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A common feature of all of these models is that through dynamic competition a slight additional external input in one of the neuronal populations (bottom-up or top-down mediated) is amplified, whereas the activities of the other populations are partially suppressed, implementing in this way an effective filtering mechanism.
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The finite element analysis can be easily implemented in this method of SSI.
Both approaches are implemented in this work.
The PERCLOS [7] has been implemented in this system.
The approach implemented in this system consists of three stages.
Multi-relay cooperation is implemented in this testbed.
The simulation code implemented in this approach is described.
To alleviate this restriction, the interior penalty method is adopted and implemented in this work.
As this methodology is employing an agent module, the agent is also implemented in this step.
The AGC, developed and implemented in this study, is sketched in Fig. 6.
The different kernels implemented in this study are listed in Additional file 1: Table S2.
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