@article{PoghossianYoshinobuSimonisetal.2001,
  author    = {Poghossian, Arshak and Yoshinobu, Tatsuo and Simonis, A. and Ecken, H. and L{\"u}th, Hans and Sch{\"o}ning, Michael Josef},
  title     = {Penicillin detection by means of field-effect based sensors: EnFET, capacitive EIS sensor or LAPS?},
  series = {Sensors and Actuators B. 78 (2001), H. 1-3},
  journal   = {Sensors and Actuators B. 78 (2001), H. 1-3},
  isbn      = {0925-4005},
  pages     = {237 -- 242},
  year      = {2001},
  language  = {en}
}
@article{PoghossianSchoening2007,
  author    = {Poghossian, Arshak and Sch{\"o}ning, Michael Josef},
  title     = {Chemical and biological field-effect sensors for liquids - a status report},
  series = {Handbook of biosensors and biochips / ed. Robert S. Marks ... Bd. 1},
  journal   = {Handbook of biosensors and biochips / ed. Robert S. Marks ... Bd. 1},
  publisher = {Wiley},
  address   = {Chichester},
  isbn      = {978-0-470-01905-4},
  pages     = {395 -- 412},
  year      = {2007},
  language  = {en}
}
@article{StaatHeitzer1999,
  author    = {Staat, Manfred and Heitzer, M.},
  title     = {FEM-computation of load carrying capacity of highly loaded passive components by direct methods. Heitzer, M. ; Staat, M.},
  series = {Nuclear Engineering and Design. 193 (1999), H. 3},
  journal   = {Nuclear Engineering and Design. 193 (1999), H. 3},
  isbn      = {0029-5493},
  pages     = {349 -- 358},
  year      = {1999},
  language  = {en}
}
@article{PoghossianWeilCherstvyetal.2013,
  author    = {Poghossian, Arshak and Weil, M. and Cherstvy, A. G. and Sch{\"o}ning, Michael Josef},
  title     = {Electrical monitoring of polyelectrolyte multilayer formation by means of capacitive field-effect devices},
  series = {Analytical and bioanalytical chemistry},
  volume    = {405},
  journal   = {Analytical and bioanalytical chemistry},
  number    = {20},
  publisher = {Springer},
  address   = {Berlin},
  issn      = {1432-1130 ; 1618-2642},
  doi       = {10.1007/s00216-013-6951-9},
  pages     = {6425 -- 6436},
  year      = {2013},
  abstract  = {The semiconductor field-effect platform represents a powerful tool for detecting the adsorption and binding of charged macromolecules with direct electrical readout. In this work, a capacitive electrolyte-insulator-semiconductor (EIS) field-effect sensor consisting of an Al-p-Si-SiO2 structure has been applied for real-time in situ electrical monitoring of the layer-by-layer formation of polyelectrolyte (PE) multilayers (PEM). The PEMs were deposited directly onto the SiO2 surface without any precursor layer or drying procedures. Anionic poly(sodium 4-styrene sulfonate) and cationic weak polyelectrolyte poly(allylamine hydrochloride) have been chosen as a model system. The effect of the ionic strength of the solution, polyelectrolyte concentration, number and polarity of the PE layers on the characteristics of the PEM-modified EIS sensors have been studied by means of capacitance-voltage and constant-capacitance methods. In addition, the thickness, surface morphology, roughness and wettabilityof the PE mono- and multilayers have been characterised by ellipsometry, atomic force microscopy and water contact-angle methods, respectively. To explain potential oscillations on the gate surface and signal behaviour of the capacitive field-effect EIS sensor modified with a PEM, a simplified electrostatic model that takes into account the reduced electrostatic screening of PE charges by mobile ions within the PEM has been proposed and discussed.},
  language  = {en}
}
@article{SchoeningPoghossian2002,
  author    = {Sch{\"o}ning, Michael Josef and Poghossian, Arshak},
