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...

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Detalles Bibliográficos
Autores principales: Kim, Taehoon, Chen, Dexiong, Hornauer, Philipp, Emmenegger, Vishalini, Bartram, Julian, Ronchi, Silvia, Hierlemann, Andreas, Schröter, Manuel, Roqueiro, Damian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
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

Internet

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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