DETECTION AND CONTROL OF EPILEPTIFORM REGIME IN THE HODGKIN–HUXLEY ARTIFICIAL NEURAL NETWORKS VIA QUANTUM ALGORITHMS
The problem of detection and the following suppression of epileptiform dynamics in artificial neural networks (ANN) still is a hot topic in modern theoretical and applied neuroscience. For the purpose of such modeling, the Hodgkin–Huxley (HH) elements are important due to the variety of their behavi...
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| Format: | Article |
| Language: | English |
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Institute for Problems in Mechanical Engineering, Russian Academy of Sciences
2022
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| Online Access: | View Fulltext in Publisher |