956 citations · 3k across the 26 of their papers we have counts for
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Supervised Learning in Temporally-Coded Spiking Neural Networks with Approximate Backpropagation
Andrew Stephan, Brian Gardner, Steven J. Koester +1
In this work we propose a new supervised learning method for temporally-encoded multilayer spiking networks to perform classification. The method employs a reinforcement signal tha…
Spin-Hall MTJ Cells for Intra-Column Competition in Hierarchical Temporal Memory
Andrew W. Stephan, Steven J. Koester
We propose a dedicated winner-take-all circuit to efficiently implement the intra-column competition between cells in Hierarchical Temporal Memory which is a crucial part of the al…
SHE-MTJ Circuits for Convolutional Neural Networks
Andrew W. Stephan, Steven J. Koester
We report the performance characteristics of a notional Convolutional Neural Network based on the previously-proposed Multiply-Accumulate-Activate-Pool set, an MTJ-based spintronic…
Layer-dependence of dielectric response and water-enhanced ambient degradation of highly-anisotropic black As
Hwanhui Yun, Supriya Ghosh, Prafful Golani +2
Black arsenic (BAs) is a van der Waals layered material with a puckered honeycomb structure and has received increased interest due to its anisotropic properties and promising perf…