AIMC Journal:
Journal of neural engineering

Showing 221 to 230 of 244 articles

A neuromorphic model of motor overflow in focal hand dystonia due to correlated sensory input.

Journal of neural engineering Aug 31, 2016
OBJECTIVE: Motor overflow is a common and frustrating symptom of dystonia, manifested as unintentional muscle contraction that occurs during an intended voluntary movement. Although it is suspected that motor overflow is due to cortical disorganizati...
Sensation Fingers Evoked Potentials Efferent Pathways Muscle, Skeletal Hand Electromyography Synapses Dystonic Disorders Humans Neural Networks, Computer Algorithms Neuronal Plasticity Models, Neurological
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Large-scale neuromorphic computing systems.

Journal of neural engineering Aug 16, 2016
Neuromorphic computing covers a diverse range of approaches to information processing all of which demonstrate some degree of neurobiological inspiration that differentiates them from mainstream conventional computing systems. The philosophy behind n...
Brain Computer Simulation Computational Biology Models, Neurological Humans Neural Networks, Computer Software
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A neurorobotic platform for locomotor prosthetic development in rats and mice.

Journal of neural engineering Feb 10, 2016
OBJECTIVES: We aimed to develop a robotic interface capable of providing finely-tuned, multidirectional trunk assistance adjusted in real-time during unconstrained locomotion in rats and mice.
Female Animals Spinal Cord Injuries Rats, Inbred Lew Mice Neural Prostheses Robotics Rats Equipment Design Mice, Inbred C57BL Hindlimb Locomotion
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Training and testing ERP-BCIs under different mental workload conditions.

Journal of neural engineering Dec 10, 2015
OBJECTIVE: As one of the most popular and extensively studied paradigms of brain-computer interfaces (BCIs), event-related potential-based BCIs (ERP-BCIs) are usually built and tested in ideal laboratory settings in most existing studies, with subjec...
Male Cognition Electroencephalography Workload Young Adult Adult Sensitivity and Specificity Communication Devices for People with Disabilities Word Processing Pattern Recognition, Automated Brain-Computer Interfaces Task Performance and Analysis Event-Related Potentials, P300 Humans Machine Learning Female Reproducibility of Results
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Towards a symbiotic brain-computer interface: exploring the application-decoder interaction.

Journal of neural engineering Nov 18, 2015
OBJECTIVE: State of the art brain-computer interface (BCI) research focuses on improving individual components such as the application or the decoder that converts the user's brain activity to control signals. In this study, we investigate the intera...
Machine Learning Female Adult Male Electroencephalography Humans Brain-Computer Interfaces Photic Stimulation Event-Related Potentials, P300
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Supervised learning for neural manifold using spatiotemporal brain activity.

Journal of neural engineering Nov 18, 2015
OBJECTIVE: Determining the means by which perceived stimuli are compactly represented in the human brain is a difficult task. This study aimed to develop techniques for the construction of the neural manifold as a representation of visual stimuli.
Supervised Machine Learning Photic Stimulation Magnetoencephalography Orientation Young Adult Humans Adult Brain Male Female Time Factors
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Optimal stimulus scheduling for active estimation of evoked brain networks.

Journal of neural engineering Oct 8, 2015
OBJECTIVE: We consider the problem of optimal probing to learn connections in an evoked dynamic network. Such a network, in which each edge measures an input-output relationship between sites in sensor/actuator-space, is relevant to emerging applicat...
Brain Humans Brain Mapping Neural Networks, Computer Evoked Potentials
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Predicting workload profiles of brain-robot interface and electromygraphic neurofeedback with cortical resting-state networks: personal trait or task-specific challenge?

Journal of neural engineering Jul 14, 2015
OBJECTIVE: Novel rehabilitation strategies apply robot-assisted exercises and neurofeedback tasks to facilitate intensive motor training. We aimed to disentangle task-specific and subject-related contributions to the perceived workload of these inter...
Physical Exertion Nerve Net Electromyography Adult Humans Male Rest Workload Female Middle Aged Psychomotor Performance Brain-Computer Interfaces Young Adult Robotics Cerebral Cortex Neurofeedback
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Leveraging anatomical information to improve transfer learning in brain-computer interfaces.

Journal of neural engineering Jul 14, 2015
OBJECTIVE: Brain-computer interfaces (BCIs) represent a technology with the potential to rehabilitate a range of traumatic and degenerative nervous system conditions but require a time-consuming training process to calibrate. An area of BCI research ...
Algorithms Computer Simulation Models, Neurological Brain Mapping Cerebral Cortex Electroencephalography Humans Models, Anatomic Information Storage and Retrieval Machine Learning Pattern Recognition, Automated Brain-Computer Interfaces
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Assessment of brain-machine interfaces from the perspective of people with paralysis.

Journal of neural engineering Jul 14, 2015
OBJECTIVE: One of the main goals of brain-machine interface (BMI) research is to restore function to people with paralysis. Currently, multiple BMI design features are being investigated, based on various input modalities (externally applied and surg...
Adolescent United States Robotics Electroencephalography Brain-Computer Interfaces Health Care Surveys Patient Preference Communication Devices for People with Disabilities Humans Needs Assessment Young Adult Quadriplegia Technology Female Adult Aged Male Aged, 80 and over Middle Aged
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