AIMC Topic: Sensorimotor Cortex
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A brain-based account of "basic-level" concepts.
NeuroImage
Aug 19, 2017
This study provides a brain-based account of how object concepts at an intermediate (basic) level of specificity are represented, offering an enriched view of what it means for a concept to be a basic-level concept, a research topic pioneered by Rosc...
A novel deep learning approach for classification of EEG motor imagery signals.
Journal of neural engineering
Nov 30, 2016
OBJECTIVE: Signal classification is an important issue in brain computer interface (BCI) systems. Deep learning approaches have been used successfully in many recent studies to learn features and classify different types of data. However, the number ...
The body of knowledge: On the role of the living body in grounding embodied cognition.
Bio Systems
Aug 16, 2016
Embodied cognition is a hot topic in both cognitive science and AI, despite the fact that there still is relatively little consensus regarding what exactly constitutes 'embodiment'. While most embodied AI and cognitive robotics research views the bod...
EEG decoding with spatiotemporal convolutional neural network for visualization and closed-loop control of sensorimotor activities: A simultaneous EEG-fMRI study.
Human brain mapping
Jun 15, 2024
Closed-loop neurofeedback training utilizes neural signals such as scalp electroencephalograms (EEG) to manipulate specific neural activities and the associated behavioral performance. A spatiotemporal filter for high-density whole-head scalp EEG usi...
Comparative effects of passive and active mode robot-assisted gait training on brain and muscular activities in sub-acute and chronic stroke.
NeuroRehabilitation
Jan 1, 2022
BACKGROUND: Robot-assisted gait training (RAGT) was initially developed based on the passive controlled (PC) mode, where the target or ideal locomotor kinematic trajectory is predefined and a patient basically 'rides' the robot instead of actively pa...
Neuroprosthesis for Decoding Speech in a Paralyzed Person with Anarthria.
The New England journal of medicine
Jul 15, 2021
BACKGROUND: Technology to restore the ability to communicate in paralyzed persons who cannot speak has the potential to improve autonomy and quality of life. An approach that decodes words and sentences directly from the cerebral cortical activity of...
Robotic hand augmentation drives changes in neural body representation.
Science robotics
May 19, 2021
Humans have long been fascinated by the opportunities afforded through augmentation. This vision not only depends on technological innovations but also critically relies on our brain's ability to learn, adapt, and interface with augmentation devices....
Effects of passive and active training modes of upper-limb rehabilitation robot on cortical activation: a functional near-infrared spectroscopy study.
Neuroreport
Apr 7, 2021
OBJECTIVE: The purpose of this study is to investigate the cortical activation during passive and active training modes under different speeds of upper extremity rehabilitation robots.
A robot-assisted sensorimotor training program can improve proprioception and motor function in stroke survivors.
IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Jun 1, 2019
Proprioceptive deficits are common among stroke survivors and are associated with slower motor recovery, poorer upper limb motor function, and decreased self-care ability. Somatosensory feedback augmenting proprioception should enhance motor control ...
Preservation of hand movement representation in the sensorimotor areas of amputees.
Brain : a journal of neurology
Dec 1, 2017
Denervation due to amputation is known to induce cortical reorganization in the sensorimotor cortex. Although there is evidence that reorganization does not lead to a complete loss of the representation of the phantom limb, it is unclear to what exte...
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