Imperial College London


Faculty of EngineeringDepartment of Bioengineering

Research Associate







Royal School of MinesSouth Kensington Campus





Dr. Bruyns-Haylett’s research background is in sensory neuroscience. Michael obtained a PhD from the University of Sheffield, where he investigated the relationship between neural activity and hemodynamics in the resting state. During his first postdoc (University of Reading) he examined the separate contributions of excitation and inhibition to neural population recordings. 

Dr. Bruyns-Haylett joined the Department of Bioengineering at Imperial College London in 2016, where he works under Dr Andrei Kozlov in the Laboratory of Auditory Neuroscience and Biophysics. He is investigating the mechanisms of traumatic brain injury (TBI) in the auditory cortex, with a specific focus on how this impacts the balance between neural excitation and inhibition.

Michael's publications can be found on Google Scholar







Kang S, Hayashi Y, Bruyns-Haylett M, et al., 2020, Model-Predicted Balance Between Neural Excitation and Inhibition Was Maintained Despite of Age-Related Decline in Sensory Evoked Local Field Potential in Rat Barrel Cortex, Frontiers in Systems Neuroscience, Vol:14

Kang S, Hayashi Y, Bruyns-Haylett M, et al., 2019, Supplemental Vitamin B-12 Enhances the Neural Response to Sensory Stimulation in the Barrel Cortex of Healthy Rats but Does Not Affect Spontaneous Neural Activity, Journal of Nutrition, Vol:149, ISSN:0022-3166, Pages:730-737

Kang S, Bruyns-Haylett M, Hayashi Y, et al., 2017, Concurrent Recording of Co-localized Electroencephalography and Local Field Potential in Rodent, Jove-journal of Visualized Experiments, ISSN:1940-087X

Bruyns-Haylett M, Luo J, Kennerley AJ, et al., 2016, The neurogenesis of P1 and N1: A concurrent EEG/LFP study, Neuroimage, Vol:146, ISSN:1053-8119, Pages:575-588

Slack R, Boorman L, Patel P, et al., 2016, A novel method for classifying cortical state to identify the accompanying changes in cerebral hemodynamics., Journal of Neuroscience Methods, Vol:267, ISSN:1872-678X, Pages:21-34

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