Thomas Wennekers

Dr. Thomas Wennekers

School of Engineering, Computing and Mathematics, University of Plymouth, Plymouth PL4 8AA, UK

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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28 June 2021 in Nature Reviews Neuroscience
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Journal Article
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FPFriedemann Pulvermüller
Friedemann Pulvermüller
RTRosario Tomasello
Rosario Tomasello
MHMalte R. Henningsen-Schomers
Malte R. Henningsen-Schomers
Thomas WennekersThomas Wennekers
Thomas Wennekers

1 July 2006 in Journal of Physiology-Paris
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Journal Article
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Thomas WennekersThomas Wennekers
Thomas Wennekers
MGMassimiliano Garagnani
Massimiliano Garagnani
FPFriedemann Pulvermüller
Friedemann Pulvermüller

1 September 2012 in Journal of Neuroscience Methods
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Journal Article
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SDSusan Denham
Susan Denham
ABAlexandra Bendixen
Alexandra Bendixen
RMRobert Mill
Robert Mill
DTDénes Tóth
Dénes Tóth
Thomas WennekersThomas Wennekers
Thomas Wennekers
IWIstván Winkler
István Winkler

13 February 2011 in Autonomous Agents and Multi-Agent Systems
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TRTimothy Rumbell
Timothy Rumbell
JBJohn Barnden
John Barnden
SDSusan Denham
Susan Denham
Thomas WennekersThomas Wennekers
Thomas Wennekers

17 September 2009 in Cognitive Neurodynamics
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Thomas WennekersThomas Wennekers
Thomas Wennekers
GPGünther Palm
Günther Palm

13 October 2011 in Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
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Journal Article
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Eckehard OlbrichEckehard Olbrich
Eckehard Olbrich
PAPeter Achermann
Peter Achermann
Thomas WennekersThomas Wennekers
Thomas Wennekers
‘Complexity science’ is a rapidly developing research direction with applications in a multitude of fields that study complex systems consisting of a number of nonlinear elements with interesting dynamics and mutual interactions. This Theme Issue ‘The complexity of sleep’ aims at fostering the application of complexity science to sleep research, because the brain in its different sleep stages adopts different global states that express distinct activity patterns in large and complex networks of neural circuits. This introduction discusses the contributions collected in the present Theme Issue. We highlight the potential and challenges of a complex systems approach to develop an understanding of the brain in general and the sleeping brain in particular. Basically, we focus on two topics: the complex networks approach to understand the changes in the functional connectivity of the brain during sleep, and the complex dynamics of sleep, including sleep regulation. We hope that this Theme Issue will stimulate and intensify the interdisciplinary communication to advance our understanding of the complex dynamics of the brain that underlies sleep and consciousness.