Recent Progress in Neuromorphic Computing from Memristive Devices to Neuromorphic Chips
Yike Xiao, Cheng Gao, Jun‐Cheng Jin, Weiling Sun, Bowen Wang, Yukun Bao, Chen Liu, Wei Huang, Hui Ran Zeng, Yefeng Yu
Abstract
Neuromorphic computing, drawing inspiration from the brain, stands out for its high energy efficiency in executing complex tasks. Memristive device-based neuromorphic computing has demonstrated ultrahigh efficiency. While there are numerous review papers in this field, the majority concentrate on the device level, bypassing the connections among the performance metrics of memristive devices and those of neuromorphic chips. In this review, we investigate the recent progress in neuromorphic computing from the fundamental memristive devices to the intricate neuromorphic chips, highlighting their links and challenges.
Topics & Concepts
Neuromorphic engineeringComputer scienceComputer architectureMemristorArtificial intelligenceArtificial neural networkElectronic engineeringEngineeringAdvanced Memory and Neural ComputingNeural Networks and Reservoir ComputingPhotoreceptor and optogenetics research