Leonel E. Medina

Retinal Electrophysiological Patterns in Alzheimer's Disease: A Multi-Domain Signal Processing Framework for Non-Invasive Biomarker Discovery Using a Portable ERG Device

This paper applies multi-domain signal processing to ERG data from AD patients and controls, identifying significant biomarkers that improve AD detection accuracy.

XBP1s as a Therapeutic Target to Preserve Retinal Function During Aging and Neurodegeneration

This study shows that sustained XBP1s expression preserves retinal function and complexity in aging and Alzheimer's disease models.

Towards a more accurate quasi-static approximation of the electric potential for neurostimulation with kilohertz-frequency sources

This study evaluates the accuracy of quasi-static approximations for electric potential in neurostimulation models, showing when more precise calculations are needed for kilohertz-frequency signals.

A partially averaged system to model neuron responses to interferential current stimulation

This paper introduces a simplified computational model of interferential current stimulation to predict neuronal responses and identify parameter ranges for effective stimulation.

Multiscale Entropy Analysis of Retinal Signals Reveals Reduced Complexity in a Mouse Model of Alzheimer's Disease

This study uses multiscale entropy analysis to show reduced retinal signal complexity in a mouse model of Alzheimer's disease, suggesting complexity loss with aging and disease.

Creating a neuroprosthesis for active tactile exploration of textures

This study demonstrates that intracortical microstimulation can convey texture information through active tactile exploration in monkeys, following Weber's law, suggesting potential for neuroprosthetic texture sensing.