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Predicting Spike Features of Hodgkin-Huxley-Type Neurons With Simple Artificial Neural Network
Hodgkin-Huxley (HH)-type model is the most famous computational model for simulating neural activity. It shows the highest accuracy in capturing neuronal spikes, and its model parameters have definite physiological meanings. However, HH-type models are computationally expensive. To address this prob...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8859780/ https://www.ncbi.nlm.nih.gov/pubmed/35197835 http://dx.doi.org/10.3389/fncom.2021.800875 |