📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

An Adiabatic Capacitive Artificial Neuron With RRAM-Based Threshold Detection for Energy-Efficient Neuromorphic Computing (2022)

First Author: Maheshwari S

Attributed to: Functional Oxide Reconfigurable Technologies (FORTE): A Programme Grant funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1109/tcsi.2022.3182577

Publication URI: http://dx.doi.org/10.1109/tcsi.2022.3182577

Type: Journal Article/Review

Parent Publication: IEEE Transactions on Circuits and Systems I: Regular Papers

Issue: 9