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1From neuronal activity to scalp potential fields - Assets
1From neuronal activity to scalp potential fields - Assets

... The EEG, along with its event-related aspects, reflects the immediate mass action of neural networks from a wide range of brain systems, and thus provides a particularly direct and integrative noninvasive window onto human brain function. During the 80 years since the discovery of the human scalp EE ...
5. Ruiz G., en Homeopathy Jorurnal, 91, 80-84 (2002)
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... frequencies. The gradient of this line seems to meet the above requirements of reproducible and systematic variation under a homeopathic stimulus, and this is our basis to propose an analogous treatment for other electrical signals from the body especially those from the heart and brain. 3 The effec ...
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Oct2011_Computers_Brains_Extra_Mural

... From Alex Meredith, Virginia Commonwealth University, Virginia, USA ...
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... Figure 4.1 (a) Side view of the visual system, showing the three major sites along the primary visual pathway where processing takes place: the eye, the lateral geniculate nucleus, and the visual receiving area of the cortex. (b) Visual system seen from underneath the brain showing how some of the ...
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... Spinal cord has two parallel nerve systems. Sensory nerves—sensory information from PNS to spinal cord Motor nerves—motor signals from spinal cord to muscles ...
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... accuracy of classification when the dimensionality is not reduced and worsens the accuracy when the dimensionality is reduced. However, decision tree classifiers are often suboptimal classifiers. Based on the LDA and Naïve Bayes classifiers, reducing the dimensionality increases the accuracy of clas ...
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... amplifier, such as the Bio Amp built into the PowerLab, is essential to record EEGs. It is also important to use electrodes made of the right material and to connect them properly. Even with these precautions, recordings may be spoiled by a range of unwanted interfering influences, known as artifact ...
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... to the cortex. But still more goes into forming a perception of a scene. The activity of cortical neurons that receive visual input is influenced not only by those inputs but also by excitatory and inhibitory interactions between cortical neurons. Of particular importance for coordinating the many n ...
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...  Neuron most active  Preferred direction  but active at 45 from preferred  How is direction determined?  Populations of M1 neurons  Net activity of neurons with different preferred directions  vectors ~ ...
Abstract Booklet
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... mappings: some of which are relatively easy to learn to control, and others which can be learned only after several days of practice. This raises the intriguing possibility that the neural mechanisms used to learn in those two contexts are quite different: fast BCI learning may be facilitated by the ...
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... patterns in the neural activity to control the behavior of simulated animals or animats (Meyer & Wilson 1991). These include animats that exist on the computer screen, interacting with a virtual world, as well as robots moving about in the real world (see diagram). The hybrid robots or hybrots have ...
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... cusp of creating a working interface between body and machine. Even back then, arms controlled by myoelectric signals were old news; more advanced limbs would read commands directly from the brain. In 2003, scientists at Duke announced that monkeys could control a robotic arm via electrodes implante ...
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600 Kb PDF

... the behavior of the Animat in a simulated environment. The computer acts as its sensory system providing electrical feedback to the network about the Animat’s movement within its environment. Changes in the Animat’s behavior due to interaction with its surroundings are studied in concert with the bi ...
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Brain–computer interface

A brain–computer interface (BCI), sometimes called a mind-machine interface (MMI), direct neural interface (DNI), or brain–machine interface (BMI), is a direct communication pathway between the brain and an external device. BCIs are often directed at assisting, augmenting, or repairing human cognitive or sensory-motor functions.Research on BCIs began in the 1970s at the University of California, Los Angeles (UCLA) under a grant from the National Science Foundation, followed by a contract from DARPA. The papers published after this research also mark the first appearance of the expression brain–computer interface in scientific literature.The field of BCI research and development has since focused primarily on neuroprosthetics applications that aim at restoring damaged hearing, sight and movement. Thanks to the remarkable cortical plasticity of the brain, signals from implanted prostheses can, after adaptation, be handled by the brain like natural sensor or effector channels.Following years of animal experimentation, the first neuroprosthetic devices implanted in humans appeared in the mid-1990s.
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