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Living-Neuron-Based Autogenerator
We present a novel closed-loop system designed to integrate biological and artificial neurons of the oscillatory type into a unified circuit. The system comprises an electronic circuit based on the FitzHugh-Nagumo model, which provides stimulation to living neurons in acute hippocampal mouse brain s...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10458024/ https://www.ncbi.nlm.nih.gov/pubmed/37631552 http://dx.doi.org/10.3390/s23167016 |
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author | Gerasimova, Svetlana A. Beltyukova, Anna Fedulina, Anastasia Matveeva, Maria Lebedeva, Albina V. Pisarchik, Alexander N. |
author_facet | Gerasimova, Svetlana A. Beltyukova, Anna Fedulina, Anastasia Matveeva, Maria Lebedeva, Albina V. Pisarchik, Alexander N. |
author_sort | Gerasimova, Svetlana A. |
collection | PubMed |
description | We present a novel closed-loop system designed to integrate biological and artificial neurons of the oscillatory type into a unified circuit. The system comprises an electronic circuit based on the FitzHugh-Nagumo model, which provides stimulation to living neurons in acute hippocampal mouse brain slices. The local field potentials generated by the living neurons trigger a transition in the FitzHugh–Nagumo circuit from an excitable state to an oscillatory mode, and in turn, the spikes produced by the electronic circuit synchronize with the living-neuron spikes. The key advantage of this hybrid electrobiological autogenerator lies in its capability to control biological neuron signals, which holds significant promise for diverse neuromorphic applications. |
format | Online Article Text |
id | pubmed-10458024 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-104580242023-08-27 Living-Neuron-Based Autogenerator Gerasimova, Svetlana A. Beltyukova, Anna Fedulina, Anastasia Matveeva, Maria Lebedeva, Albina V. Pisarchik, Alexander N. Sensors (Basel) Article We present a novel closed-loop system designed to integrate biological and artificial neurons of the oscillatory type into a unified circuit. The system comprises an electronic circuit based on the FitzHugh-Nagumo model, which provides stimulation to living neurons in acute hippocampal mouse brain slices. The local field potentials generated by the living neurons trigger a transition in the FitzHugh–Nagumo circuit from an excitable state to an oscillatory mode, and in turn, the spikes produced by the electronic circuit synchronize with the living-neuron spikes. The key advantage of this hybrid electrobiological autogenerator lies in its capability to control biological neuron signals, which holds significant promise for diverse neuromorphic applications. MDPI 2023-08-08 /pmc/articles/PMC10458024/ /pubmed/37631552 http://dx.doi.org/10.3390/s23167016 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Gerasimova, Svetlana A. Beltyukova, Anna Fedulina, Anastasia Matveeva, Maria Lebedeva, Albina V. Pisarchik, Alexander N. Living-Neuron-Based Autogenerator |
title | Living-Neuron-Based Autogenerator |
title_full | Living-Neuron-Based Autogenerator |
title_fullStr | Living-Neuron-Based Autogenerator |
title_full_unstemmed | Living-Neuron-Based Autogenerator |
title_short | Living-Neuron-Based Autogenerator |
title_sort | living-neuron-based autogenerator |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10458024/ https://www.ncbi.nlm.nih.gov/pubmed/37631552 http://dx.doi.org/10.3390/s23167016 |
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