author: mikhail lebedev

Electrocorticographic Brain-Computer Interfaces

... 5 77.0 11 − 40 71 − 100 101 − 150 Kubánek et al., 2009 5 Macro None LMD Data glove [−1.0, +1.0] Finger 5 80.3 8 ... FS CSP 83.8 95.8 Xie et al., 2015 4 Macro Auto FS LDA None Various Gesture 2 95.5 92.7 3 2 Micro 70 − 125 FS PM Data ...

Nanotechnologies in Neuroscience and Neuroengineering

... enzyme; and (B) a source of transposase enzyme, which is a 360-amino acid ... cut the IR sequences, and facilitate relocation and insertion of the ... paste reaction in difficult-to-transfect target cells, better delivery techniques are ...

Augmentation of Brain Function: Facts, Fiction and Controversy: Volume I: Brain-Machine Interfaces

... operant control training. Besides the notion of non-selectivity of neurons, it is again noted that conditioning of ... components of neuronal operant conditioning (biofeedback) paradigm. Feedback and reward are contingent on the ...

Datasets for Brain-Computer Interface Applications

... frequency can be distractor stimulus from the SPACE target with a larger ... as the stimulus frequency increases. However, at some stimulus frequencies ... further compare the BETA database with the benchmark database in Wang et al. (2017) ...

Neural Electroceuticals: Interfacing With the Nervous System With Electrical Stimulation

... IPL (CP6), reference electrode over the Vertex Left and Right IPL 8(75%) 60 ... video judged “self” Proportion of morphing pictures judged “self” Proportion ... 2016 Tsakiris et al., 2008 Kammers et al., 2009 Wold et al., 2014 Karabanov ...

Neural Prostheses for Locomotion

... Ghip, flex , Ghip, ext , Gknee, flex , and Gknee, ext are gain parameters adjusted according to wearer's comfort through the sessions. Robotic intervention was started within the participants'acute period (Table 1). Intervention ...

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