Michele Fiscella
Michele Fiscella
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High-resolution CMOS MEA platform to study neurons at subcellular, cellular, and network levels
J Müller, M Ballini, P Livi, Y Chen, M Radivojevic, A Shadmani, V Viswam, ...
Lab on a Chip 15 (13), 2767-2780, 2015
Tracking axonal action potential propagation on a high-density microelectrode array across hundreds of sites
DJ Bakkum, U Frey, M Radivojevic, TL Russell, J Müller, M Fiscella, ...
Nature Communications 4, 2181, 2013
A 1024-channel CMOS microelectrode array with 26,400 electrodes for recording and stimulation of electrogenic cells in vitro
M Ballini, J Müller, P Livi, Y Chen, U Frey, A Stettler, A Shadmani, ...
IEEE Journal of Solid-State Circuits 49 (11), 2705-2719, 2014
The potential of microelectrode arrays and microelectronics for biomedical research and diagnostics
IL Jones, P Livi, MK Lewandowska, M Fiscella, B Roscic, A Hierlemann
Analytical and Bioanalytical Chemistry 399 (7), 2313-2329, 2011
Congenital nystagmus gene FRMD7 is necessary for establishing a neuronal circuit asymmetry for direction selectivity
K Yonehara, M Fiscella, A Drinnenberg, F Esposti, S Trenholm, J Krol, ...
Neuron 89 (1), 177-193, 2016
Structures of neural correlation and how they favor coding
F Franke, M Fiscella, M Sevelev, B Roska, A Hierlemann, RA da Silveira
Neuron 89 (2), 409-422, 2016
Causal evidence for retina-dependent and-independent visual motion computations in mouse cortex
D Hillier, M Fiscella, A Drinnenberg, S Trenholm, SB Rompani, Z Raics, ...
Nature Neuroscience 20 (7), 960, 2017
A network comprising short and long noncoding RNAs and RNA helicase controls mouse retina architecture
J Krol, I Krol, CPP Alvarez, M Fiscella, A Hierlemann, B Roska, ...
Nature Communications 6, 7305, 2015
Applicability of independent component analysis on high-density microelectrode array recordings
D Jäckel, U Frey, M Fiscella, F Franke, A Hierlemann
Journal of Neurophysiology, 2012
Versatile live-cell activity analysis platform for characterization of neuronal dynamics at single-cell and network level
X Yuan, M Schröter, MEJ Obien, M Fiscella, W Gong, T Kikuchi, ...
Nature communications 11 (1), 4854, 2020
Single-cell electrical stimulation using CMOS-based high-density microelectrode arrays
S Ronchi, M Fiscella, C Marchetti, V Viswam, J Müller, U Frey, ...
Frontiers in neuroscience 13, 208, 2019
Recording from defined populations of retinal ganglion cells using a high-density CMOS-integrated microelectrode array with real-time switchable electrode selection
M Fiscella, K Farrow, IL Jones, D Jäckel, J Müller, U Frey, DJ Bakkum, ...
Journal of Neuroscience Methods 211 (1), 103-113, 2012
Electrophysiological Phenotype Characterization of Human iPSC‐Derived Neuronal Cell Lines by Means of High‐Density Microelectrode Arrays
S Ronchi, AP Buccino, G Prack, SS Kumar, M Schröter, M Fiscella, ...
Advanced Biology, 2000223, 2021
Automatic Spike Sorting Algorithm for High-Density Microelectrode Arrays
R Diggelmann, M Fiscella, A Hierlemann, F Franke
Journal of Neurophysiology, 2018
Visual coding with a population of direction-selective neurons
M Fiscella, F Franke, K Farrow, J Müller, B Roska, RA da Silveira, ...
Journal of Neurophysiology, 2015
Homophilic wiring principles underpin neuronal network topology in vitro
D Akarca, AWE Dunn, PJ Hornauer, S Ronchi, M Fiscella, C Wang, ...
BioRxiv, 2022.03. 09.483605, 2022
A method for electrophysiological characterization of hamster retinal ganglion cells using a high-density CMOS microelectrode array
IL Jones, TL Russell, K Farrow, M Fiscella, F Franke, J Müller, D Jäckel, ...
Frontiers in Neuroscience 9, 360, 2015
Long-term, high-spatiotemporal resolution recording from cultured organotypic slices with high-density microelectrode arrays
W Gong, J Sencar, D Jäckel, J Müller, M Fiscella, M Radivojevic, ...
2015 Transducers-2015 18th International Conference on Solid-State Sensors …, 2015
DeePhys: A machine learning–assisted platform for electrophysiological phenotyping of human neuronal networks
P Hornauer, G Prack, N Anastasi, S Ronchi, T Kim, C Donner, M Fiscella, ...
Stem Cell Reports 19 (2), 285-298, 2024
Downregulating α-synuclein in iPSC-derived dopaminergic neurons mimics electrophysiological phenotype of the A53T mutation
P Hornauer, G Prack, N Anastasi, S Ronchi, T Kim, C Donner, M Fiscella, ...
bioRxiv, 2022.03. 31.486582, 2022
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