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Predicting in vitro single-neuron firing rates upon pharmacological perturbation using Graph Neural Networks.
Kim, Taehoon; Chen, Dexiong; Hornauer, Philipp; Emmenegger, Vishalini; Bartram, Julian; Ronchi, Silvia; Hierlemann, Andreas; Schröter, Manuel; Roqueiro, Damian.
Affiliation
  • Kim T; Bioengineering Laboratory, Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
  • Chen D; Machine Learning and Computational Biology Laboratory, Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
  • Hornauer P; Machine Learning and Computational Biology Laboratory, Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
  • Emmenegger V; Bioengineering Laboratory, Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
  • Bartram J; Bioengineering Laboratory, Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
  • Ronchi S; Bioengineering Laboratory, Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
  • Hierlemann A; Bioengineering Laboratory, Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
  • Schröter M; Bioengineering Laboratory, Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
  • Roqueiro D; Bioengineering Laboratory, Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Front Neuroinform ; 16: 1032538, 2022.
Article in En | MEDLINE | ID: mdl-36713289

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Front Neuroinform Year: 2022 Document type: Article Affiliation country: Suiza Country of publication: Suiza

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Front Neuroinform Year: 2022 Document type: Article Affiliation country: Suiza Country of publication: Suiza