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  1. Andrew J. Lotto A. Davi Vitela, Natasha Warner (2013). Perceptual Compensation for Differences in Speaking Style. Frontiers in Psychology 4.
    It is well-established that listeners will shift their categorization of a target vowel as a function of acoustic characteristics of a preceding carrier phrase. These results have been interpreted as an example of perceptual normalization for variability resulting from differences in talker anatomy. The present study examined whether listeners would normalize for acoustic variability resulting from differences in speaking style within a single talker. Two vowel series were synthesized that varied between central and peripheral vowels (the vowels in “beat”‐“bit” and (...)
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  2. A. A. (2007). Leibniz Descartes & Maine de Biran. Cognitive Science 13 (3):142.
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  3. Aulis Aarnio (forthcoming). On the Interpretation of Facts: A Justificatory Point of View in the Case of Gaps in Law. Communication and Cognition.
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  4. David C. Riccio Aaron M. Jasnow, Patrick K. Cullen (2012). Remembering Another Aspect of Forgetting. Frontiers in Psychology 3.
    Although forgetting is most often thought of in terms of declines in performance (response loss or impairment), another class of memory phenomena, the forgetting of stimulus attributes, has begun to attract experimental attention. In nonhuman animals, the loss of memory for stimulus features is reflected in the flattening of stimulus generalization gradients as well as in the attenuation of the disrupting effect of a shift in context at testing. In both cases, a delay between the learning episode and testing results (...)
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  5. Esther Aarts, Mieke van Holstein & Roshan Cools (2011). Striatal Dopamine and the Interface Between Motivation and Cognition. Frontiers in Psychology 2.
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  6. Carlo Abbate & Pietro Davide Trimarchi (2013). Clinical Neuropsychologists Need a Standard Preliminary Observational Examination of Cognitive Functions. Frontiers in Psychology 4.
    Clinical neuropsychologists need a standard preliminary observational examination of cognitive functions.
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  7. K. Abbot-Smith, S. Atran, M. Aveyard, H. Behrens, S. Benus, L. Blomert, T. Bosse, J. Cagan, A. Cangelosi & L. Connell (2006). Copyright© 2006 Cognitive Science Society, Inc. All Rights Reserved. Cognitive Science 30:1127.
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  8. Kirsten Abbot‐Smith & Heike Behrens (2006). How Known Constructions Influence the Acquisition of Other Constructions: The German Passive and Future Constructions. Cognitive Science 30 (6):995-1026.
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  9. Hervé Abdi, Fred Adams, Shaaron Ainsworth, Erik Altmann, Richard Aslin, Robert Aunger, Jerry Balakrishnan, Dana Ballard, Sieghard Beller & Iris Berent (2004). Acknowledgment: Guest Reviewers. Cognitive Science 28:1041-1043.
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  10. J. Abela, L. Goldfarb, O. Abouelala, N. Zahid, A. J. Abrantes, J. S. Marques, R. Acharya, C. Y. Wen, M. Aladjem & B. Lerner (1998). Master Index of Volumes 16±20. Cognition 19:1183.
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  11. Frances Abell, Michael Krams, John Ashburner, Richard Passingham, Karl Friston, Richard Frackowiak, Francesca HappeÂ, Chris Frith & Uta FrithCA (1999). Cognitive Neuroscience NeuroReport. Cognition 10 (1647):1647-1651.
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  12. Robert P. Abelson (1979). Differences Between Belief and Knowledge Systems. Cognitive Science 3 (4):355-366.
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  13. Andrew Aberdein (2013). Mathematical Wit and Mathematical Cognition. Topics in Cognitive Science 5 (2):231-250.
    The published works of scientists often conceal the cognitive processes that led to their results. Scholars of mathematical practice must therefore seek out less obvious sources. This article analyzes a widely circulated mathematical joke, comprising a list of spurious proof types. An account is proposed in terms of argumentation schemes: stereotypical patterns of reasoning, which may be accompanied by critical questions itemizing possible lines of defeat. It is argued that humor is associated with risky forms of inference, which are essential (...)
