C. Rizzo and B. Gullett and A. Crumley and M. Marcum and M. Hyman and C. Earheart-Brown

May, 2025

Neuromorphic Computing and Engineering

http://iopscience.iop.org/article/10.1088/2634-4386/add0db

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Abstract

Neuromorphic computing is a novel style of computing that features low-power spiking neural networks as the main compute components. It is an event-driven computational paradigm that naturally pairs with event-based cameras and their asynchronous event output. In this work, we present NeuroPong, a novel closed-loop neuromorphic hardware system composed of an event-based camera, a neuromorphic system, and an Atari 2600 console. The system facilitates the implementation of spiking neural network Atari agents capable of playing Atari games in real time using event camera capture as input. We perform a small parameter optimization experiment to examine how software agents translate to hardware, discuss some of the challenges intrinsic to the hardware system, and propose some future improvements of the system and its components.

Citation Information

Text

author  C. Rizzo and B. Gullett and A. Crumley and M. Marcum and M. Hyman and C. Earheart-Brown
        and J. Steed and F. Standaert and C. Schuman and J. S. Plank
title   {NeuroPong}: The event-based camera driven embedded neuromorphic system
journal Neuromorphic Computing and Engineering
url     http://iopscience.iop.org/article/10.1088/2634-4386/add0db
doi     10.1088/2634-4386/add0db
year    2025

Bibtex

@ARTICLE{rgc:25:np,
    author = "C. Rizzo and B. Gullett and A. Crumley and M. Marcum and M. Hyman and C. Earheart-Brown
            and J. Steed and F. Standaert and C. Schuman and J. S. Plank",
    title = "{NeuroPong}: The event-based camera driven embedded neuromorphic system",
    journal = "Neuromorphic Computing and Engineering",
    url = "http://iopscience.iop.org/article/10.1088/2634-4386/add0db",
    doi = "10.1088/2634-4386/add0db",
    year = "2025"
}