首页> Journal of neuroscience methods> Brain-computer interfaces inspired spiking neural network model for depression stage identification.

Brain-computer interfaces inspired spiking neural network model for depression stage identification.

导出 LinkOut

翻译打印收藏纠错

第一作者： M Angelin,Ponrani

第一单位： Department of ECE, St. Joseph's College of Engineering, Chennai -119, India. Electronic address: angelinponrani.m@gmail.com.

作者： M Angelin,Ponrani ^[1] ; Monika,Anand ^[2] ; Mahmood,Alsaadi ^[3] ; Ashit Kumar,Dutta ^[4] ; Roma,Fayaz ^[5] ; Sojomon,Mathew ^[6] ; Mousmi Ajay,Chaurasia ^[7] ; Sunila ^[8] ; Manisha,Bhende ^[9]

作者单位： Department of ECE, St. Joseph's College of Engineering, Chennai -119, India. Electronic address: angelinponrani.m@gmail.com. ^[1] Computer Science & Engineering, Chandigarh University, Mohali, India. ^[2] Department of computer science, Al-Maarif University College, Al Anbar 31001, Iraq. ^[3] Department of Computer Science and Information Systems, College of Applied Sciences, AlMaarefa University, Ad Diriyah, Riyadh 13713, Saudi Arabia. ^[4] Dapartmemt of computer science, college of computer science and information technology, Jazan university, Jazan, Saudi Arabia. ^[5] Government College Kottayam, Kerala 686013, India. ^[6] Dept of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Hyderabad, India. ^[7] Guru Jambheshwar University of Science and Technology, Hisar, Haryana, India. ^[8] Dr. D. Y. Patil Vidyapeeth, Pune, Dr. D. Y. Patil School of Science & Technology, Tathawade, Pune, India. ^[9]

关键词 Brain-Computer Interface Deep Learning Depression EEG Signals Next Generation Neuro-Technologies Pulse Neural Network

医学主题词人类(Humans);脑电描记术(Electroencephalography);抑郁(Depression);脑(Brain);模型, 神经学(Models, Neurological);成年人(Adult);动作电位(Action Potentials)

DOI 10.1016/j.jneumeth.2024.110203

PMID 38880343

发布时间 2025-06-09

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交