Igor Delvendahl

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

This study uses patient-derived neurons to show mitochondrial dysfunction in MMA leads to neuronal exhaustion and altered excitability.

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 develops a human iPSC-derived neural model to study TDP-43 pathology, identifying NPTX2 misregulation as a key factor in ALS/FTLD neurotoxicity.

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

The paper identifies biophysical gradients in cerebellar granule cells that enable Fourier-like transformation of mossy fiber inputs and enhance spike-timing precision.

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