AIMC Journal:
Journal of neural engineering

Showing 211 to 220 of 244 articles

A mathematical model for the two-learners problem.

Journal of neural engineering Feb 22, 2017
OBJECTIVE: We present the first generic theoretical formulation of the co-adaptive learning problem and give a simple example of two interacting linear learning systems, a human and a machine.
Humans Machine Learning Linear Models Computer Simulation Man-Machine Systems Learning Game Theory Animals Models, Neurological
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Noise-robust unsupervised spike sorting based on discriminative subspace learning with outlier handling.

Journal of neural engineering Feb 15, 2017
OBJECTIVE: Spike sorting is a fundamental preprocessing step for many neuroscience studies which rely on the analysis of spike trains. Most of the feature extraction and dimensionality reduction techniques that have been used for spike sorting give a...
Machine Learning Algorithms Discriminant Analysis Computer Simulation Reproducibility of Results Artifacts Pattern Recognition, Automated Humans Sensitivity and Specificity Signal-To-Noise Ratio Models, Neurological Action Potentials Models, Statistical
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Classifier transfer with data selection strategies for online support vector machine classification with class imbalance.

Journal of neural engineering Feb 13, 2017
OBJECTIVE: Classifier transfers usually come with dataset shifts. To overcome dataset shifts in practical applications, we consider the limitations in computational resources in this paper for the adaptation of batch learning algorithms, like the sup...
Humans Algorithms Brain Electroencephalography Computer Simulation Pattern Recognition, Automated Data Mining Reproducibility of Results Brain-Computer Interfaces Online Systems Sensitivity and Specificity Support Vector Machine Models, Neurological
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Neuromorphic meets neuromechanics, part II: the role of fusimotor drive.

Journal of neural engineering Jan 17, 2017
OBJECTIVE: We studied the fundamentals of muscle afferentation by building a Neuro-mechano-morphic system actuating a cadaveric finger. This system is a faithful implementation of the stretch reflex circuitry. It allowed the systematic exploration of...
Action Potentials Muscle, Skeletal Robotics Signal Processing, Computer-Assisted Biomimetics Muscle Contraction Synaptic Transmission Afferent Pathways Humans Computer Simulation Animals Models, Neurological Muscle Spindles Motor Neurons, Gamma Neuromuscular Junction
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Neuromorphic meets neuromechanics, part I: the methodology and implementation.

Journal of neural engineering Jan 13, 2017
OBJECTIVE: One goal of neuromorphic engineering is to create 'realistic' robotic systems that interact with the physical world by adopting neuromechanical principles from biology. Critical to this is the methodology to implement the spinal circuitry ...
Muscle, Skeletal Neuromuscular Junction Robotics Signal Processing, Computer-Assisted Biomimetics Computer Simulation Motor Neurons Animals Afferent Pathways Models, Neurological Muscle Spindles Muscle Contraction Action Potentials Humans Synaptic Transmission
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Unsupervised frequency-recognition method of SSVEPs using a filter bank implementation of binary subband CCA.

Journal of neural engineering Jan 10, 2017
OBJECTIVE: Recently developed effective methods for detection commands of steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) that need calibration for visual stimuli, which cause more time and fatigue prior to the use, ...
Visual Perception Visual Cortex Data Interpretation, Statistical Electroencephalography Signal Processing, Computer-Assisted Pattern Recognition, Automated Brain-Computer Interfaces Evoked Potentials, Visual Statistics as Topic Brain Waves Adult Sensitivity and Specificity Male Unsupervised Machine Learning Humans Female Reproducibility of Results
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Support vector machines to detect physiological patterns for EEG and EMG-based human-computer interaction: a review.

Journal of neural engineering Jan 9, 2017
Support vector machines (SVMs) are widely used classifiers for detecting physiological patterns in human-computer interaction (HCI). Their success is due to their versatility, robustness and large availability of free dedicated toolboxes. Frequently ...
Brain Support Vector Machine Muscle, Skeletal Robotics Humans Algorithms Muscle Contraction Evoked Potentials Man-Machine Systems Electroencephalography Electromyography Pattern Recognition, Automated Brain-Computer Interfaces
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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 ...
Movement Evoked Potentials, Motor Imagination Sensorimotor Cortex Humans Sensitivity and Specificity Machine Learning Electroencephalography Algorithms Pattern Recognition, Automated Reproducibility of Results Brain-Computer Interfaces
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Automated selection of brain regions for real-time fMRI brain-computer interfaces.

Journal of neural engineering Nov 30, 2016
OBJECTIVE: Brain-computer interfaces (BCIs) implemented with real-time functional magnetic resonance imaging (rt-fMRI) use fMRI time-courses from predefined regions of interest (ROIs). To reach best performances, localizer experiments and on-site exp...
Nerve Net Visual Perception Visual Cortex Word Processing Humans Female Reproducibility of Results Adult Unsupervised Machine Learning Brain Mapping Principal Component Analysis Sensitivity and Specificity Brain-Computer Interfaces Male Task Performance and Analysis Computer Systems Magnetic Resonance Imaging
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The Si elegans project at the interface of experimental and computational Caenorhabditis elegans neurobiology and behavior.

Journal of neural engineering Oct 14, 2016
OBJECTIVE: In light of recent progress in mapping neural function to behavior, we briefly and selectively review past and present endeavors to reveal and reconstruct nervous system function in Caenorhabditis elegans through simulation.
Behavior, Animal Neural Networks, Computer Locomotion Caenorhabditis elegans Neurobiology Animals Prosthesis Design Brain-Computer Interfaces
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