174 citations · 398 across the 12 of their papers we have counts for
12 papers
Fan-out and Fan-in properties of superconducting neuromorphic circuits
M. L. Schneider, K. Segall
Neuromorphic computing has the potential to further the success of software-based artificial neural networks (ANNs) by designing hardware from a different perspective. Current rese…
A superconducting nanowire spiking element for neural networks
Emily Toomey, Ken Segall, Matteo Castellani +3
As the limits of traditional von Neumann computing come into view, the brain's ability to communicate vast quantities of information using low-power spikes has become an increasing…
Synchronization dynamics on the picosecond timescale in coupled Josephson junction neurons
Ken Segall, Matthew LeGro, Steven Kaplan +4
Conventional digital computation is rapidly approaching physical limits for speed and energy dissipation. Here we fabricate and test a simple neuromorphic circuit that models neuro…
Breather decay into a vortex/anti-vortex pair in a Josephson Ladder
K. Segall, P. Williams, O. Svitelskiy +4
We present experimental evidence for a new behavior which involves discrete breathers and vortices in a Josephson Ladder. Breathers can be visualized as the creation and subsequent…
Numerical simulation of thermal noise in Josephson circuits
Kenneth Segall, Dan Schult, Ushnish Ray +1
We present a method to numerically add thermal noise to the equations of motion for a circuit of Josephson junctions. A new noise term, which we call "linearly interpolated Gaussia…
Josephson junction simulation of neurons
Patrick Crotty, Daniel Schult, Ken Segall
With the goal of understanding the intricate behavior and dynamics of collections of neurons, we present superconducting circuits containing Josephson junctions that model biologic…