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  14. Richard A. Abrams, Christopher C. Davoli, Feng Du, William H. Knapp Iii & Daniel Paull (2008). Altered Vision Near the Hands. Cognition 107 (3):1035-1047.
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  15. Roberto Alfonso Abreu-Mendoza, Elia Elena Soto-Alba & Natalia Arias-Trejo (2013). Area Vs. Density: Influence of Visual Variables and Cardinality Knowledge in Early Number Comparison. Frontiers in Psychology 4.
    Current research in the number development field has focused in individual differences regarding the acuity of children’s Approximate Number System. The most common task to evaluate children’s acuity is through non-symbolic numerical comparison. Efforts have been made to prevent children from using perceptual cues by controlling the visual properties of the stimuli (e.g. density, contour length and area); nevertheless, researchers have used these visual controls interchangeably. Studies have also tried to understand the relation between children’s cardinality knowledge and their performance (...)
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  16. A. Açık, A. Sarwary, R. Schultze-Kraft, S. Onat & P. König (2009). Developmental Changes in Natural Viewing Behavior: Bottom-Up and Top-Down Differences Between Children, Young Adults and Older Adults. Frontiers in Psychology 1:207-207.
    Despite the growing interest in fixation selection under natural conditions, there is a major gap in the literature concerning its developmental aspects. Early in life, bottom-up processes, such as local image feature – color, luminance contrast etc. - guided viewing, might be more prominent but later overshadowed by more top-down processing. Moreover, with decline in visual functioning in old age, the bottom-up processing is known to suffer. Here we recorded the eye-movements of 7-9 year-old children, 19-27 year-old adults and older (...)
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  17. Phillip L. Ackerman, Ruth Kanfer & Maynard Goff (1995). Cognitive and Noncognitive Determinants and Consequences of Complex Skill Acquisition. Journal of Experimental Psychology: Applied 1 (4):270.
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  18. Hermann Ackermann, Steffen R. Hage & Wolfram Ziegler (forthcoming). Brain Mechanisms of Acoustic Communication in Humans and Nonhuman Primates: An Evolutionary Perspective. Behavioral and Brain Sciences:1-84.
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  19. D. H. Ackley (1985). GE Hinton, and T. J. Sejnowski," A Learning Machine for Boltzman Machines,". Cognitive Science 9:147-169.
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  20. David H. Ackley, Geoffrey E. Hinton & Terrence J. Sejnowski (1985). A Learning Algorithm for Boltzmann Machines. Cognitive Science 9 (1):147-169.
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  21. Situated Action (1993). Special Issue Of. Cognitive Science 17 (1):1-47.
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  22. William Hirst Adam D. Brown, Nicole Kouri (2012). Memory's Malleability: Its Role in Shaping Collective Memory and Social Identity. Frontiers in Psychology 3.
    Memory's Malleability: Its Role in Shaping Collective Memory and Social Identity.
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  23. Anjan Chatterjee Adam J. Woods, Matthew Lehet (2012). Context Modulates the Contribution of Time and Space in Causal Inference. Frontiers in Psychology 3.
    Humans use kinematic temporal and spatial information from the environment to infer the causal dynamics (e.g., force) of an event. We hypothesize that the basis for these inferences are malleable and modulated by contextual temporal and spatial information. Specifically, the present research investigates whether the extent of a person's ongoing experience with direct causal events (e.g., temporally contiguous and spatially continuous) alters their use of time and space in judgments of causality. Participants made inferences of causality on animated launching events (...)
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  24. Catherine Craver-Lemley Adam Reeves (2012). Unmasking the Perky Effect: Spatial Extent of Image Interference on Visual Acuity. Frontiers in Psychology 3.
    We have previously argued that visual mental images are not substitutable for visual percepts, because the interfering effects of visual stimuli such as line maskers on visual targets differ markedly in their properties from the interfering effects of visual images (the ‘Perky effect’). Imagery interference occurs over a much wider temporal and spatial extent than masking, and unlike masking, image interference is insensitive to relative orientation. The lack of substitutability is theoretically interesting because the Perky effect can be compared meaningfully (...)
