Spin wave based synapse and neuron for ultra low power neuromorphic computation system

In this work, we have proposed that the neural synapses and neurons can be realized by utilizing spin waves (SWs) as information carrier. The SWs is excited by spin torque nano-oscillator (STNO), and detected with several different physical mechanisms: 1) tunneling magnetic-resistance 2) spin pumping and 3) inverse spin hall effect. The proposed SWs based synapses and neurons can be further combined together to form a neuromorphic computation system with crossbar structure. Possible ultra low power consumption and ultra high speed are the advantage of our proposed SWs based synapses and neurons.

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