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  2. Serial memory processing - Wikipedia

    en.wikipedia.org/wiki/Serial_memory_processing

    Serial memory processing can be either self-terminating or exhaustive. Self-terminating implies that comparisons stop abruptly as soon as the target is found, and then the response is generated. [1] Evidence for this method is found in reaction time studies.

  3. Mental chronometry - Wikipedia

    en.wikipedia.org/wiki/Mental_chronometry

    This supported the idea that a subject did a serial exhaustive search through memory rather than a serial self-terminating search. [58] Sternberg (1969) developed a much-improved method for dividing RT into successive or serial stages, called the additive factor method.

  4. Saul Sternberg - Wikipedia

    en.wikipedia.org/wiki/Saul_Sternberg

    Saul Sternberg is a professor emeritus of psychology and former Paul C. Williams Term Professor (1993–1998) at the University of Pennsylvania.He is a pioneer in the field of cognitive psychology in the development of experimental techniques to study human information processing.

  5. ARINC 429 - Wikipedia

    en.wikipedia.org/wiki/ARINC_429

    The transmitter constantly transmits either 32-bit data words or the NULL state (0 Volts). A single wire pair is limited to one transmitter and no more than 20 receivers. The protocol allows for self-clocking at the receiver end, thus eliminating the need to transmit clocking data. ARINC 429 is an alternative to MIL-STD-1553.

  6. Low-voltage differential signaling - Wikipedia

    en.wikipedia.org/wiki/Low-voltage_differential...

    Serial communication protocols now allow the transfer of data rates in the range of 3 to 4 Gbit/s and thus the control of displays with up to full HD resolution. The integration of the serializer and deserializer components in the control unit due to low demands on additional hardware and software simple and inexpensive.

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  9. Dijkstra–Scholten algorithm - Wikipedia

    en.wikipedia.org/wiki/Dijkstra–Scholten_algorithm

    So, potentially there is no node which can terminate without consulting other nodes. The Dijkstra–Scholten algorithm solves this problem by implicitly creating a spanning tree of the graph. A spanning-tree is a tree which includes each node of the underlying graph once and the edge-set is a subset of the original set of edges.