ArticleNanomaterials (Basel, Switzerland)2023
Bio-Inspired Design of Superconducting Spiking Neuron and Synapse.
Article in Nanomaterials (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 25 citations in OpenAlex.
- Basic Cells for Reconfigurable Superconducting Kinemonics.Nanomaterials (Basel, Switzerland) · 2026Article
- Ferroelectric-Based Optoelectronic Synapses for Visual Perception: From Materials to Systems.Nanomaterials (Basel, Switzerland) · 2025Review
- Programmable soliton dynamics in all-Josephson-junction logic cells and networks.Beilstein journal of nanotechnology · 2025Article
- Transfer function of an asymmetric superconducting Gauss neuron.Beilstein journal of nanotechnology · 2025Article
- A self-training spiking superconducting neuromorphic architecture.Npj unconventional computing · 2025Article
- Optimisation Challenge for a Superconducting Adiabatic Neural Network That Implements XOR and OR Boolean Functions.Nanomaterials (Basel, Switzerland) · 2024Article
- Magnetic Flux Sensor Based on Spiking Neurons with Josephson Junctions.Sensors (Basel, Switzerland) · 2024Article
- A bifunctional superconducting cell as flux qubit and neuron.Beilstein journal of nanotechnology · 2023Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
The imitative modelling of processes in the brain of living beings is an ambitious task. However, advances in the complexity of existing hardware brain models are limited by their low speed and high energy consumption. A superconducting circuit with Josephson junctions closely mimics the neuronal membrane with channels involved in the operation of the sodium-potassium pump. The dynamic processes in such a system are characterised by a duration of picoseconds and an energy level of attojoules. In this work, two superconducting models of a biological neuron are studied. New modes of their operation are identified, including the so-called bursting mode, which plays an important role in biological neural networks. The possibility of switching between different modes in situ is shown, providing the possibility of dynamic control of the system. A synaptic connection that mimics the short-term potentiation of a biological synapse is developed and demonstrated. Finally, the simplest two-neuron chain comprising the proposed bio-inspired components is simulated, and the prospects of superconducting hardware biosimilars are briefly discussed.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.