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

Author:

Maheshwari Sachin1ORCID,Serb Alexander1ORCID,Papavassiliou Christos2ORCID,Prodromakis Themistoklis1ORCID

Affiliation:

1. Centre for Electronics Frontiers, School of Engineering, The University of Edinburgh, Edinburgh, U.K.

2. Department of Electrical and Electronic Engineering, Imperial College London, London, U.K.

Funder

Engineering and Physical Sciences Research Council (EPSRC) Programme Grant Functional Oxides for Reconfigurable Technologies

Royal Academy of Engineering (RAEng) Chair in Emerging Technologies

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Hardware and Architecture

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1. Oxygen Gas Modulable Artificial Optoelectronic Synapse Based on Srtio3 Surface;2024

2. Adiabatic Spiking Neurons and Synapses for Ultra-Low Energy Neuromorphic Computing;2023 30th IEEE International Conference on Electronics, Circuits and Systems (ICECS);2023-12-04

3. The influence of interface contact condition on resistive switching of Au/Nb:SrTiO3 heterojunctions;Applied Physics Letters;2023-10-09

4. A Memristor-based Tuneable Offset Comparator;2023 21st IEEE Interregional NEWCAS Conference (NEWCAS);2023-06-26

5. Reconfigurable Hardware Implementation of CNN Architecture using Zerobypass Multiplier;2023 International Conference on Computer Communication and Informatics (ICCCI);2023-01-23

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