Year: 2019
Type: preprint
Abstract: Due to many limitations of Von Neumann architecture such as speed, memory bandwidth, efficiency of global interconnects and increase in the application of artificial neural network, researchers have been pushed to look into alternative architectures such as Neuromorphic computing system. Memristors (memristive crossbar memory RCM) are used as synapses due to its high packing density and energy efficiency and CMOS blocks as neurons. The increase in the terminal resistance of the RCM can degrade its energy efficiency and bandwidth. A more energy efficient current mode neuron has been proposed in this paper which can operate at lower voltages as compared to conventional voltage mode neuron circuit.
Source: arXiv (Cornell University)
Authors: Roy, Harshit, Sharad, Mrigank
Institution: Indian Institute of Technology Kharagpur
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2946726301