Spiking Flip-Flop Memory in Resonant Tunneling Diode Neurons

We report a spiking flip-flop memory mechanism that allows controllably switching between neural-like excitable spike-firing and quiescent dynamics in a resonant tunneling diode (RTD) neuron under low-amplitude (<150 mV pulses) and high-speed (ns rate) inputs pulses. We also show that the timing of the set-reset input pulses is critical to elicit switching responses between spiking and quiescent regimes in the system. The demonstrated flip-flop spiking memory, in which spiking regimes can be controllably excited, stored, and inhibited in RTD neurons via specific low-amplitude, high-speed signals (delivered at proper time instants) offers high promise for RTD-based spiking neural networks, with the potential to be extended further to optoelectronic implementations where RTD neurons and RTD memory elements are deployed alongside for fast and efficient photonic-electronic neuromorphic computing and artificial intelligence hardware.

Authors

Institutions

Publication Details

Journal
Physical Review Letters
Published
2024-12-24
DOI
https://doi.org/10.1103/physrevlett.133.267301
Citations
4
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.83

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spiking Flip-Flop Memory in Resonant Tunneling Diode Neurons

J. M. L. Figueiredo, Bruno Romeira, Joshua Robertson, Ekaterina Malysheva et al.
4 citations
Physical Review Letters
Advanced Memory and Neural Computing
0.83
article

Spiking Flip-Flop Memory in Resonant Tunneling Diode Neurons

J. M. L. Figueiredo, Bruno Romeira, Joshua Robertson, Ekaterina Malysheva, Antonio Hurtado, Giovanni Donati, Andrew Adair, Victor Dolores-Calzadilla, Dafydd Owen-Newns
article en
4 citations

Abstract

We report a spiking flip-flop memory mechanism that allows controllably switching between neural-like excitable spike-firing and quiescent dynamics in a resonant tunneling diode (RTD) neuron under low-amplitude (<150 mV pulses) and high-speed (ns rate) inputs pulses. We also show that the timing of the set-reset input pulses is critical to elicit switching responses between spiking and quiescent regimes in the system. The demonstrated flip-flop spiking memory, in which spiking regimes can be controllably excited, stored, and inhibited in RTD neurons via specific low-amplitude, high-speed signals (delivered at proper time instants) offers high promise for RTD-based spiking neural networks, with the potential to be extended further to optoelectronic implementations where RTD neurons and RTD memory elements are deployed alongside for fast and efficient photonic-electronic neuromorphic computing and artificial intelligence hardware.

Physical Review LettersVol. 133(26)
University of Lisbon (PT), University of Strathclyde (GB), International Iberian Nanotechnology Laboratory (PT), Eindhoven University of Technology (NL)
UK Research and Innovation, Engineering and Physical Sciences Research Council, Fundação para a Ciência e a Tecnologia
Openalex Percentile: Top 26%
Advanced Memory and Neural Computing
0.83
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Spiking Flip-Flop Memory in Resonant Tunneling Diode Neurons — J. M. L. Figueiredo, Bruno Romeira, et al. · Physical Review Letters (2024) | TGRS Research Map | TGRS