Memristor circuits and systems for future computing and bio-inspired information processing

Memristors can be used in mimicking synaptic plasticity of biological neuronal systems. In addition, memristor crossbars can be realized in 3-dimensional architecture like human brain. This possibility of 3-dimensional integration is crucial in implementing the full-scale electronic neuron-synapse system in future. One more thing to note here is that memristor-based neuromorphic systems can be more energy-efficient than the conventional Von Neumann ones in some applications such as bio-inspired pattern processing. This is because they are more suitable to brain-like parallel processing. Based on these advantages of memristor-based neuromorphic systems, this paper reviews the memristor logics, where the computation and memory can be merged together. Then, we introduce neuromorphic memristor crossbars which can mimic the brain's pattern recognition of speech and image. The simulation results of neuromorphic crossbars strongly highlight the future possibility of memristor circuits in brain-mimicking pattern processing. In Cellular Nanoscale Network (CNN), memristors can be used in analog multiplication that is essential to perform CNN pixel calculation with low power consumption and high-area density.