Results 21 to 30 of about 73,959 (252)

A Moving Target Detection Model Inspired by Spatio-Temporal Information Accumulation of Avian Tectal Neurons

Mathematics, 2023
Moving target detection in cluttered backgrounds is always considered a challenging problem for artificial visual systems, but it is an innate instinct of many animal species, especially the avian.
Shuman Huang, Xiaoke Niu, Zhizhong Wang, Gang Liu, Li Shi   +4 more
doaj   +1 more source

MINERVA: A CubeSat for demonstrating DNA damage mitigation against space radiation in C. elegans by using genetic modification

Heliyon, 2022
The ideas of deep-space human exploration, interplanetary travel, and space civilizations are becoming a reality. However, numerous hindrances remain standing in the way of accomplishing these feats, one of which is space ionizing radiation.
Sumeth Klomchitcharoen, Tanchanok Tangwattanasirikun, Sean Gallup, Noparin Smerwong, Peetimon Arunwiriyakit, Pisitchai Tachavises, Jin Tangkijngamwong, Pichamon Phatthanaanukun, Benjamard Jirapanyalerd, Siripak Chattanupakorn, Visarut Rungpongvanich, Norawit Nangsue, Krai Meemon, Patompon Wongtrakoonkate, Suradej Hongeng, Yodchanan Wongsawat   +15 more
doaj   +1 more source

Improving AR-SSVEP Recognition Accuracy Under High Ambient Brightness Through Iterative Learning

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023
Augmented reality-based brain-computer interface (AR-BCI) system is one of the important ways to promote BCI technology outside of the laboratory due to its portability and mobility, but its performance in real-world scenarios has not been fully studied.
Rui Zhang, Lijun Cao, Zongxin Xu, Yangsong Zhang, Lipeng Zhang, Yuxia Hu, Mingming Chen, Dezhong Yao   +7 more
doaj   +1 more source

CONTROL OF BIPEDAL LOCOMOTION WITH A NEURAL OSCILLATOR-BASED BRAIN–COMPUTER INTERFACE

Journal of Information and Communication Technology, 2016
This study proposes a neural oscillator-based brain–computer interface (BCI) that controls a bipedal neuromusculoskeletal (NMS) model by inputting electroencephalogram (EEG) signals. In this BCI system, while the bipedal NMS system realizes bipedal locomotion through internal entrainment among neural oscillators and a musculoskeletal system, the ...
Ikeda, Ryo, Horie, Ryota
openaire   +3 more sources

Effects of neurofeedback training with an electroencephalogram-based Brain–Computer Interface for hand paralysis in patients with chronic stroke: A preliminary case series study

Journal of Rehabilitation Medicine, 2011
To explore the effectiveness of neurorehabilitative training using an electroencephalogram-based brain- computer interface for hand paralysis following stroke.A case series study.Eight outpatients with chronic stroke demonstrating moderate to severe hemiparesis.Based on analysis of volitionally decreased amplitudes of sensory motor rhythm during motor ...
Keiichiro, Shindo, Kimiko, Kawashima, Junichi, Ushiba, Naoki, Ota, Mari, Ito, Tetsuo, Ota, Akio, Kimura, Meigen, Liu   +7 more
openaire   +3 more sources

Elevated Gamma Connectivity in Nidopallium Caudolaterale of Pigeons during Spatial Path Adjustment

Animals, 2022
Previous studies showed that spatial navigation depends on a local network including multiple brain regions with strong interactions. However, it is still not fully understood whether and how the neural patterns in avian nidopallium caudolaterale (NCL ...
Mengmeng Li, Jiantao Fan, Lubo Lin, Zhigang Shang, Hong Wan   +4 more
doaj   +1 more source

Long and Short Durations of Binaural Beats Differently Affect Relaxation: A Study of HRV and BRUMS

IEEE Access, 2023
Objective: We aimed to identify parasympathetic and emotional alterations, as indicated by the heart rate variability (HRV) and Brunel mood scale (BRUMS), after long-term exposure to theta binaural beats (BB) for 10 minutes daily.
Mondnath Chockboondee, Tirapoot Jatupornpoonsub, Krisna Lertsukprasert, Yodchanan Wongsawat   +3 more
doaj   +1 more source

An EEG-based attention recognition method: fusion of time domain, frequency domain, and non-linear dynamics features

Frontiers in Neuroscience, 2023
IntroductionAttention is a complex cognitive function of human brain that plays a vital role in our daily lives. Electroencephalogram (EEG) is used to measure and analyze attention due to its high temporal resolution.
Di Chen, Di Chen, Haiyun Huang, Haiyun Huang, Xiaoyu Bao, Xiaoyu Bao, Jiahui Pan, Jiahui Pan, Yuanqing Li, Yuanqing Li   +9 more
doaj   +1 more source

The Influence of Different EEG References on Scalp EEG Functional Network Analysis During Hand Movement Tasks

Frontiers in Human Neuroscience, 2020
Although scalp EEG functional networks have been applied to the study of motor tasks using electroencephalography (EEG), the selection of a suitable reference electrode has not been sufficiently researched.
Lipeng Zhang, Lipeng Zhang, Peng Wang, Peng Wang, Rui Zhang, Rui Zhang, Mingming Chen, Mingming Chen, Li Shi, Li Shi, Jinfeng Gao, Jinfeng Gao, Yuxia Hu, Yuxia Hu   +13 more
doaj   +1 more source

Real-time EEG-based brain-computer interface to a virtual avatar enhances cortical involvement in human treadmill walking

Scientific Reports, 2017
Recent advances in non-invasive brain-computer interface (BCI) technologies have shown the feasibility of neural decoding for both users’ gait intent and continuous kinematics. However, the dynamics of cortical involvement in human upright walking with a
Trieu Phat Luu, Sho Nakagome, Yongtian He, Jose L. Contreras-Vidal   +3 more
doaj   +1 more source