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Pseudorandom Counters
7. Assume that c2 and c4 equal one. Verify using a table to trace the outputs of each
toggle that the pseudorandom counter of this chapter provides the sequence:
1111, 0111, 0011, 1001, 1100, 1110, 1111.
(a) Is the sequence maximal?
(b) Why does not 0000 appear?
(c) What is involved in designing a code that removes only one attribute at a
time? (HINT: Think of a shift register filled with ones in which a zero is
shifted across the register.)
8. Design a different 4-bit pseudorandom count sequence using gates as in this
chapter.
9. Provide a timing diagram for the major variables for Problem 8.
Attachment 1
Identification of Signals
￿ Attributes (cues)—Attributes refer to the distributed signals that constitute a
mental impression or image. Each attribute for an image is assumed to be held in
distributed STM and collectively they represent consciousness. STM is so called
because each STM neuron emits pulses that repeat for up to several seconds,
thanks to an extended triggering voltage in dendrites and soma.
The cues that are taken to activate long-term memory are a subset of all possible
attributes. The subset is indexed and numbered 1
K. The size of the
subset K is unknown but it is assumed to be substantial. The value K represents
the number of communication channels going to associative (long term) mem-
ory. It is also the number of simulated qubits assumed to aid memory search in
the event of inconsistencies in the cues.
￿ CueMods(1)—This signal goes true to permit modifications of the cues and a
new search, and also clearing of R1 when a match is returned. CueMods(1) can
go true only if the register flag is set and if there are no new searches that need to
be done.
￿ New(1)—This is a signal that indicates when a new image is being applied to
STM. New(1) is a regular (shorter) burst of pulses, perhaps ten pulses. It will
enable a search of long-term memory and will also prevent any simultaneous
searches stemming from the simulated qubits that are dealing with past incon-
sistent cues.
k
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