Publications

Purely Spintronic Leaky Integrate-and-Fire Neurons

Brigner, Wesley H.; Hassan, Naimul; Hu, Xuan; Bennett, Christopher H.; Garcia-Sanchez, Felipe; Marinella, Matthew J.; Incorvia, Jean A.; Friedman, Joseph S.

Neuromorphic computing promises revolutionary improvements over conventional systems for applications that process unstructured information. To fully realize this potential, neuromorphic systems should exploit the biomimetic behavior of emerging nanodevices. In particular, exceptional opportunities are provided by the non-volatility and analog capabilities of spintronic devices. While spintronic devices that emulate neurons have been previously proposed, they require complementary metal-oxide semiconductor (CMOS) technology to function. In turn, this significantly increases the power consumption, fabrication complexity, and device area of a single neuron. This work reviews three previously proposed CMOS-free spintronic neurons designed to resolve this issue.