhibitory neuronal circuits have long been identified as key neuronal motifs to generate and modulate the coexisting rhythms of various motor functions. Our paper highlights…
Robust and tunable bursting requires slow positive feedback
Alessio Franci, Guillaume Drion, Rodolphe Sepulchre
We highlight that the robustness and tunability of a bursting model critically relies on currents that provide slow positive feedback to the membrane potential. Such currents have…