Ramandeep S. Vilkhu

This study develops a framework for cellular-resolution electrical stimulation of neurons using current steering and biophysical models, demonstrating its effectiveness in targeting retinal ganglion cells.

The paper develops a biophysical model to study retinal ganglion cell responses to multi-electrode stimulation and validates it with experimental data from macaque retinas.

The paper trains a convolutional neural network to predict retinal ganglion cell responses to natural images in macaques and humans, finding it more accurate than a linear-nonlinear model.

The paper infers electrical stimulation sensitivity of primate retinal ganglion cells from their recorded activity, showing that electrode features and cell compartmental differences affect stimulation thresholds.

The paper presents a method for fabricating 3D microelectrode arrays to interface with neural structures, demonstrating high-resolution recording from retinal ganglion cells.

This study evaluates the effectiveness of focal electrical stimulation in the central macaque retina to reproduce visual signals, finding higher expected image quality compared to the peripheral retina.

This study demonstrates that high-fidelity electrical stimulation of human retinal ganglion cells is achievable with extracellular stimulation, validated through ex vivo experiments and comparison to macaque retina results.