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Supervised Learning in Temporally-Coded Spiking Neural Networks with Approximate Backpropagation
In this work we propose a new supervised learning method for temporally-encoded multilayer spiking networks to perform classification.
Nonvolatile Spintronic Memory Cells for Neural Networks
A new spintronic nonvolatile memory cell analogous to 1T DRAM with non-destructive read is proposed.
Convolutional Neural Networks Utilizing Multifunctional Spin-Hall MTJ Neurons
We propose a new network architecture for standard spin-Hall magnetic tunnel junction-based spintronic neurons that allows them to compute multiple critical convolutional neural network functionalities simultaneously and in parallel, saving space and time.
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