Imperial College London

DrMichaelBruyns-Haylett

Faculty of EngineeringDepartment of Bioengineering

Research Associate
 
 
 
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Contact

 

m.bruyns-haylett

 
 
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Location

 

Royal School of MinesSouth Kensington Campus

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Summary

 

Summary

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

 

 

 

 

Publications

Journals

Bruyns-Haylett M, Luo J, Kennerley AJ, et al., 2017, The neurogenesis of P1 and N1: A concurrent EEG/LFP study, Neuroimage, Vol:146, ISSN:1053-8119, Pages:575-588

Dickinson A, Bruyns-Haylett M, Smith R, et al., 2016, Superior Orientation Discrimination and Increased Peak Gamma Frequency in Autism Spectrum Conditions, Journal of Abnormal Psychology, Vol:125, ISSN:0021-843X, Pages:412-422

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:0165-0270, Pages:21-34

Boorman L, Harris S, Bruyns-Haylett M, et al., 2015, Long-Latency Reductions in Gamma Power Predict Hemodynamic Changes That Underlie the Negative BOLD Signal, Journal of Neuroscience, Vol:35, ISSN:0270-6474, Pages:4641-4656

Dickinson A, Bruyns-Haylett M, Jones M, et al., 2015, Increased peak gamma frequency in individuals with higher levels of autistic traits, European Journal of Neuroscience, Vol:41, ISSN:0953-816X, Pages:1095-1101

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