Author

Fiscella Michele

ETH Zurich

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Neuroscience· 4

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Assay:electronic health records· 4 Organism:human· 3 Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1

Frequent Co-Authors

Andreas R. HierlemanniD· 4 shared Manuel S. SchröteriD· 4 shared Silvia RonchiiD· 3 shared Gustavo Prack· 2 shared Philipp HornaueriD· 2 shared Ravi JagasiaiD· 2 shared Alessio Paolo BuccinoiD· 1 shared Alexander WE DunniD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 32 mutual co-author links

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4 shared papersNeuroscience

Andreas R. HierlemannORCID

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4 papers

Recent·Most cited

Homophilic wiring principles underpin neuronal network topology in vitro

Danyal Akarca, Alexander WE Dunn, Philipp Hornauer, Silvia Ronchi, Fiscella Michele, Congwei Wang, Marco Terrigno, Ravi Jagasia, Petra E. Vértes, Susanna B. Mierau, Ole Paulsen, Stephen J. Eglen, Andreas R. Hierlemann, Duncan Edward Astle, Manuel S. Schröter

This study identifies homophilic wiring as a principle governing neuronal network topology in vitro, outperforming traditional models in explaining connectivity patterns.

eLife · Jul 8, 2025Peer-reviewedNeuroscience

Downregulating α-synuclein in iPSC-derived dopaminergic neurons mimics electrophysiological phenotype of the A53T mutation

Philipp Hornauer, Gustavo Prack, Nadia Anastasi, Silvia Ronchi, Taehoon Kim, Christian Donner, Fiscella Michele, Karsten Michael Borgwardt, Verdon Taylor, Ravi Jagasia, Damian Roqueiro, Andreas R. Hierlemann, Manuel S. Schröter

The paper introduces DeePhys, a tool for functional phenotyping of neurons using electrophysiological data, and shows it can predict genotype and age in iPSC-derived DA neurons with the A53T SNCA mutation.

bioRxiv · Mar 31, 2022 · PreprintNeuroscience

Electrophysiological Phenotype Characterization of Human iPSC-Derived Neuronal Cell Lines by Means of High-Density Microelectrode Arrays

Silvia Ronchi, Alessio Paolo Buccino, Gustavo Prack, Sreedhar Saseendran Kumar, Manuel S. Schröter, Fiscella Michele, Andreas R. Hierlemann

This study uses HD-MEAs to characterize electrophysiological phenotypes of iPSC-derived neurons and assess drug effects in Parkinson's and ALS models.

Advanced Biology · Jan 14, 2021Peer-reviewedNeuroscience

Versatile live-cell activity analysis platform for characterization of neuronal dynamics at single-cell and network level

Xinyue Yuan, Manuel S. Schröter, Marie Engelene J. Obien, Fiscella Michele, Wei Gong, Tetsuhiro Kikuchi, Aoi Odawara, Shuhei Noji, Ikuro Suzuki, Jun B. Takahashi, Andreas R. Hierlemann, Urs Frey

The paper introduces a platform for label-free electrophysiological live-cell imaging of neuronal networks, demonstrating its capabilities with long-term recordings and analysis tools.

Nature Communications · Sep 25, 2020Peer-reviewedNeuroscience