Yazar "Kocatürk, Mehmet" için Fen Bilimleri Enstitüsü listeleme
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Design of a multichannel electrophysiology amplifier and a rat behavioral paradigm for motor neuroprosthetic control
Zaidi, Syed Muhammad Talha (İstanbul Medipol Üniversitesi Fen Bilimleri Enstitüsü, 2020)The development in brain-machine interfaces (BMIs) not only provided efficient solutions for the control of neuroprosthetic devices, aiming to recover motor functions lost to disease or injury, but also allows the researchers ... -
Design of a voltammetry system for in vivo measurement of dopamine concentration
Riaz, Raheel (İstanbul Medipol Üniversitesi Fen Bilimleri Enstitüsü, 2018)Dopamine has a critical role in motor control, motor learning, reinforcement learning, cognition, attention and motivation. Consequently, the physiology of the dopaminergic system is an important and highly active research ... -
Evaluation of dopamine signaling in the rat ventromedial striatum for varying reward proximity
Haziq, Muhammad (İstanbul Medipol Üniversitesi Fen Bilimleri Enstitüsü, 2020)Dopaminergic neurons play an important role in reward-mediated learning and motor control. In this work, we studied the transient changes in dopamine concentration in the ventromedial striatum (VMS) or nucleus accumbens ... -
Neural network-based adaptive myoelectric signal classification via utilization of entropy history
Nazlıhan Işık, Kübra (İstanbul Medipol Üniversitesi Fen Bilimleri Enstitüsü, 2017)The surface electromyography (sEMG) signals emanating from the remnant forearm muscles of transradial amputees are eligible for controlling robotic prostheses to replace the functions of the lost hand. sEMG pattern recognition ... -
A new rodent behavioral paradigm for studying closed-loop cursor control
Ayyaz, Ahsan (İstanbul Medipol Üniversitesi, Fen Bilimleri Enstitüsü, 2022)Control of cursor on a PC monitor using a joystick is a standard paradigm to study the neural mechanisms involved in motor skill learning in human and non-human primates. This paradigm is also commonly used in non-human ...