An Optimized Morris-Lecar Neuron Model Using Wave Digital Principles

Neuromorphic circuits are seen as a potential candidate to mimic the behavior of biological networks. Hardware realizations of specific components, like memristive devices, in such networks, are hard to find for the desired functionality. We propose an emulation technique that enables parameter optimization on a digital model, which can be utilized as a guideline to support hardware realizations and reduce development efforts. The method is based on digitally replicating the Morris-Lecar neuron model via the wave digital concept. It should be emphasized that our approach is applicable to single devices, subparts of the circuit or the complete circuit. Although we focus on small-scale neuromorphic circuits in this work, our procedure is also suitable to emulate large-scale applications in a reasonable amount of time.