AIMC Topic: Motor Cortex
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Learning to Produce Syllabic Speech Sounds via Reward-Modulated Neural Plasticity.
PloS one
Jan 25, 2016
At around 7 months of age, human infants begin to reliably produce well-formed syllables containing both consonants and vowels, a behavior called canonical babbling. Over subsequent months, the frequency of canonical babbling continues to increase. H...
Modeling the motor cortex: Optimality, recurrent neural networks, and spatial dynamics.
Neuroscience research
Nov 10, 2015
Specialization of motor function in the frontal lobe was first discovered in the seminal experiments by Fritsch and Hitzig and subsequently by Ferrier in the 19th century. It is, however, ironical that the functional and computational role of the mot...
Choice reaching with a LEGO arm robot (CoRLEGO): The motor system guides visual attention to movement-relevant information.
Neural networks : the official journal of the International Neural Network Society
Nov 4, 2015
We present an extension of a neurobiologically inspired robotics model, termed CoRLEGO (Choice reaching with a LEGO arm robot). CoRLEGO models experimental evidence from choice reaching tasks (CRT). In a CRT participants are asked to rapidly reach an...
Individual prediction of chronic motor outcome in the acute post-stroke stage: Behavioral parameters versus functional imaging.
Human brain mapping
Aug 19, 2015
Several neurobiological factors have been found to correlate with functional recovery after brain lesions. However, predicting the individual potential of recovery remains difficult. Here we used multivariate support vector machine (SVM) classificati...
A neural network that finds a naturalistic solution for the production of muscle activity.
Nature neuroscience
Jun 15, 2015
It remains an open question how neural responses in motor cortex relate to movement. We explored the hypothesis that motor cortex reflects dynamics appropriate for generating temporally patterned outgoing commands. To formalize this hypothesis, we tr...
Support vector machine and fuzzy C-mean clustering-based comparative evaluation of changes in motor cortex electroencephalogram under chronic alcoholism.
Medical & biological engineering & computing
Mar 13, 2015
In this study, the magnitude and spatial distribution of frequency spectrum in the resting electroencephalogram (EEG) were examined to address the problem of detecting alcoholism in the cerebral motor cortex. The EEG signals were recorded from chroni...
Classification of hemodynamic responses associated with force and speed imagery for a brain-computer interface.
Journal of medical systems
Mar 3, 2015
Functional near-infrared spectroscopy (fNIRS) is an emerging optical technique, which can assess brain activities associated with tasks. In this study, six participants were asked to perform three imageries of hand clenching associated with force and...
Molecular classification of amyotrophic lateral sclerosis by unsupervised clustering of gene expression in motor cortex.
Neurobiology of disease
Dec 10, 2014
Amyotrophic lateral sclerosis (ALS) is a rapidly progressive and ultimately fatal neurodegenerative disease, caused by the loss of motor neurons in the brain and spinal cord. Although 10% of ALS cases are familial (FALS), the majority are sporadic (S...
Spike Neural Network of Motor Cortex Model for Arm Reaching Control.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2024
Motor cortex modeling is crucial for understanding movement planning and execution. While interconnected recurrent neural networks have successfully described the dynamics of neural population activity, most existing methods utilize continuous signal...
Effects of robot-assisted upper limb training combined with intermittent theta burst stimulation (iTBS) on cortical activation in stroke patients: A functional near-infrared spectroscopy study.
NeuroRehabilitation
Jan 1, 2024
BACKGROUND: The therapeutic effect and mechanism of robot-assisted upper limb training (RT) combined with intermittent theta burst stimulation (iTBS) for stroke patients are unclear.
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