  title     = {Recent advances in biologically sensitive field-effect transistors (BioFETs)},
  series = {Analyst. 127 (2002)},
  journal   = {Analyst. 127 (2002)},
  isbn      = {0003-2654},
  pages     = {1137 -- 1151},
  year      = {2002},
  language  = {en}
}
@article{Staat1991,
  author    = {Staat, Manfred},
  title     = {Versagenswahrscheinlichkeit der Prim{\"a}rkreisdruckumschließung eines HTR-Moduls zur Prozeßw{\"a}rmegewinnung unter St{\"o}rfallbedingungen},
  series = {Jahrestagung Kerntechnik '91 / Kerntechnische Gesellschaft e.V. ; Deutsches Atomforum e.V},
  journal   = {Jahrestagung Kerntechnik '91 / Kerntechnische Gesellschaft e.V. ; Deutsches Atomforum e.V},
  publisher = {INFORUM},
  address   = {Bonn},
  pages     = {123 -- 126},
  year      = {1991},
  language  = {de}
}
@article{Laack2005,
  author    = {Laack, Walter van},
  title     = {Ohne Geist l{\"a}uft wenig! Teil 2: Zur Unfreiheit verdammt? Eine etwas andere Sicht der Libet-Experimente},
  series = {Die Drei : Zeitschrift f{\"u}r Anthroposophie in Wissenschaft, Kunst und sozialem Leben. 75 (2005), H. 3},
  journal   = {Die Drei : Zeitschrift f{\"u}r Anthroposophie in Wissenschaft, Kunst und sozialem Leben. 75 (2005), H. 3},
  isbn      = {0012-6063},
  pages     = {25 -- 35},
  year      = {2005},
  language  = {de}
}
@article{Laack2005,
  author    = {Laack, Walter van},
  title     = {Ohne Geist l{\"a}uft wenig! Teil 1: Kann aus Neuronen Bewusstsein entstehen?},
  series = {Die Drei : Zeitschrift f{\"u}r Anthroposophie in Wissenschaft, Kunst und sozialem Leben. 75 (2005), H. 2},
  journal   = {Die Drei : Zeitschrift f{\"u}r Anthroposophie in Wissenschaft, Kunst und sozialem Leben. 75 (2005), H. 2},
  isbn      = {0012-6063},
  pages     = {31 -- 38},
  year      = {2005},
  language  = {de}
}
@article{Laack2005,
  author    = {Laack, Walter van},
  title     = {Elektro- und Ultraschalltherapie},
  series = {Station{\"a}re Naturheilkunde : Handbuch f{\"u}r Klinik und Rehabilitation / Andr{\´e}-Michael Beer. [Autoren: Peter Altmeyer ...]},
  journal   = {Station{\"a}re Naturheilkunde : Handbuch f{\"u}r Klinik und Rehabilitation / Andr{\´e}-Michael Beer. [Autoren: Peter Altmeyer ...]},
  publisher = {Elsevier, Urban und Fischer},
  address   = {M{\"u}nchen},
  isbn      = {3-437-56890-6},
  pages     = {162 -- 171},
  year      = {2005},
  language  = {de}
}
@article{SchwabedalSippelBrandtetal.2018,
  author    = {Schwabedal, Justus T. C. and Sippel, Daniel and Brandt, Moritz D. and Bialonski, Stephan},
  title     = {Automated Classification of Sleep Stages and EEG Artifacts in Mice with Deep Learning},
  doi       = {10.48550/arXiv.1809.08443},
  year      = {2018},
  abstract  = {Sleep scoring is a necessary and time-consuming task in sleep studies. In animal models (such as mice) or in humans, automating this tedious process promises to facilitate long-term studies and to promote sleep biology as a data-driven f ield. We introduce a deep neural network model that is able to predict different states of consciousness (Wake, Non-REM, REM) in mice from EEG and EMG recordings with excellent scoring results for out-of-sample data. Predictions are made on epochs of 4 seconds length, and epochs are classified as artifactfree or not. The model architecture draws on recent advances in deep learning and in convolutional neural networks research. In contrast to previous approaches towards automated sleep scoring, our model does not rely on manually defined features of the data but learns predictive features automatically. We expect deep learning models like ours to become widely applied in different fields, automating many repetitive cognitive tasks that were previously difficult to tackle.},
  language  = {en}
}