Browsing by Author "Kocatürk, Mehmet"
Now showing items 1-16 of 16
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A behavioral paradigm for cortical control of a robotic actuator by freely moving rats in a one-dimensional two-target reaching task
Zaidi, Syed Muhammad Talha; Kocatürk, Samet; Baykaş, Tunçer; Kocatürk, Mehmet (Elsevier B.V., 2022)Background: Controlling the trajectory of a neuroprosthesis to reach distant targets is a commonly used brain-machine interface (BMI) task in primates and has not been available for rodents yet. New method: Here, we describe ... -
Davranışla ilgili bilgilerin hücre dişi sinirsel kayıtlarda arka plan etkinliğinden yüksek başarımlı çıkarımı
Okatan, Murat; Kocatürk, Mehmet (Institute of Electrical and Electronics Engineers Inc., 2018)Hücre dışı sinirsel kayıtlardan bilgi çıkarımlamakta yaygın olarak kullanılan yaklaşım bir genlik eşiği belirlenmesi veeşik üstü verilerde bulunan bilginin çıkarımlanmasıdır. Eşik altıveriler ise uzaktaki sinir hücrelerinin ... -
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 ... -
Hücre dışı kayıtlarda aksiyon potansiyellerinin “kırpma eşikleri” kullanılarak belirlenmesi
Okatan, Murat; Kocatürk, Mehmet (Institute of Electrical and Electronics Engineers, 2015)Tekil sinir hücrelerinin ürettiği aksiyon potansiyeli dizileri, beyne kalıcı olarak yerleştirilen hücre dışı elektrotlarla deneklerden davranış sırasında kaydedilebilmektedir. Bu aksiyon potansiyeli dizilerinde bulunan ... -
Hücre dışı sinirsel kayıtlarda farklı genlik eşiklerinin karşılaştırılması
Dağdevir, Eda; Kocatürk, Mehmet; Okatan, Murat (The Institute of Electrical and Electronics Engineers (IEEE), 2019)Hücre dışı sinirsel kayıtlardan bilgi çıkarımında genlik eşikleri kullanılmaktadır. Genlik eşiği davranış değişkenlerinin sinirsel etkinlikte en yüksek işaret-gürültü oranıyla kodlanmasını sağlayacak şekilde kestirilebildiği ... -
Hücre dışı sinirsel kayıtlarda olabilirliǧe dayalı genlik eşikleme
Dağdevir, Eda; Kocatürk, Mehmet; Okatan, Murat (Institute of Electrical and Electronics Engineers Inc., 2019)Hücre dışı sinirsel kayıtlarda genlik eşiğinin optimizasyonu son zamanlarda beyin-makine arayüzü literatüründe etkin bir araştırma konusu haline gelmiştir. Önceki bir çalışmada, davranış değişkenlerinin sinirsel etkinlikte ... -
“Kırpma Eşikleri”nin aksiyon potansiyeli sıklığına bağımlılığı
Okatan, Murat; Kocatürk, Mehmet (IEEE, 2015)Hücre dışı sinirsel etkinlik kayıtlarında bulunan ve tekil sinir hücreleri tarafından ateşlenen aksiyon potansiyellerinin belirlenmesi için çoğu zaman bir gerilim eşiği kullanılmaktadır. Eşik, genellikle tüm etkinlik ... -
Learned vs. hand-crafted features for deep learning based aperiodic laboratory earthquake time-prediction
Zaidi, Talha; Samy, Asmaa; Kocatürk, Mehmet; Ateş, Hasan Fehmi (Institute of Electrical and Electronics Engineers Inc., 2020)Earthquakes cause the deadliest and most costly disasters among all natural hazards. Geophysicists and data scientists have spent a lot of effort, trying to predict earthquakes time, location or magnitude to minimize these ... -
A microcontroller-based wireless multichannel neural data transmission system
Mukati, Muhammad Rizwan; Kocatürk, Samet; Kocatürk, Mehmet; Baykaş, Tunçer (Institute of Electrical and Electronics Engineers, 2017)Chronically implantable microelectrode arrays enable multichannel electrophysiological recordings from the mammalian brains during behavioral experiments. Wireless data transmission systems combined with the microelectrode ... -
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 python code for maximum likelihood estimation of the location and scale parameters of the truncated normal distribution
Ögütcen, Melih Yılmaz; Kocatürk, Mehmet; Okatan, Murat (Institute of Electrical and Electronics Engineers Inc., 2021)Extracellular neural recordings obtained from chronically implanted microelectrode arrays are widely used in behavioral neurophysiology and invasive brain-machine interfaces. After the raw recordings are band-pass filtered ... -
Toward building hybrid biological/in silico neural networks for motor neuroprosthetic control
Kocatürk, Mehmet; Gülcür, Halil Özcan; Canbeyli, Reşit (Frontiers Research Foundation, 2015)In this article, we introduce the Bioinspired Neuroprosthetic Design Environment (BNDE) as a practical platform for the development of novel brain-machine interface (BMI) controllers, which are based on spiking model ... -
Truncation thresholds: A pair of spike detection thresholds computed using truncated probability distributions
Okatan, Murat; Kocatürk, Mehmet (TUBITAK Scientific & Technical Research Council, 2017)We describe a method for computing a pair of spike detection thresholds, called 'truncation thresholds', using truncated probability distributions, for extracellular recordings. In existing methods the threshold is usually ... -
Using Johnson's SU distribution for modeling the background activity in extracellular neural recordings
Ögütcen, Melih Yılmaz; Kocatürk, Mehmet; Okatan, Murat (Institute of Electrical and Electronics Engineers Inc., 2021)Extracellular neural recordings obtained from awake behaving subjects through chronically implanted microelectrode arrays provide information about the functioning of the brain with sub-millisecond temporal resolution at ...
