Results 241 to 250 of about 95,197 (284)

Self‐Healing and Stretchable Synaptic Transistor

open access: yesAdvanced Functional Materials, EarlyView.
A self‐healing stretchable synaptic transistor (3S‐T) is realized using a p‐PVDF‐HFP‐DBP/PDMS‐MPU‐IU bilayer as gate insulator, where dipole‐dipole interaction enhances polarization to achieve a large memory window. Leveraging its neuronal biomimicry, the synaptic transistor demonstrates electrically compatibility with the biological brain. Furthermore,
Hyongsuk Choo   +10 more
wiley   +1 more source

Solution‐Processed Two‐Dimensional Indium Oxide on Sodium‐Embedded Alumina for Reconfigurable Optoelectronic Synaptic Transistors

open access: yesAdvanced Functional Materials, EarlyView.
Wafer‐scale two‐dimensioanl In2Se3 oxidized into InOx on sodium‐embedded beta‐alumina enables multifunctional reconfigurable electronics. Sodium ions accumulate within distinct spatial distribution under drain‐controlle and gate‐controlled operation. Drain‐control operation gives controllability of ultraviolet‐driven optoelectronic synaptic conductance
Jinhong Min   +13 more
wiley   +1 more source

Behavioral improvements and brain functional alterations by motor imagery training

Brain Research, 2011
Motor imagery training is considered as an effective training strategy for motor skill learning and motor function rehabilitation. However, compared with studies of the neural mechanism underlying motor imagery, neuroimaging examinations of motor imagery training are comparatively few.
Hang, Zhang   +6 more
openaire   +4 more sources

Enhanced Motor Imagery Training Using a Hybrid BCI With Feedback

IEEE Transactions on Biomedical Engineering, 2015
Motor imagery-related mu/beta rhythms, which can be voluntarily modulated by subjects, have been widely used in EEG-based brain computer interfaces (BCIs). Moreover, it has been suggested that motor imagery-specific EEG differences can be enhanced by feedback training.
Tianyou, Yu   +6 more
openaire   +4 more sources

Neurofeedback-based motor imagery training for brain–computer interface (BCI)

Journal of Neuroscience Methods, 2009
In the present study, we propose a neurofeedback-based motor imagery training system for EEG-based brain-computer interface (BCI). The proposed system can help individuals get the feel of motor imagery by presenting them with real-time brain activation maps on their cortex. Ten healthy participants took part in our experiment, half of whom were trained
Han-Jeong, Hwang   +2 more
openaire   +4 more sources

Consolidation and retention of motor skill after motor imagery training

Neuropsychologia, 2020
Complex motor tasks are learned through training which results in lasting improvement in sensorimotor performance and accuracy. Learning a motor skill is commonly attained via physical execution. However, research has shown that cognitive training, such as motor imagery (MI), effectively facilitates skill learning.
Bonassi G.   +6 more
openaire   +3 more sources

Visual Training Improves Motor Imagery Ability for Rehabilitation

2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS), 2021
Motor imagery (MI) is the most favorable brain action exploited in motor deficit rehabilitation. The hemodynamic response (HR) signal is usually weak, which can be enhanced with specific methods. In this research, the improvement in the HR was examined while the participants performed the MI task of right-hand movement.
Usman Ghafoor   +2 more
openaire   +1 more source

Motor Imagery Training Ameliorates Motor Clumsiness in Children

Journal of Child Neurology, 2002
Children with impaired motor coordination (or developmental coordination disorder) have difficulty representing internally the visuospatial coordinates of intended movements. We have proposed that this deficit reflects impairment in the generation of forward models of the efference copy of intended movements―the efference-copy-deficit hypothesis.
H. Wilson, Peter   +2 more
openaire   +2 more sources

Active training paradigm for motor imagery BCI

Experimental Brain Research, 2012
Brain-computer interface (BCI) allows the use of brain activities for people to directly communicate with the external world or to control external devices without participation of any peripheral nerves and muscles. Motor imagery is one of the most popular modes in the research field of brain-computer interface.
Junhua, Li, Liqing, Zhang
openaire   +2 more sources

Benefits of Motor Imagery Training on Muscle Strength

Journal of Strength and Conditioning Research, 2010
It is well established that motor imagery (MI) improves motor performance and motor learning efficiently. Previous studies provided evidence that muscle strength may benefit from MI training, mainly when movements are under the control of large cortical areas in the primary motor cortex.
Florent, Lebon   +2 more
openaire   +2 more sources

Home - About - Disclaimer - Privacy