Angus Chadwick

The paper develops a unified deep non-linear mixed effects model for voltage-gated potassium channels, improving fit over existing models and enabling modeling of diverse channel types.

This paper introduces a neural network model of contextual fear memory consolidation, incorporating sleep-related processes like replay and synaptic homeostasis to explain memory stabilization and fear generalization.

This study identifies high-dimensional rotational dynamics in neural activity during working memory tasks in monkeys, challenging existing theories of persistent or feedforward activity.

The paper fits and compares calcium-calmodulin kinetic models to a common dataset using non-linear mixed effects modelling, finding better fits and highlighting differences in activation patterns.

The paper shows that learning realigns cortical network dynamics to better integrate relevant sensory input in mice, explained by changes in excitatory-inhibitory connectivity.