Titlebook: Imaging Mass Spectrometry; Methods and Protocol Laura M Cole,Malcolm R Clench Book 2023Latest edition The Editor(s) (if applicable) and The

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Robert Bradshaw and substantial—theta-contingent training produces a two- to four-fold increase in learning speed, accompanied by striking differences in hippocampal, prefrontal and cerebellar electrophysiological patterns. Unlike many interfaces that serve as sensory or motor prostheses, our system appears to eng

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Chloe E. Spencer,Catherine J. Duckett,Stephen Rumbelow,Malcolm R. Clenchrovide a secure communication interface. EEG recordings of six male right-handed subjects in the age group of (20–25) were taken. The subjects were normal without any mental disorder. They did not have any problem in communicating and had normal vision. All subjects have good knowledge of digits. A

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Nina Ogrinc,Paul Chaillou,Alexandre Kruszewski,Cristian Duriez,Michel Salzet,Isabelle Fournieret decomposition of EEG signals. These features have been used as an input to multiclass least squares support vector machine (MC-LS-SVM) together with the radial basis function (RBF), Mexican hat wavelet, and Morlet wavelet kernel functions for classification of human emotions from EEG signals. The

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Isabella Piga,Fabio Pagni,Fulvio Magni,Andrew Smithandling of these situations is treated in a brief review of training and calibration strategies. The presented theory is then underpinned by two concrete examples. First, a combination of Event Related Desynchronization (ERD)-based active BCI with gaze control, defining a hybrid BCI as solution for

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Jens Soltwisch,Bram Heijseoretical basis for such devices lies in our ability to detect neural signals and translate volitional commands into control signals for external devices including computers, robotics, or other machines. The acquisition of neural signals has traditionally occurred in the cerebral cortex, and the rec

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