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Updated: Jul 20, 2025
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Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
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Bio-Inspired Design of Superconducting Spiking Neuron and Synapse.
Andrey E Schegolev1, Nikolay V Klenov2,3, Georgy I Gubochkin2,4
1Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119991 Moscow, Russia.
Nanomaterials (Basel, Switzerland)
|July 29, 2023
Summary
Researchers developed superconducting neuron models that mimic biological functions with high speed and low energy. These novel hardware biosimilars demonstrate dynamic control and synaptic plasticity, paving the way for advanced neuromorphic computing.
Area of Science:
- Neuroscience
- Superconducting electronics
- Computational neuroscience
Background:
- Hardware brain models face limitations in speed and energy efficiency.
- Superconducting circuits offer potential for high-speed, low-energy neuromorphic computing.
- Josephson junctions can mimic neuronal membrane dynamics.
Purpose of the Study:
- To investigate superconducting models of biological neurons.
- To identify new operational modes and demonstrate dynamic control.
- To develop and simulate bio-inspired superconducting synaptic connections.
Main Methods:
- Studied two superconducting neuron models utilizing Josephson junctions.
- Identified and analyzed novel operating modes, including bursting.
- Developed and demonstrated a superconducting synaptic connection mimicking short-term potentiation.
- Simulated a two-neuron chain using these components.
Main Results:
- Identified new operational modes in superconducting neuron models, including bursting.
- Demonstrated in situ switching between different operational modes for dynamic control.
- Developed a superconducting synapse exhibiting short-term potentiation.
- Successfully simulated a basic two-neuron network.
Conclusions:
- Superconducting circuits provide a viable platform for high-speed, low-energy hardware biosimilars.
- Dynamic control and synaptic plasticity are achievable in these superconducting models.
- Prospects for advanced superconducting neuromorphic computing are promising.
Keywords:
Josephson effectbio-inspired neuronneuromorphic systemsspiking neural networkssuperconductivitysynapse plasticityMore Related Videos
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