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Predicting in vitro single-neuron firing rates upon pharmacological perturbation using Graph Neural Networks
Modern Graph Neural Networks (GNNs) provide opportunities to study the determinants underlying the complex activity patterns of biological neuronal networks. In this study, we applied GNNs to a large-scale electrophysiological dataset of rodent primary neuronal networks obtained by means of high-den...
Autores principales: | Kim, Taehoon, Chen, Dexiong, Hornauer, Philipp, Emmenegger, Vishalini, Bartram, Julian, Ronchi, Silvia, Hierlemann, Andreas, Schröter, Manuel, Roqueiro, Damian |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9874697/ https://www.ncbi.nlm.nih.gov/pubmed/36713289 http://dx.doi.org/10.3389/fninf.2022.1032538 |
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