An Adiabatic Capacitive Artificial Neuron With RRAM-Based Threshold Detection for Energy-Efficient Neuromorphic Computing

• Published in: IEEE transactions on circuits and systems. I, Regular papers Vol. 69; no. 9; pp. 3512 - 3525
• Main Authors: Maheshwari, Sachin, Serb, Alexander, Papavassiliou, Christos, Prodromakis, Themistoklis
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.09.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adiabatic; Adiabatic flow; Artificial neural networks; Capacitance; Capacitors; Comparators; Energy conservation; Energy consumption; energy-efficient; Memory devices; memristor; MOS devices; Neural networks; Neuromorphic computing; Power management; Random access memory; RLC circuits; RRAM; Switches; Synapses; Transistors

In the quest for low power, bio-inspired computation both memristive and memcapacitive-based Artificial Neural Networks (ANN) have been the subjects of increasing focus for hardware implementation of neuromorphic computing. One step further, regenerative capacitive neural networks, which call for th...