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Grzegorz M. Wojcik
Researcher at Maria Curie-Skłodowska University
Publications - 128
Citations - 1030
Grzegorz M. Wojcik is an academic researcher from Maria Curie-Skłodowska University. The author has contributed to research in topics: Artificial neural network & Adsorption. The author has an hindex of 16, co-authored 117 publications receiving 777 citations. Previous affiliations of Grzegorz M. Wojcik include University of Economics and Innovation.
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Most Popular Signal Processing Methods in Motor-Imagery BCI: A Review and Meta-Analysis.
TL;DR: A newly developed standard for presenting results acquired during MIBCI experiments is proposed, designed to facilitate communication and comparison of essential information regarding the effects observed, based on the findings of descriptive analysis and meta-analysis.
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Limbic brain structures and burnout-A systematic review.
YeeKong Chow,Jolanta Masiak,Emilia Mikołajewska,Dariusz Mikołajewski,Grzegorz M. Wojcik,Brian E. Wallace,Andy R. Eugene,Marcin Olajossy +7 more
TL;DR: It can be concluded that chronic stress inhibits the feedback control pathway in the HPA axis, causes the decrease of brain-derived neurotrophic factor (BDNF), then impaired neurogenesis and eventually neuron atrophy.
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Investigations of the possibility of lithium acquisition from geothermal water using natural and synthetic zeolites applying poly(acrylic acid)
Małgorzata Wiśniewska,Gracja Fijałkowska,Iwona Ostolska,Wojciech Franus,Agnieszka Nosal-Wiercińska,Barbara Tomaszewska,Joanna Goscianska,Grzegorz M. Wojcik +7 more
TL;DR: In this article, the authors investigated the possibility of obtaining lithium from geothermal water using natural and synthetic zeolites applying poly(acrylic acid) and found that the amount of adsorbed lithium ions increases with the increasing pH value of the solution.
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Liquid state machine built of Hodgkin–Huxley neurons and pattern recognition
TL;DR: Neural networks built of Hodgkin–Huxley neurons were examined, intended to be similar to liquid state machines, and the analysis of output responses was performed by means of artificial neural network and by calculating informational entropy.
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Plug&play fibre-coupled 73 kHz single-photon source operating in the telecom O-band
Anna Musiał,Kinga Zolnacz,Nicole Srocka,Oleh Kravets,Jan Große,Jacek Olszewski,Krzysztof Poturaj,Grzegorz M. Wojcik,Pawel Mergo,Kamil Dybka,Mariusz Dyrkacz,Michał Dłubek,Kristian Lauritsen,Andreas Bülter,Philipp-Immanuel Schneider,Lin Zschiedrich,Sven Burger,Sven Rodt,Waclaw Urbanczyk,Grzegorz Sęk,Stephan Reitzenstein +20 more
TL;DR: In this article, a ready-to-use semiconductor quantum dot (QD)-based device that launches single photons at a wavelength of 1.3 um directly into a single-mode optical fiber is presented.