Deep non-linear mixed effects modelling of voltage-gated potassium channels
Domas Linkevicius, Angus Chadwick, Melanie Stefan, David Sterratt · Bernstein Conference 2024
Automated voltage-clamp recordings from 40 voltage-gated potassium (Kv) channels [1] revealed the inherent kinetic heterogeneity of some Kv types expressed in the brain (e.g. Kv1.3). A model capable of capturing the kinetic Kv heterogeneity requires both fixed model features shared between cells, and the ability to capture the variability present in individual cells. The classical Hodgkin Huxley (HH) formalism [2], by itself, does not possess these properties. We apply the Deep Non-Linear Mixed Effects (DeepNLME) framework [3] to model the kinetic Kv heterogeneity. DeepNLME combines deep lea