Coarse‑graining from ion channel biophysics to neural network‑level models

Develop a systematic coarse‑graining procedure that starts from realistic biophysical models of ion channel kinetics and single‑neuron electrophysiology and yields tractable network‑level models of neural coding and computation, identifying which microscopic details are retained or eliminated.

Background

Neuroscience has detailed biophysical descriptions of ion channel dynamics and single‑neuron behavior, but there is a major gap between these molecular/cellular models and system‑level theories of neural coding and computation.

A principled coarse‑graining method would bridge scales and clarify how microscopic diversity in ion channels influences macroscopic network dynamics and information processing.