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  25. S. V. Adamovich (1992). How Does the Nervous System Control the Equilibrium Trajectory? Behavioral and Brain Sciences 15 (4):704-705.
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  26. Fred Adams, Shaaron Ainsworth, Gerry Altmann, Louise Antony, Michael Arbib, Jennifer Arnold, Bruno Bara, William Bechtel, Shlomo Bentin & Benjamin Bergen (2003). Acknowledgment: Guest Reviewers. Cognitive Science 27:949-950.
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  27. Frederick Adams, Wilson Geisler, David Over, Woo-Kyoung Ahn, LouAnn Gerken, Thomas Palmeri, Kathleen Akins, Lisa Gershkoff-Stowe, David Papineau & Gerry Altmann (2002). Acknowledgment: Guest Reviewers. Cognitive Science 26:841-842.
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  28. Caspar Addyman & Robert M. French (2012). Computational Modeling in Cognitive Science: A Manifesto for Change. Topics in Cognitive Science 4 (3):332-341.
    Computational modeling has long been one of the traditional pillars of cognitive science. Unfortunately, the computer models of cognition being developed today have not kept up with the enormous changes that have taken place in computer technology and, especially, in human-computer interfaces. For all intents and purposes, modeling is still done today as it was 25, or even 35, years ago. Everyone still programs in his or her own favorite programming language, source code is rarely made available, accessibility of models (...)
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  29. Beth Adelson (1985). Comparing Natural and Abstract Categories: A Case Study From Computer Science. Cognitive Science 9 (4):417-430.
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  30. K. Adolph, F. X. Alario, G. Altmann, M. Ashcraft, M. Atkinson, E. Awh, D. Baldwin, D. Balota, G. Baylis & M. Behrmann (2001). Thanks to Our Guest Reviewers of 2000. Cognition 81 (245):245-246.
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  31. Daniel M. Wegner Adrian F. Ward (2013). Mind-Blanking: When the Mind Goes Away. Frontiers in Psychology 4.
    People often feel like their minds and their bodies are in different places. Far from an exotic experience, this phenomenon seems to be ubiquitous facet of human life (e.g., Killingsworth & Gilbert, 2010). Many times, people’s minds seem to go “somewhere else”—attention becomes disconnected from perception, and people’s minds wander to times and places removed from the current environment (e.g., Schooler, Reichle & Halpern, 2004). At other times, however, people’s minds may seem to go nowhere at all—they simply disappear. This (...)
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  32. Diederik Aerts (2014). Quantum and Concept Combination, Entangled Measurements, and Prototype Theory. Topics in Cognitive Science 6 (1):129-137.
    We analyze the meaning of the violation of the marginal probability law for situations of correlation measurements where entanglement is identified. We show that for quantum theory applied to the cognitive realm such a violation does not lead to the type of problems commonly believed to occur in situations of quantum theory applied to the physical realm. We briefly situate our quantum approach for modeling concepts and their combinations with respect to the notions of “extension” and “intension” in theories of (...)
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  33. Diederik Aerts, Marek Czachor, Bart D’Hooghe & Sandro Sozzo (2007). The Pet-Fish Problem on the World-Wide Web. Cognition 2008:2009.
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  34. Diederik Aerts, Liane Gabora & Sandro Sozzo (2013). Concepts and Their Dynamics: A Quantum‐Theoretic Modeling of Human Thought. Topics in Cognitive Science 5 (4):737-772.
    We analyze different aspects of our quantum modeling approach of human concepts and, more specifically, focus on the quantum effects of contextuality, interference, entanglement, and emergence, illustrating how each of them makes its appearance in specific situations of the dynamics of human concepts and their combinations. We point out the relation of our approach, which is based on an ontology of a concept as an entity in a state changing under influence of a context, with the main traditional concept theories, (...)
