Michael Müller


Postdoctoral Researcher

Biomedical Engineer, PhD

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• Master degree in Biomedical Engineering, University of Bern, Bern, CH

• PhD in Biomedical Engineering, University of Bern, Bern, CH


Research interests

• Neuroscience

• Epilepsy

• Sleep & Consciousness


• Quantitative methods, machine learning



• Quantitative EEG in epilepsy – any better than spike counting?


Selected publications

Müller M, Rossetti A, Zimmermann R, Alvarez V, Rüegg S, Haenggi M, Graggen W, Schindler K, Zubler F. Standardized visual EEG features predict outcome in patients with acute consciousness impairment of various etiologies. Crit Care. In press.

Müller M, Caporro M, Gast H, Pollo C, Wiest R, Schindler K, Rummel C. Linear and nonlinear interrelations show fundamentally distinct network structure in preictal intracranial EEG of epilepsy patients. Hum Brain Mapp. 2020 Feb 1;41(2):467-483. doi: 10.1002/hbm.24816.

Müller M, Schindler K, Goodfellow M, Pollo C, Rummel C, Steimer A. Evaluating resective surgery targets in epilepsy patients: A comparison of quantitative EEG methods. J Neurosci Methods. 2018 Jul 15;305:54-66. doi: 10.1016/j.jneumeth.2018.04.021.

Steimer A, Müller M, Schindler K. Predictive modeling of EEG time series for evaluating surgery targets in epilepsy patients. Hum Brain Mapp. 2017 May;38(5):2509-2531. doi: 10.1002/hbm.23537.


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