Christoph Metzner

This study develops a spiking network model of auditory novelty detection and shows how SCZ-related cellular changes impair mismatch negativity.

MesoSCOUT uses persistent homology to analyze white matter connectivity differences between schizophrenia and healthy controls, revealing mesoscale structural patterns across datasets.

This study shows that common schizophrenia-associated genetic variants can reduce gamma power in auditory steady-state responses through computational modeling of ion channels.

The paper investigates how uncorrelated noise affects communication between excitatory-inhibitory networks using the PING mechanism, finding that noise can facilitate inter-regional synchronization through reduced intra-network synchronization.

This paper develops a spiking network model to study activity-dependent growth rules in neuronal networks after peripheral lesions, finding that excitatory and inhibitory synaptic elements require opposite growth rules for successful rewiring.

This study uses computational modeling to show that increased GABA decay times in schizophrenia-like networks can reproduce experimentally observed beta-band power increases during gamma stimulation, but only under specific input conditions.

This study uses a computational model to show that subcellular alterations in basket cell synapses, not chandelier cells, contribute to auditory steady-state response deficits in schizophrenia.