Tobias Gänswein

The paper develops a classifier to identify excitatory and inhibitory neurons using HD-MEA recordings without post-hoc labeling, revealing cell-type-specific network dynamics.

This study shows that structured firing sequences emerge in human and murine brain organoids and neonatal brain slices, suggesting innate rather than experience-dependent neural coding.

The paper shows that axonal propagation speeds in the human retina adjust to compensate for differences in axon length, ensuring synchronized action potential arrival times at the optic disc.

The paper develops an experimental platform to analyze excitatory and inhibitory synaptic inputs in neurons and finds that spiking coincides with rapid changes in the E/I ratio.

This paper introduces a multi-modal fitting framework combining patch-clamp and HD-MEA data to build more accurate multicompartment neuron models.

This paper introduces an automated method to reconstruct axons and estimate action-potential propagation velocities from high-density microelectrode array recordings.