Emerging Devices for Biologically Accurate Neuron

A new trend in brain-like computing is to develop more biologically realistic neuron models in order to accurately replicate the computational power of the biological counterparts. The brain-like computing platforms based on these models that resemble the organization of neurons in the brain would serve as a more efficient tool than traditional hardware. Recently, with the rapid development of neuromorphic devices, the realization of biologically accurate neurons to fit these models becomes feasible. In view of this, we propose the concept of the hardware biologically accurate neuron by reviewing the progress on achieving the essential neuronal information processing functions based on the emerging neuromorphic devices. Despite its infancy, the biologically accurate neuron already has exhibited an unprecedented potential to boost the hardware implementation of brain-like computation as well as leading a trend on neurorobotics and prosthetics. Challenges and perspectives are also addressed to shed light on future advances with respect to practical applications and translational implementations.