J. Parker Mitchell, Catherine D. Schuman and Thomas E. Potok

July, 2020

ICONS: International Conference on Neuromorphic Systems

https://doi.org/10.1145/3407197.3407216

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Abstract

Currently, there is a lack of availability of low cost, low power neuromorphic hardware. In this work, we introduce the μCaspian architecture along with an associated development PCB design which provides a low cost and SWaP (size, weight, and power) optimized neuromorphic hardware platform. Further, our proposed system only uses commercial off the shelf components and an open source FPGA workflow to maximize the accessibility of μCaspian to all researchers.

Citation Information

Text

title           A Small, Low Cost Event-Driven Architecture for Spiking Neural Networks on FPGAs
author          J. P. Mitchell and C. D. Schuman and T. E. Potok
booktitle       International Conference on Neuromorphic Computing Systems (ICONS)
publisher       ACM
month           July
year            2020
url             https://doi.org/10.1145/3407197.3407216
doi             10.1145/3407197.3407216

Bibtex

@INPROCEEDINGS{msp:20:asl,
    title = "A Small, Low Cost Event-Driven Architecture for Spiking Neural Networks on FPGAs",
    author = "J. P. Mitchell and C. D. Schuman and T. E. Potok",
    booktitle = "International Conference on Neuromorphic Computing Systems (ICONS)",
    publisher = "ACM",
    month = "July",
    year = "2020",
    url = "https://doi.org/10.1145/3407197.3407216",
    doi = "10.1145/3407197.3407216"
}