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Martin Schürmann

Researcher at University of Nottingham

Publications -  77
Citations -  7741

Martin Schürmann is an academic researcher from University of Nottingham. The author has contributed to research in topics: Electroencephalography & Auditory cortex. The author has an hindex of 41, co-authored 77 publications receiving 7265 citations. Previous affiliations of Martin Schürmann include Helsinki University of Technology & Aalto University.

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Gamma, alpha, delta, and theta oscillations govern cognitive processes

TL;DR: It is argued that selectively distributed delta, theta, alpha and gamma oscillatory systems act as resonant communication networks through large populations of neurons and might play a major role in functional communication in the brain in relation to memory and integrative functions.
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Wavelet entropy: a new tool for analysis of short duration brain electrical signals.

TL;DR: The major objective of the present work was to characterize in a quantitative way functional dynamics of order/disorder microstates in short duration EEG signals with specific quantifiers derived to characterize how stimulus affects electrical events in terms of frequency synchronization (tuning) in the event related potentials.
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P300-response: possible psychophysiological correlates in delta and theta frequency channels. A review.

TL;DR: A working hypothesis is derived assuming that delta responses are mainly involved in signal matching, decision making and surprise, whereas theta responses are more related to focused attention and signal detection.
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The Compassionate Brain: Humans Detect Intensity of Pain from Another's Face

TL;DR: Using functional magnetic resonance imaging, it is shown that not only the presence of pain but also the intensity of the observed pain is encoded in the observer's brain-as occurs during the observer’s own pain experience.
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Brain oscillations in perception and memory

TL;DR: This review argues that selectively distributed delta, theta, alpha, and gamma oscillatory systems act as resonant communication networks through large populations of neurons and might play a major role in relation with memory and integrative functions.