Recent advances in neuromorphic computing have established a computational framework
that removes the processor-memory bottleneck evident in traditional von Neumann …

Guided by brain-like 'spiking'computational frameworks, neuromorphic computing—brain-
inspired computing for machine intelligence—promises to realize artificial intelligence while …

Neuromorphic engineering (NE) is an emerging research field that has been attempting to
identify neural types of computational principles, by implementing biophysically realistic …

Neurons in the brain behave as nonlinear oscillators, which develop rhythmic activity and
interact to process information. Taking inspiration from this behaviour to realize high-density …

Hyperparameters and learning algorithms for neuromorphic hardware are usually chosen by
hand to suit a particular task. In contrast, networks of neurons in the brain were optimized …

Neuromorphic architectures are hardware systems that aim to use the principles of neural
function for their basis of operation. Their goal is to harness biologically inspired concepts …