Lukas Sonnenberg

The paper uses computational models to show that ion channel mutations affect neuronal firing differently across cell types, challenging the use of loss/gain of function classification for neuronal outcomes.

This paper develops a multi-task learning model to predict the functional effects of voltage-gated potassium channel variants, achieving improved accuracy over standard methods.

This paper characterizes the functional impact of the SCN1AA1783V variant in Dravet syndrome by combining electrophysiology, computational modeling, and in vitro validation, showing impaired interneuron firing due to altered channel activation.

This study shows that the primate superior colliculus detects low spatial frequencies in natural scenes more rapidly and over-represents them in neural response sensitivity, aiding efficient gaze realignment.