Wout Joseph

Seizure control via astrocyte targeted optogenetic extracellular potassium modulation: computational analysis of K+ vs non-selective cation-conducting opsins

This paper compares potassium-selective and non-selective opsins for astrocyte-targeted extracellular potassium modulation, finding that potassium-selective opsins are more effective in reducing [K+]e.

Evaluation of Neuronal Activation Thresholds for Low-Frequency Electromagnetic Exposure Using Morphologically Realistic Neuron Models

This study evaluates neuronal activation thresholds for low-frequency electromagnetic exposure using realistic neuron models and finds thresholds vary by cell type and anatomy, remaining conservative compared to exposure limits.

Computational analysis of optogenetic inhibition of CA1 neurons using a data-efficient and interpretable potassium and chloride conducting opsin model

This study develops a data-efficient and interpretable model of optogenetic inhibition using potassium and chloride opsins to analyze how parameters and physiological conditions affect seizure suppression in CA1 neurons.

Action Potential Threshold Variability for Different Electrostimulation Models and the Impact on Occupational Exposure Limit Values

This paper compares action potential thresholds across different electrostimulation models and shows how they affect occupational exposure limit values.

Quantitative Analysis of the Optogenetic Excitability of CA1 Neurons

This study uses computational models to analyze optogenetic excitability in CA1 neurons and identifies strategies to improve stimulation protocols.

Nonlinearities and Timescales in Temporal Interference Stimulation

This study investigates how different neuron models respond to temporal interference stimulation and finds that Hodgkin-Huxley models better capture experimental behavior than integrate-and-fire models.

Improved alpha-beta power reduction via combined Electrical and Ultrasonic stimulation in a Parkinsonian Cortex-Basal Ganglia-Thalamus Computational Model

This paper uses a computational model to show that combined electrical and ultrasonic stimulation reduces beta power in Parkinsonian brain networks more effectively than single modalities.