Real-Time Phase Masks for Interactive Stimulation of Optogenetic Neurons

TL;DR

This paper presents a CUDA-based hologram computation method enabling real-time, high-precision optogenetic neuron stimulation with high spatio-temporal selectivity, advancing neural network experimental techniques.

Contribution

It introduces a real-time hologram computation approach using CUDA for precise optogenetic neuron stimulation, improving upon prior static or slower methods.

Findings

Achieved real-time hologram computation for neuron stimulation

Demonstrated high spatio-temporal selectivity in experiments

Enabled reliable and energy-efficient neuron targeting

Abstract

Experiments with networks of optogenetically altered neurons require stimulation with high spatio-temporal selectivity. Computer-assisted holography is an energy-efficient method for robust and reliable addressing of single neurons on the millisecond-timescale inherent to biologial information processing. We show that real-time control of neurons can be achieved by a CUDA-based hologram computation.