Biophysically inspired mean-field model of neuronal populations driven by ion-exchange mechanisms.

A biophysically detailed mean-field model of neuronal populations reveals how ion-exchange mechanisms influence brain activity, capturing diverse patterns and modulating neural dynamics.

• Why it matters: Understanding the role of extracellular ion fluctuations is crucial for identifying biomarkers and developing treatments for brain disorders like epilepsy, yet current models lack this detail.
• What they did: The authors developed a mean-field model based on Hodgkin-Huxley neurons that incorporates ion-exchange processes, maintaining biophysical interpretability and simulating a wide range of activity patterns.
• The result: The model successfully reproduces activity modulations observed in experiments, providing a platform to explore brain dysfunctions and identify potential therapeutic targets.