Top-Down Attentional Guidance Based on Implicit Learning of Visual Covariation

By Marvin M. Chun, Yuhong Jiang. 1999

Subfields: Neuroscience, Cognitive Science & Psychology

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Citations in the corpus

Neural Evidence of Statistical Learning: Efficient Detection of Visual Regularities Without Awareness (2009, unknown): “Third, evidence of learning emerged early during familiarization, showing that statistical learning can operate very quickly and with little exposure.”
Statistical learning of higher-order temporal structure from visual shape sequences. (2002, background): “…results suggest that context (e.g., preceding scenes in the sequential presentation of many scenes) implicitly promotes associations across scenes (Chun & Jiang, 1998, 1999; Chun & Nakayama, 2000; Olson & Chun, 2001), and that target priming can facilitate visual search (Maljkovic & Nakayama,…”
Instance-Aware Image and Sentence Matching with Selective Multimodal LSTM (2016, background): “, “man” and “dog”, but also cause the perception of one instance to generate strong expectations about other instances [5].”
STEVENS' HANDBOOK OF EXPERIMENTAL PSYCHOLOGY (2002, background): “Chun and Jiang (1999) showed that with repeated exposure to particular complex movement sequences, subsequent recognition of those sequences remains at the implicit level.”
Contextual Priming and Feedback for Faster R-CNN (2016, background): “But so far, our focus has been on designing deeper [5, 6] feedforward architectures, even when there is a broad agreement on the importance of feedback connections [17, 41, 42] and limitations of purely feedforward recognition [43, 44] in human visual systems.”
Visual memory for natural scenes: Evidence from change detection and visual search (2006, background): “... search both within a trial, as the visual system keeps track of which objects have been examined (Gibson, Li, Skow, Brown, & Cooke, 2000; Klein, 1988; Klein & MacInnes, 1999; Kristja ´nsson, 2000; Mu ¨ ller & von Mu ¨ hlenen, 2000; Peterson, Kramer, Wang, Irwin, & McCarley, 2001; Takeda & Yagi, ”
On the Functional Role of Implicit Visual Memory for the Adaptive Deployment of Attention Across Scenes (2000, methodology): “Ken Nakayama”
Implicit acquisition and manifestation of classically conditioned attitudes. (2002, background): “Olson and Fazio (2001), capitalizing on recent advances in implicit learning in the cognitive literature (e.g., Chun & Jiang, 1999; Lewicki, Hill, & Czyzewska, 1992; Reber, 1967; see Seger, 1994, for a review), recently developed a paradigm that sought to provide just this evidence.”
Scene context influences without scene gist: Eye movements guided by spatial associations in visual search (2011, unknown): “In addition, using repeated visual search of letter arrays, researchers have shown that spatial associations between the target and the context, the surrounding elements, or the response can markedly improve search performance ( Chun & Jiang, 1999; Jiang & Wagner, 2004; Kunar, Flusberg, Horowitz, &”
Using real-world scenes as contextual cues for search (2006, background): “Chun and his colleagues have conducted a series of elegant experiments in support of this contextual cueing hypothesis (Chua & Chun, 2003; Chun & Jiang, 1998, 1999, 2003; Jiang & Chun, 2001; Olson & Chun, 2002).”
Bottom-up priming of top-down attentional control settings (2008, background): “For example, Chun and Jiang (1998, 1999) found that targets appearing in displays in which the global spatial layout was repeated across trials were more rapidly detected than Please address all correspondence to C. L. Folk, Department of Psychology, Villanova University, Villanova, PA 19085, USA.”
Statistical Regularities Modulate Attentional Capture (2018, background): “For example, the efficiency of searching for a target can be improved when the target consistently appears at specific locations in previously seen displays relative to random locations (Chun & Jiang, 1999).”