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Prof. Ole Jensen

Publication Statistics

Centre for Human Brain Health
School of Psychology
University of Birmingham



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Short CV

Ole Jensen received his MSc degree in Electrical Engineering in 1993 from the Technical University of Denmark. Later, he pursued his doctoral research at Brandeis University in the United States under the supervision of Professor John E. Lisman. In 1998, he obtained his PhD degree in Neuroscience, specializing in computational modelling of oscillatory networks. The modelling approach was used to explain electrophysiological and behavioural findings on memory in rats and humans. He then worked as a postdoctoral fellow and used magnetoencephalography (MEG) to explore brain dynamics and human cognition at the Brain Research Unit, Low Temperature Laboratory, Helsinki University of Technology. During this time, he primarily worked with Dr Claudia Tesche and Professor Riitta Hari. In 2002, he began working as the head of the MEG laboratory at the Donders Institute for Brain, Cognition and Behavior and was promoted to principal investigator in 2003. In 2013, he was appointed as a professor at the Faculty of Science, Radboud University Nijmegen. Later, in 2016, he started a new position as a professor in translational neuroscience at the University of Birmingham and became founding co-director of the newly established Centre for Human Brain Health (CHBH). In late 2016, he received the Royal Society Wolfson Research Merit Award and, in 2018, The Joseph Chamberlain Award for Academic Advancement at the University of Birmingham. Currently, his work mainly focuses on linking oscillatory brain activity to cognition. He explores how oscillatory brain activity shapes the functional architecture of the working brain in the context of memory and attention. His latest focus is on applying insight on brain oscillations, attention and working memory to uncover the neuronal mechanisms supporting natural reading and visual exploration in children and adults. To this end he is developing a paediatric OPM-MEG system to improve the future of human brain imaging. 

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