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Topic: Kv1.1

ePoster
2 ePosters

In Biology and Molecular Neuroscience

ePoster · Computational Neuroscience

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

ePoster · Molecular Neuroscience

The distribution of synapse-relevant proteins along dendrite

Shirin Shafiee, Silvio Rizzoli, Christian Tetzlaff · Bernstein Conference 2024

The functioning of a synapse depends on its accessibility to proteins and, thus, on the localization of protein sources along the dendrite (Westenbroek 2009, Vacher et al. 2008). Therefore, the behaviour of the synapse highly depends on the availability of proteins and ion channels and any perturbation in the localization and availability of these components would lead to a dysfunction of the synapse. Hence, understanding the localization and distribution of ion channels and proteins in the dendrite in relation to the synapse is crucial. Using super-resolution microscopy, Helm et al., 2021 der