Igor Delvendahl

microRNA-138-5p suppresses excitatory synaptic strength at the cerebellar input layer

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

Mitochondrial dysfunction drives a neuronal exhaustion phenotype in methylmalonic aciduria

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

A deep learning framework for automated and generalized synaptic event analysis

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.

Human neural networks with sparse TDP-43 pathology reveal NPTX2 misregulation in ALS/FTLD

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.

GluA4 enables associative memory formation by facilitating cerebellar expansion coding

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

Gradients in the cerebellar cortex enable Fourier-like transformation and improve storing capacity

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

Rapid and Sustained Homeostatic Control of Presynaptic Exocytosis at a Central Synapse

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