منابع مشابه
Organizing motor imageries
Over the last few decades, motor imagery has attracted the attention of researchers as a prototypical example of 'embodied cognition' and also as a basis for neuro-rehabilitation and brain-machine interfaces. The current definition of motor imagery is widely accepted, but it is important to note that various abilities rather than a single cognitive entity are dealt with under a single term. Her...
متن کاملColor Palette Images Re-indexing by Self Organizing Motor Maps
Palette re-ordering is a well known and very effective approach for improving the compression of color-indexed images. If the spatial distribution of the indexes in the image is smooth, greater compression ratios may be obtained. As known, obtaining an optimal re-indexing scheme is not a simple problem. In this paper we provide a novel algorithm for palette re-ordering problem showing the advan...
متن کاملA Self-Organizing Neural Model for Motor Equivalent Phoneme Production
This paper describes a model of speech production called DIVA that highlights issues of self-organization and motor equivalent production of phonological units. The model uses a circular reaction strategy to learn two mappings between three levels of representation. Data on the plasticity of phonemic perceptual boundaries motivates a learned mapping between phoneme representations and vocal tra...
متن کاملSelf-organizing continuous attractor networks and motor function
Motor skill learning may involve training a neural system to automatically perform sequences of movements, with the training signals provided by a different system, used mainly during training to perform the movements, that operates under visual sensory guidance. We use a dynamical systems perspective to show how complex motor sequences could be learned by the automatic system. The network uses...
متن کاملMotor Imagery Based Eeg Signal Classification Using Self Organizing Maps
MOTOR IMAGERY BASED EEG SIGNAL CLASSIFICATION USING SELF ORGANIZING MAPS *Muhammad Zeeshan Baig, Yasar Ayaz National University of Science and Technology Islamabad, Pakistan *Contact: [email protected] ABSTRACT: Classification of Motor Imagery (MI) tasks based EEG signals effectively is the main hurdle in order to develop online Brain Computer interface (BCI). In this research article, a re...
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ژورنال
عنوان ژورنال: Neuroscience Research
سال: 2016
ISSN: 0168-0102
DOI: 10.1016/j.neures.2015.11.003