Amrith Lotlikar

The paper measures retinal resistivity using electrical resistance tomography in rat retinas, comparing results from commercial and machine learning-based methods.

This study uses electrical stimulation to replicate natural spiking activity in primate retinal neurons, achieving lower variability than visual stimuli.

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.

This paper introduces a dynamically optimized electrical stimulation method to enhance neural activity control in retinal implants, showing improved visual stimulus reconstruction compared to static methods.