Abstract: An electronic neuron device that includes a thresholding unit which utilizes current-induced spin-orbit torque (SOT). A two-step switching scheme is implemented with the device. In the first step, a charge current through heavy metal (HM) places the magnetization of a nano-magnet along the hard-axis (i.e. an unstable point for the magnet). In the second step, the device receives a current (from an electronic synapse) which moves the magnetization from the unstable point to one of the two stable states. The polarity of the net synaptic current determines the final orientation of the magnetization. A resistive crossbar array may also be provided which functions as the synapse generating a bipolar current that is a weighted sum of the inputs of the device.

Abstract: In one embodiment, a processor is to store a membrane potential of a neural unit of a neural network; and calculate, at a particular time-step of the neural network, a change to the membrane potential of the neural unit occurring over multiple time-steps that have elapsed since the last time-step at which the membrane potential was updated, wherein each of the multiple time-steps that have elapsed since the last time-step is associated with at least one input to the neural unit that affects the membrane potential of the neural unit.

Abstract: An electronic synapse is disclosed, comprising a heavy metal layer having a high spin orbit coupling, a domain wall magnet layer having a bottom surface adjacent to a top surface of the heavy metal layer, the domain wall magnet layer having a perpendicular magnetic anisotropy, the domain wall magnet layer having a domain wall, the domain wall running parallel to a longitudinal axis of the domain wall magnet layer, a pinned layer having perpendicular magnetic anisotropy, and an oxide tunnel barrier connected between the domain wall magnet layer and the pinned layer, wherein the pinned layer, the oxide tunnel barrier, and the free layer form a magnetic tunnel junction.

Abstract: In one embodiment, a processor is to store a membrane potential of a neural unit of a neural network; and calculate, at a particular time-step of the neural network, a change to the membrane potential of the neural unit occurring over multiple time-steps that have elapsed since the last time-step at which the membrane potential was updated, wherein each of the multiple time-steps that have elapsed since the last time-step is associated with at least one input to the neural unit that affects the membrane potential of the neural unit.

Abstract: An electronic neuron device that includes a thresholding unit which utilizes current-induced spin-orbit torque (SOT). A two-step switching scheme is implemented with the device. In the first step, a charge current through heavy metal (HM) places the magnetization of a nano-magnet along the hard-axis (i.e. an unstable point for the magnet). In the second step, the device receives a current (from an electronic synapse) which moves the magnetization from the unstable point to one of the two stable states. The polarity of the net synaptic current determines the final orientation of the magnetization. A resistive crossbar array may also be provided which functions as the synapse generating a bipolar current that is a weighted sum of the inputs of the device.

Abstract: An electronic synapse is disclosed, comprising a heavy metal layer having a high spin orbit coupling, a domain wall magnet layer having a bottom surface adjacent to a top surface of the heavy metal layer, the domain wall magnet layer having a perpendicular magnetic anisotropy, the domain wall magnet layer having a domain wall, the domain wall running parallel to a longitudinal axis of the domain wall magnet layer, a pinned layer having perpendicular magnetic anisotropy, and an oxide tunnel barrier connected between the domain wall magnet layer and the pinned layer, wherein the pinned layer, the oxide tunnel barrier, and the free layer form a magnetic tunnel junction.