Volker Steuber

This paper shows how autapses in spiking neural networks enable temporal pattern recognition by enabling state transitions and memory.

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

This paper introduces a spiking point neuron model that decodes slope and amplitude of continuous signals into spikes, showing efficiency and accuracy comparable to detailed biophysical models.

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

This study examines EEG spectral changes linked to fatigue during robot-mediated gross and fine motor tasks, finding task-specific brain activity patterns associated with physical and mental fatigue.

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.

The paper develops a computational model to show that betaCaMKII regulates bidirectional synaptic plasticity in cerebellar Purkinje cells through actin binding and AMPA receptor phosphorylation.

The paper develops a computational model to show that βCaMKII regulates bidirectional plasticity at PF-PC synapses through actin binding and phosphorylation-dephosphorylation balance of AMPA receptors.