首页|Swiss Federal Institute of Technology Zurich (ETH) Reports Findings in Machine Learning (DeePhys: A machine learning-assisted platform for electrophysiological phenotyping of human neuronal networks)
Swiss Federal Institute of Technology Zurich (ETH) Reports Findings in Machine Learning (DeePhys: A machine learning-assisted platform for electrophysiological phenotyping of human neuronal networks)
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New research on Machine Learning is the subject of a report. According to news originating from Basel, Switzerland, by NewsRx correspondents, research stated, “Reproducible functional assays to study in vitro neuronal networks represent an important cornerstone in the quest to develop physiologically relevant cellular models of human diseases. Here, we introduce DeePhys, a MATLAB-based analysis tool for data-driven functional phenotyping of in vitro neuronal cultures recorded by high-density microelectrode arrays.” Our news journalists obtained a quote from the research from the Swiss Federal Institute of Technology Zurich (ETH), “DeePhys is a modular workflow that offers a range of techniques to extract features from spike-sorted data, allowing for the examination of functional phenotypes both at the individual cell and network levels, as well as across development. In addition, DeePhys incorporates the capability to integrate novel features and to use machine-learning-assisted approaches, which facilitates a comprehensive evaluation of pharmacological interventions.”
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