Martin Müller

The paper develops a normative model to show that transsynaptic nano-architecture optimizes postsynaptic current amplitude and minimizes delay during multivesicular release at the Drosophila NMJ.

This study shows that miR-138-5p suppresses excitatory synaptic strength in the cerebellum by affecting both pre- and postsynaptic mechanisms.

This paper introduces miniML, a deep learning framework for automated synaptic event detection that outperforms existing methods in precision and recall across diverse preparations and species.

The paper shows that transsynaptic nanocolumn rings rapidly modulate during homeostatic plasticity to stabilize synaptic efficacy.

This study identifies Thin, an E3 ligase, as a regulator of presynaptic homeostatic plasticity by repressing neurotransmitter release through degradation of Dysbindin.

The paper shows that different receptor perturbations leading to reduced synaptic activity trigger distinct molecular pathways for presynaptic homeostatic plasticity in Drosophila.

This study shows GluA4 is essential for cerebellar associative memory formation by enhancing pattern separation through synaptic mechanisms.

The paper discovers rapid presynaptic homeostatic plasticity at mossy fiber synapses in the mouse cerebellum that stabilizes synaptic transmission within minutes after receptor impairment.