HELMUT J. SCHMIDT

This study uses fixel-based analysis to find reduced frontal fibre density in male first-episode psychosis patients compared to controls, with no significant differences in females.

This study presents a computational model of the motor pathway that reproduces individual MEP waveforms and reveals the critical role of spinal recurrent inhibition in shaping their temporal structure.

This study identifies cortical cell-type and receptor gradients that correlate with resting-state alpha-BOLD coupling patterns.

This study uses computational modeling and in vitro experiments to investigate how low-frequency electrical stimulation delays seizures by modulating ion dynamics and neuronal excitability in rat hippocampal slices.

This study uses a mathematical model of cortical microcircuits to show that input variability affects EEG-BOLD correlations, revealing negative alpha-BOLD and positive gamma-BOLD relationships.

This study examines structural connectivity disruptions in patients with first episode schizophrenia, finding reduced connectivity in specific brain regions linked to cognitive and language functions.

The paper links white matter brain structure to individual differences in language processing and learning success through specific network motifs identified via diffusion tractography.

The paper models the visual microcircuit in the mouse primary visual cortex, showing that superficial and deep layers implement bistable switches based on inhibitory connectivity between SST, PV, and VIP cells, leading to state transitions with distinct oscillatory patterns.

This study develops a computationally efficient model to simulate spike propagation in peripheral nerve bundles, showing that axon diameter heterogeneity affects ephaptic coupling and synchronisation.

This paper investigates how heterogeneity in the external pallidum (GPe) affects its dynamic regimes and response to oscillatory input, proposing hypotheses about dopamine depletion's effects on neural oscillations.

The paper demonstrates that ephaptic coupling in white matter fibre bundles reduces axonal transmission delays by accelerating spike propagation through depolarisation.

This study derives mean-field descriptions of bursting dynamics in spiking neural networks with short-term adaptation mechanisms and validates them through bifurcation analysis and comparison with microscopic dynamics.

The paper introduces three measures to predict seizure onset patterns using interictal brain network properties from scalp EEG data.

This paper develops a mathematical framework to model action potential propagation in myelinated axons, finding that myelin thickness strongly influences velocity and that ephaptic coupling can synchronize and slow action potentials.

The paper investigates how oscillatory inputs affect network dynamics in cognitive tasks, finding that slow oscillations activate memory recall states while faster oscillations clear memory states.