Multistable neuromorphic computing: controlling attractor switches using waveforms

An important question in designing multistable neuromorphic computing devices is how best to switch between attractors. We demonstrate that waveform-based stimuli are more energy-efficient than single pulses and can target all attractors, allowing for the possibility of developing non-von Neumann neuromorphic circuit architectures that incorporate both digital and analog components.