Some computer modeling applications are naturally distributed, require gathering experimental data, processing raw data, plugging the results of this processing into theoretical models, and repeating the process with various sets of model parameters.
And that one characteristic of this processing pathway is both a blessing and a curse.
One of the best understood aspects of this processing is the detection of motion direction.
Because we have halted all system movement at the point of this processing, our timing requirements are pretty relaxed.
An even more significant factor is that the implications of this processing are not always clear at the time the data is collected.
The new wire may one day be part of this processing, in tiny multiplexers that combine conversations and send them along, or demultiplexers at the other end that separate the signals into their individual components.
A multi-scale, multi-species approach is essential for understanding the site of integration, computational mechanism and functional role of this processing.
The importance of this processing route lies on the possible ductilization of these brittle intermetallics by grain refinement and/or by the introduction of disorder.
This chapter addresses important fundamentals of this processing method including autoclave equipment, gas flow and heat transfer, and aspects of autoclave design.
The aims of this processing are to get an accurate estimation of the phase and to use it to get centimeter precise position estimates every millisecond.
Despite significant advances in characterizing the locus and function of key visual areas, integrating the temporal and spatial dynamics of this processing stream has posed a decades-long challenge to human neuroscience.
