Daniel Müller‐Komorowska

Compensation of Hyperexcitability with Simulation-Based Inference

This study uses simulation-based inference to quantify compensatory mechanisms in a spiking neuronal network model under hyperexcitability conditions.

Recurrent Interneuron Connectivity does not Support Synchrony in a Biophysical Dentate Gyrus Model

This study tests if recurrent inhibitory interneuron connectivity can generate synchrony in a biophysical dentate gyrus model and finds it insufficient.

Deciphering the astrocytic contribution to learning and relearning

The paper shows that astrocyte-mediated regulation of D-serine aligns with the BCM model of synaptic plasticity, explaining behavioral effects in mice and predicting new learning mechanisms.

A novel theoretical framework for simultaneous measurement of excitatory and inhibitory conductances

This paper introduces a method to simultaneously measure excitatory and inhibitory conductances in neurons using current clamp recordings and sinusoidal current injection.

Unspecific expression in limited excitatory cell populations in interneuron-targeting Cre-driver lines can have large functional effects

The paper shows that unspecific expression in Cre-driver lines can lead to large functional effects, using SST-Cre mice to demonstrate excitatory current in non-target cells.

Quantitative properties of a feedback circuit predict frequency-dependent pattern separation

The paper quantifies how feedback inhibition in the mouse dentate gyrus contributes to frequency-dependent pattern separation of temporally structured inputs.