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However, unlike most coactive processes, the capacity values are much lower than independent parallel, not higher.
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The MIC is useful in distinguishing between serial-AND and coactive processes.
Because the combined algorithmic image is processed as a single unit of information that integrates information from both sensors, the visual processing decision is like a coactive process.
In this note, we demonstrate that a coactive process based on the sum of two Wiener processes has the same SIC form.
C t) greater than 1 (super-capacity) implies better performance than a UCIP model and can be due to facilitation between processes including coactive processing.
Most industrial processes are nonlinear.
SIC and MIC results from the cognitive fusion conditions indicate clear evidence against serial processes, in favor of parallel-OR or even coactive processing.
Fusion also allows for a single percept in which all information is processed in parallel and is pooled to make a decision (coactive processing).
Alternatively, people may process and potentially integrate the two images in parallel, leaving the opportunity for facilitation in judgment performance due to pictorial redundancy speed-ups (Pollatsek, Rayner, & Collins, 1984), which would imply facilitatory parallel or coactive processing.
Architecture refers to whether processing is simultaneous (parallel processing), sequential (serial processing), or information is pooled (coactive processing).
We found group-level evidence of parallel-OR or coactive processing (the MIC cannot distinguish between these processing strategies).
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