  Neuromorphic computing (NC) architecture has shown its suitability for
energy-efficient computation. Amongst several systems, spin-orbit torque (SOT)
based domain wall (DW) devices are one of the most energy-efficient contenders
for NC. To realize spin-based NC architecture, the computing elements such as
synthetic neurons and synapses need to be developed. However, there are very
few experimental investigations on DW neurons and synapses. The present study
demonstrates the energy-efficient operations of neurons and synapses by using
novel reading and writing strategies. We have used a W/CoFeB-based
energy-efficient SOT mechanism to drive the DWs at low current densities. We
have used the concept of meander devices for achieving synaptic functions. By
doing this, we have achieved 9 different resistive states in experiments. We
have experimentally demonstrated the functional spike and step neurons.
Additionally, we have engineered the anomalous Hall bars by incorporating
several pairs, in comparison to conventional Hall crosses, to increase the
sensitivity as well as signal-to-noise ratio (SNR). We performed micromagnetic
simulations and transport measurements to demonstrate the above-mentioned
functionalities.
