This chapter describes in detail one way a feature net can be designed, but other designs may turn out to be preferable. For example, more recent hypotheses, including McClelland and Rumelhart's model, make use of all of the following statements EXCEPT
A) inhibitory connections among the detectors.
B) the elimination of feature detectors, relying instead on geon detectors.
C) connections allowing detectors at one level in the network to influence detectors at lower levels.
D) connections allowing detectors at one level in the network to influence other detectors at the same level.
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Q8: In a tachistoscopic procedure, participants are shown
Q16: Participants are shown the letter-string TPUM for
Q18: When identifying nonword letter strings that are
Q20: In tachistoscopic recognition,participants often make overregularization errors.These
Q23: English nonwords (e.g., "HICE") are easier to
Q31: The efficiency of a feature-net model occasionally
Q31: Compared to detectors that have not fired
Q33: The bigram CO is more common in
Q38: Participants' recognition thresholds are
A) lower for frequently
Q40: Recognition errors (like mistaking CQRN for CORN)
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