Search Results for author: Thomas Leonard

Found 2 papers, 0 papers with code

Stochastic Domain Wall-Magnetic Tunnel Junction Artificial Neurons for Noise-Resilient Spiking Neural Networks

no code implementations10 Apr 2023 Thomas Leonard, Samuel Liu, Harrison Jin, Jean Anne C. Incorvia

The spatiotemporal nature of neuronal behavior in spiking neural networks (SNNs) make SNNs promising for edge applications that require high energy efficiency.

Shape-Dependent Multi-Weight Magnetic Artificial Synapses for Neuromorphic Computing

no code implementations22 Nov 2021 Thomas Leonard, Samuel Liu, Mahshid Alamdar, Can Cui, Otitoaleke G. Akinola, Lin Xue, T. Patrick Xiao, Joseph S. Friedman, Matthew J. Marinella, Christopher H. Bennett, Jean Anne C. Incorvia

In neuromorphic computing, artificial synapses provide a multi-weight conductance state that is set based on inputs from neurons, analogous to the brain.

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