Design of a Power Efficient Artificial Neuron Using Superconducting Nanowires.

ABSTRACT: With the rising societal demand for more information-processing capacity with lower power consumption, alternative architectures inspired by the parallelism and robustness of the human brain have recently emerged as possible solutions. In particular, spiking neural networks (SNNs) offer a bio-realistic approach, relying on pulses, analogous to action potentials, as units of information. While software encoded networks provide flexibility and precision, they are often computationally expensive. As a result, hardware SNNs based on the spiking dynamics of a device or circuit represent an increasingly appealing direction. Here, we propose to use superconducting nanowires as a platform for the development of an artificial neuron. Building on an architecture first proposed for Josephson junction

SUBMITTER: Toomey E 

PROVIDER: S-EPMC6738026 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature