Imperial College London


Faculty of EngineeringDepartment of Bioengineering




marie.tolkiehn Website




RSM 428Royal School of MinesSouth Kensington Campus





Having started Biomedical Engineering (BSc) at the University of Applied Sciences Hamburg, I spent the final 10 months of my first degree as a UROP student with the Hamlyn Centre for Robotic Surgery (Imperial College London) in the pervasive sensing/Body Sensor Networks group.  

Following this, I completed my Master's degree in Bioengineering (MSc, Neurotechnology stream) at Imperial College London, and did my Master's project with the Faisal lab, investigating human body kinematics under real-life conditions. 

Then, I completed my PhD in experimental and computational neuroscience in the neural coding research group, Imperial College London. Under the supervision of Simon Schultz, under co-supervision with Claudia Clopath, and in collaboration with Fritz Sommer (UC Berkeley), we investigated visual processing in the mammalian brain using computational models. My particular focus is the mechanistic basis of sensory processing. 

After my PhD I joined Dr. Paul Chadderton as a Senior Research Associate and we investigate neural information processing in the mammalian cerebellum. 

Research Groups:

Dr. Paul Chadderton from the Neural Circuits in Behaviour Lab (2018-)

Dr. Claudia Clopath from the Computational Neuroscience Laboratory  (2016 - 2018)

Dr. Simon Schultz from the Neural Coding Laboratory (Schultzlab) (2013 - 2018)

Dr. Fritz Sommer from the Redwood Centre for Theoretical Neuroscience at the University of California at Berkeley (2012 - present)

Dr. Aldo Faisal from the Brain & Behavioural Lab  (2011-2012)

Prof. Guang-Zhong Yang from the Hamlyn Centre for Robotic Surgery (2010-2011)

Selected Publications


Tolkiehn M, Schultz, 2015, Multi-Unit Activity contains information about spatial stimulus structure in mouse primary visual cortex, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE, Pages:3771-3774, ISSN:1557-170X

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