Quantative measurements of the neurological control system for hand movement have shown results both of diagnostic value and of theoretical interest in understanding the underlying neural mechanisms and their system organization [1-4]. The requirement for dynamic analysis for a complex unpredictable input is necessary in order to distinguish between behavior attributable to the “neurological” system and that due to the powerful brain prediction apparatus.
In order to meet this need, reduce the hidden errors in analyzing filtered data, permit shorter experiments (and thus less dependence upon assumptions of time invariance) and eliminate painstaking pencil-and-ruler analysis, we have inaugurated an online digital computer system for this and related experiments. The RW-300 computer is a magnetic-drum (8000 18-bit words), solid-state computer that is often used in process control applications.1 It has integral analog-to-digital and digital-to-analog conversion facilities.
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