Live Demonstration: Video-to-Spike Conversion Using a Real-Time Retina Cell Network Simulator

Our live demonstration will present a discrete neuronal network simulator of the vertebrate retina, using a collation of prominent single-compartment outer segment neurons and morphologically accurate inner segment neurons. Cascaded models are scarce in literature due to computational intensity, but we successfully produce a biophysically accurate simulator that converts an input stream of pixels at 25–30 fps into a system of graded and spiking membrane potentials in real-time. We hope the simulator better facilitates an understanding of how retina cells represent visual information, and also provide an intuitive manner for neuroscientists to generate responses to video input for improved neural encoding schemes.