Global ETD Search

Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.

Results

Showing 1 to 7 of 7 for “"cue competition"”.

  1. Cue competition between shapes in human spatial learning

    … stimuli. For example, in blocking, learning that cue-A predicts an outcome can reduce learning about a subsequently added cue-B that is paired with cue-A when both cues predict the same outcome (Kamin, 1969). To the extent that spatial learning operates according to similar principles to other …

    hull Repository record for Cue competition between shapes in human spatial learning (opens in a new tab)

  2. Cue competition and feature representation in a category learning task: an fMRI study

    … important. Sometimes, attention is captured by a cue or feature in such a way that other cues or features are not attended to, known as overshadowing. This process is not entirely understood in category learning, with some studies suggesting that it enhances learning of other features (Murphy et …

    colostate Repository record for Cue competition and feature representation in a category learning task: an fMRI study (opens in a new tab)

  3. Syntactic and Referential Ambiguity Resolution Under Cue Competition in Silent Reading: Effects of Implicit Prosodic Cues, L1-L2 and Individual Differences

    … use various types of information as predictive cues to pre-activate structural analyses. Within this growing body of research, it has become apparent that not all cues are created equal; structural biases have repeatedly been shown to be key determinants of syntactic and referential ambiguity …

    cambridge Repository record for Syntactic and Referential Ambiguity Resolution Under Cue Competition in Silent Reading: Effects of Implicit Prosodic Cues, L1-L2 and Individual Differences (opens in a new tab)

  4. Does the Presence of a Non-Coincident Visual Spatial Pattern Facilitate Spatial Pattern Learning? Implications for a Dedicated Spatial Pattern Learning System

    … form of learning because it is not affected by cue competition and has been shown to occur in the absence of discrete landmarks and environmental geometry (Brown, Yang, & DiGian, 2002; Sturz Brown, & Kelly, 2009). In the proposed study, the distinctness of spatial pattern learning was …

    gsu Repository record for Does the Presence of a Non-Coincident Visual Spatial Pattern Facilitate Spatial Pattern Learning? Implications for a Dedicated Spatial Pattern Learning System (opens in a new tab)

  5. Interactions between sources of alignment in human spatial learning

    … to be confined to temporal learning is that of cue-competition, where learning about one cue, or source of information, can compete with learning about another cue such as blocking (Kamin, 1969) or overshadowing (Pavlov, 1927). In a blocking design learning about the relationship between A and X …

    hull Repository record for Interactions between sources of alignment in human spatial learning (opens in a new tab)

  6. Competitive and Noncompetitive Credit Assignment to Reward Cues in the Lateral Orbitofrontal Cortex

    … variations in credit assignment to reward cues, with a focus on the lateral orbitofrontal cortex (lOFC). The lOFC has long been implicated in signaling reward expectancies, with controversy as to whether it signals the economic value of future outcomes, their sensory features to guide …

    cuny-grad Repository record for Competitive and Noncompetitive Credit Assignment to Reward Cues in the Lateral Orbitofrontal Cortex (opens in a new tab)

  7. A Double-Error Correction Computational Model of Learning

    … learning produces a natural account of cue-competition effects such as blocking and overshadowing. Its elemental framework, which incorporates overlapping sets of elements to represent stimuli, leads to it predicting non-linear discriminations including biconditional discriminations and …

    city-london Repository record for A Double-Error Correction Computational Model of Learning (opens in a new tab)