Neural coding using telegraphic switching of magnetic tunnel junction
Journal Article
·
· Journal of Applied Physics
- Department of Electronic Engineering, Hanyang University, Seoul 133-791 (Korea, Republic of)
In this work, we present a synaptic transmission representing neural coding with spike trains by using a magnetic tunnel junction (MTJ). Telegraphic switching generates an artificial neural signal with both the applied magnetic field and the spin-transfer torque that act as conflicting inputs for modulating the number of spikes in spike trains. The spiking probability is observed to be weighted with modulation between 27.6% and 99.8% by varying the amplitude of the voltage input or the external magnetic field. With a combination of the reverse coding scheme and the synaptic characteristic of MTJ, an artificial function for the synaptic transmission is achieved.
- OSTI ID:
- 22410099
- Journal Information:
- Journal of Applied Physics, Vol. 117, Issue 17; Other Information: (c) 2015 AIP Publishing LLC; Country of input: International Atomic Energy Agency (IAEA); ISSN 0021-8979
- Country of Publication:
- United States
- Language:
- English
Similar Records
A domain wall-magnetic tunnel junction artificial synapse with notched geometry for accurate and efficient training of deep neural networks
Implementation of a Binary Neural Network on a Passive Array of Magnetic Tunnel Junctions
Three-terminal magnetic tunnel junction synapse circuits showing spike-timing-dependent plasticity
Journal Article
·
Mon May 17 00:00:00 EDT 2021
· Applied Physics Letters
·
OSTI ID:22410099
+3 more
Implementation of a Binary Neural Network on a Passive Array of Magnetic Tunnel Junctions
Journal Article
·
Mon Jul 18 00:00:00 EDT 2022
· Physical Review Applied
·
OSTI ID:22410099
+9 more
Three-terminal magnetic tunnel junction synapse circuits showing spike-timing-dependent plasticity
Journal Article
·
Mon Sep 23 00:00:00 EDT 2019
· Journal of Physics. D, Applied Physics
·
OSTI ID:22410099
+3 more