A behavioral paradigm for cortical control of a robotic actuator by freely moving rats in a one-dimensional two-target reaching task

dc.authorid0000-0001-9535-2102
dc.authorid0000-0003-1744-5252
dc.contributor.authorZaidi, Syed Muhammad Talha
dc.contributor.authorKocatürk, Samet
dc.contributor.authorBaykaş, Tunçer
dc.contributor.authorKocatürk, Mehmet
dc.date.accessioned2022-03-25T10:22:18Z
dc.date.available2022-03-25T10:22:18Z
dc.date.issued2022
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Biyomedikal Mühendisliği Bölümü
dc.departmentİstanbul Medipol Üniversitesi, Rektörlük, Sağlık Bilim ve Teknolojileri Araştırma Enstitüsü
dc.description.abstractBackground: 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 a novel, fine-tuned behavioral paradigm and setup which enables this task for rats in one-dimensional space for reaching two distant targets depending on their limited cognitive and visual capabilities compared to those of primates. An online transform was used to convert the activity of a pair of primary motor cortex (M1) units into two robotic actions. The rats were shaped to adapt to the transform and direct the robotic actuator toward the selected target by modulating the activity of the M1 neurons. Results: All three rats involved in the study were capable of achieving randomly selected targets with at least 78% accuracy. A total of 9 out of 16 pairs of units examined were eligible for exceeding this success criterion. Two out of three rats were capable of reversal learning, where the mapping between the activity of the M1 units and the robotic actions were reversed. Comparison with existing methods: The present work is the first demonstration of trajectory-based control of a neuroprosthetic device by rodents to reach two distant targets using visual feedback. Conclusion: The behavioral paradigm and setup introduced here can be used as a cost-effective platform for elucidating the information processing principles in the neural circuits related to neuroprosthetic control and for studying the performance of novel BMI technologies using freely moving rats.
dc.identifier.citationZaidi, S.M. T., Kocatürk, S., Baykaş, T. ve 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. https://doi.org/10.1016/j.jneumeth.2022.109555
dc.identifier.doi10.1016/j.jneumeth.2022.109555
dc.identifier.issn0165-0270
dc.identifier.issn1872-678X
dc.identifier.pmid35271875
dc.identifier.scopus2-s2.0-85126373268
dc.identifier.scopusqualityQ3
dc.identifier.urihttps://doi.org/10.1016/j.jneumeth.2022.109555
dc.identifier.urihttps://hdl.handle.net/20.500.12511/9168
dc.identifier.volume373
dc.identifier.wos000791224400001en_US
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.institutionauthorZaidi, Syed Muhammad Talha
dc.institutionauthorKocatürk, Samet
dc.institutionauthorBaykaş, Tunçer
dc.institutionauthorKocatürk, Mehmet
dc.language.isoen
dc.publisherElsevier B.V.
dc.relation.ispartofJournal of Neuroscience Methodsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectBrain-Machine Interface
dc.subjectMotor Cortex
dc.subjectNeuroprosthetics
dc.titleA behavioral paradigm for cortical control of a robotic actuator by freely moving rats in a one-dimensional two-target reaching task
dc.typeArticle

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
Zaidi-Syed-2022.pdf
Boyut:
2.99 MB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin / Full Text
Lisans paketi
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
license.txt
Boyut:
1.44 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama: