Results 41 to 50 of about 5,650,462 (303)
Impaired structural motor connectome in amyotrophic lateral sclerosis. [PDF]
PLoS ONE, 2011 Amyotrophic lateral sclerosis (ALS) is a severe neurodegenerative disease selectively affecting upper and lower motor neurons. Patients with ALS suffer from progressive paralysis and eventually die on average after three years.
Esther Verstraete +4 more
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Scientific Reports, 2022 Focal application of transcranial static magnetic field stimulation (tSMS) over the human motor cortex induces local changes in cortical excitability. Whether tSMS can also induce distant network effects, and how these local and distant effects may vary ...
Vanesa Soto-León +10 more
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Brain Sciences, 2022 Previous research has shown that resting-state functional connectivity (rsFC) between different brain regions (seeds) is related to motor learning and motor memory consolidation.
Simon Titone +5 more
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Simulation of motor-neuronal networks [PDF]
Behavior Research Methods, Instruments, & Computers, 1987 This research develops a theoretical connectionist-type model of the operation of the human motor system. The model includes the operation of the cerebral cortex, pons, spinal cord, and muscles. It emphasizes the parallel passage of neuronal signals, the integration of multiple signals within nuclei, and the modulation of signals as a result of sensory
Michael Yost +2 more
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Development of Motor Networks in Zebrafish Embryos [PDF]
Zebrafish, 2006 General mechanisms of motor network development have often been examined in the spinal cord because of its relative simplicity when compared to higher parts of the brain. Indeed, most of our current understanding of motor pattern generation comes from work in the lower vertebrate spinal cord.
openaire +3 more sources
Kontrol Kecepatan Motor Induksi menggunakan Algoritma Backpropagation Neural Network
Jurnal Elkomika, 2018 ABSTRAK Banyak strategi kontrol berbasis kecerdasan buatan telah diusulkan dalam penelitian seperti Fuzzy Logic dan Artificial Neural Network (ANN).
MUHAMMAD RUSWANDI DJALAL +2 more
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PLoS Computational Biology, 2023 Motor learning involves a widespread brain network including the basal ganglia, cerebellum, motor cortex, and brainstem. Despite its importance, little is known about how this network learns motor tasks and which role different parts of this network take.
Javier Baladron +3 more
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Establishing a comprehensive apheresis medicine program in a resource‐constrained setting presents significant structural, financial, and logistical challenges. Despite the growing clinical importance of apheresis services globally, published experience from sub‐Saharan Africa remains sparse.
Folasade Adelekan‐Popoola +4 more
wiley +1 more source
A General Regression Neural Network Model for Gearbox Fault Detection using Motor Operating Parameters [PDF]
, 2012 Condition monitoring of a gearbox is a very important activity because of the importance of gearboxes in power transmission in many industrial processes.
Gu, Fengshou +5 more
core +4 more sources
Decoding Algorithm of Motor Imagery Electroencephalogram Signal Based on CLRNet Network Model
Sensors, 2023 EEG decoding based on motor imagery is an important part of brain–computer interface technology and is an important indicator that determines the overall performance of the brain–computer interface.
Chaozhu Zhang, Hongxing Chu, Mingyuan Ma
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