Extracellular recordings of spontaneous nerve activity is a common practice for a number of electrophysiological experiments providing valuable information concerning peripheral and central nervous system physiology of vertebrates and invertebrates.
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Adamos DA, Kosmidis EK and Theophilidis G
Deciphering the electrical activity of individual neurons from multi-unit noisy recordings is critical for understanding complex neural systems. A widely used spike sorting algorithm is being evaluated for single-electrode nerve trunk recordings. The algorithm is based on principal component analysis (PCA) for spike feature extraction.
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A Matlab-based, open-source analysis toolbox for multiple-neuron
recordings and network simulations.
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Brain machine interfaces (BMIs) is a field that holds out the hope of allowing severely paralyzed people to communicate with the world, move their limbs, and even walk.
Of course, making that happen is far from simple. Nevertheless, researchers are working to develop solutions to the many practical problems that have prevented the idea from becoming a clinical reality.
Original article published in IEEE’s “The Institute”
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