Assist. Prof. Mehmet Kocatürk
[email protected]Mehmet Kocatürk received a B.S. degree in electronics and communication engineering from Istanbul Technical University in 2004 and his M.S. and Ph.D. degrees in biomedical engineering from Bogazici University in 2007 and 2015, respectively. In addition to his academic activities, he worked in MobiArts Co. as an embedded system design engineer and Nortel Networks Netas Co. as a software design engineer between 2005 and 2008. He is currently an assistant professor in the Department of Biomedical Engineering in Istanbul Medipol University and affiliated with Research Institute for Health Sciences and Technologies (SABITA) at the same university. His research interests focus on the physiology of the motor system and motor neuroprosthetics.
Selected Publications
Decoding the spike-band subthreshold motor cortical activity
Okatan, M., Kocaturk, M. 2023. Decoding the spike-band subthreshold motor cortical activity. Journal of Motor Behavior. DOI: 10.1080/00222895.2023.2280263.
A behavioral paradigm for cortical control of a robotic actuator by freely moving rats in a one-dimensional two-target reaching task
Zaidi, S.M.T., Kocatürk, S., Baykaş, T., Kocatürk, M. 2022. A behavioral paradigm for cortical control of a robotic actuator by freely moving rats in a one-dimensional two-target reaching task. Journal of Neuroscience Methods, 373:109555. DOI: 10.1016/j.jneumeth.2022.109555.
Truncation thresholds: a pair of spike detection thresholds computed using truncated probability distributions
Okatan, M., Kocaturk, M. 2017. Truncation thresholds: a pair of spike detection thresholds computed using truncated probability distributions. Turkish Journal of Electrical Engineering Computer Sciences, 25: 1436-1447. DOI: 10.3906/elk-1603-33.
Toward building hybrid biological/in silico neural networks for motor neuroprosthetic control
Kocaturk, M., Gulcur, H.O., Canbeyli, R. 2015. Toward building hybrid biological/in silico neural networks for motor neuroprosthetic control. Frontiers in Neurorobotics, 9:8. DOI: 10.3389/fnbot.2015.00008.