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Position 1 again turned out to be the most important stimulus position (e.g. [X X Ø Ø] or [X Ø Ø X] or [X Ø Ø Ø] are chosen as the trained pattern [X X X X] and [Ø X X Ø] as the alternative trained pattern [Ø X Ø Ø]).
It makes a classification decision based on accumulated distance between network output and trained pattern.
Given the likelihood of high inter-subject anatomical variability and fine spatial scale of phoneme representations, we trained pattern classifiers to discriminate neural patterns associated with different phonemes and then tested these classifiers on independent test trials within anatomically defined ROIs.
Figure 3 Trained pattern of the neural network.
After this process, circuits are able to produce a quantum state which contains the information if a tested element fits to the trained pattern.
For example, the transfer pattern [Ø X X Ø] is chosen more strongly than the trained pattern [X X Ø Ø ] (Fig. 8C), and the transfer pattern [X X Ø Ø] is less strongly chosen than the trained pattern [ØXX Ø] (Fig. 8E).
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Additionally, it does not require the communication of training patterns, which is a crucial component in realistic big data implementations.
Selection of training patterns was accomplished by the user after viewing a graphic display of the EEG signal.
Training patterns differed with respect to numbers and positions.
There is also provided an optimal training pattern.
This is the same training pattern that I used for his last two or three starts.
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