Erik De Schutter

The paper develops a biophysical model to show how synaptotagmin-1 and synaptotagmin-7 interact to shape synaptic release patterns through calcium binding and exocytotic kinetics.

The paper models astrocyte electrophysiology to show that localized potassium stimuli disrupt Nernstian behavior, with responses governed by conductance ratios and synaptic input specificity.

The paper shows that astrocytic Best1 mediates a switch in tonic inhibition in cerebellar granule cells during adolescence, enhancing motor coordination through network-level changes.

The paper investigates how the ultrastructural properties of the endoplasmic reticulum (ER) in perisynaptic astrocytic processes (PAPs) influence calcium signaling and microdomain activity.

This study shows that mammalian BK channels have higher unitary conductance, leading to more efficient calcium activation and stronger potassium currents compared to invertebrate channels.

The paper models the synaptic vesicle cycle with high spatial and molecular detail, showing dynamic recycling and regulation by synapsin-1 and tomosyn-1 during sustained activity.

This study shows how Purkinje cell branch morphology and SK2 channels affect somatic pauses, and how feed-forward inhibition can alter pause duration.

The paper develops a computational model of Purkinje cells with dendritic heterogeneity to study how branch-specific ion channel conductance affects synaptic input processing.

The paper develops a computational model to identify mechanisms of perisynaptic astrocyte depolarization, finding that NMDAR and GABAAR activation, rather than potassium/glutamate transporters, drive the phenomenon under physiological conditions.

The paper introduces a general vesicle modeling tool integrated into the STEPS software for simulating vesicle dynamics in cell models with realistic mesh reconstructions.

NeuroDevSim simulates neural development using shared memory parallelization, achieving near-linear scaling up to 128 cores for medium to large models.

The paper shows the cerebellum performs multi-dimensional computations for flexible movement control by analyzing neural activity in monkeys during a saccade task.

STEPS 4.0 improves scalability, performance, and memory efficiency for stochastic reaction-diffusion simulations of neurons.

This paper develops a computational model to study how granule cell interactions influence dendritic tree selection in Purkinje cells during cerebellar development.

This study uses computational models and experimental validation to show that astrocyte nano-morphology shapes Ca2+ signaling and that pathological swelling reduces this activity.

The paper shows that rate-dependent phase response curves in Purkinje cells enable transient oscillations through synchronized spike activity in neural networks.

The paper shows that layer-specific neuronal properties in feedforward networks enhance signal and information transmission by enabling complementary signal transformations across layers.

The paper uses a validated PC model to show voltage and branch-specific climbing fiber responses in Purkinje cells, explaining variability in complex spikes and enhancing dendritic computational capacity.