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  35. Matthew W. Crocker Afra Alishahi, Afsaneh Fazly, Judith Koehne (2012). Sentence-Based Attentional Mechanisms in Word Learning: Evidence From a Computational Model. Frontiers in Psychology 3.
    When looking for the referents of nouns, adults and young children are sensitive to cross- situational statistics (Yu & Smith, 2007; Smith & Yu, 2008). In addition, the linguistic context that a word appears in has been shown to act as a powerful attention mechanism for guiding sentence processing and word learning (Landau & Gleitman, 1985; Altmann & Kamide, 1999; Kako & Trueswell, 2000). Koehne & Crocker (2010, 2011) investigate the interaction between cross-situational evidence and guidance from the sentential context (...)
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  36. Gyan C. Agarwal (1992). Movement Control Hypotheses: A Lesson From History. Behavioral and Brain Sciences 15 (4):705-706.
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  37. John P. Aggleton (1994). Is Eichenbaum Et Al.'S Proposal Testable and How Extensive is the Hippocampal Memory System? Behavioral and Brain Sciences 17 (3):472-473.
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  38. Luigi Francesco Agnati, Diego Guidolin, Leontino Battistin, Giuseppe Pagnoni & Kjell Fuxe (2013). The Neurobiology of Imagination: Possible Role of Interaction-Dominant Dynamics and Default Mode Network. Frontiers in Psychology 4.
    This work aims at presenting some hypotheses about the potential neurobiological substrate of imagery and imagination. For the present purposes, we will define imagery as the production of mental images associated with previous percepts, and imagination as the faculty of forming mental images of a novel character relating to something that has never been actually experienced by the subject but at a great extent emerges from his inner world. The two processes appear intimately related and imagery can arguably be considered (...)
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  39. Thad A. Polk Agnes J. Jasinska, Marie Yasuda, Rebecca E. Rhodes, Cheng Wang (2012). Task Difficulty Modulates the Impact of Emotional Stimuli on Neural Response in Cognitive-Control Regions. Frontiers in Psychology 3.
    Both heightened reactivity to emotional stimuli and impaired cognitive control are key aspects of depression, anxiety, and addiction. But the impact of emotion on cognitive-control processes, and the factors that modulate this impact, are still not well understood. We examined the effects of threat and reward distracters on the neural correlates of cognitive control using functional MRI (fMRI) and the Multi-Source Interference Task (MSIT). Behaviorally, subjects were slower and less accurate on the more demanding incongruent trials compared to the easier (...)
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  40. Thad A. Polk Agnes J. Jasinska, S. Shaun Ho, Stephan F. Taylor, Margit Burmeister, Sandra Villafuerte (2012). Influence of Threat and Serotonin Transporter Genotype on Interference Effects. Frontiers in Psychology 3.
    Emotion-cognition interactions are critical in goal-directed behavior and may be disrupted in psychopathology. Growing evidence also suggests that emotion-cognition interactions are modulated by genetic variation, including genetic variation in the serotonin system. The goal of the current study was to examine the impact of threat-related distracters and serotonin transporter promoter polymorphism (5-HTTLPR/rs25531) on cognitive task performance in healthy females. Using a novel threat-distracter version of the Multiple-Source Interference Task specifically designed to probe emotion-cognition interactions, we demonstrate a robust and temporally (...)
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  41. Lotte Veenstra Agneta H. Fischer, Daniela Becker (2012). Emotional Mimicry in Social Context: The Case of Disgust and Pride. Frontiers in Psychology 3.
    A recent review on facial mimicry concludes that emotional mimicry is less ubiquitous than has been suggested, and only occurs in interactions that are potentially affiliative (see Hess & Fischer, 2012). We hypothesize that individuals do not mimic facial expressions that can be perceived as offensive, such as disgust, and mimic positive emotion displays, but only when the context is affiliative (i.e. with intimates). Second, we expect that in spontaneous interactions not mimicry, but empathic feelings with the other predict the (...)
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  42. Anna Schubö Agnieszka Wykowska (2012). Action Intentions Modulate Allocation of Visual Attention: Electrophysiological Evidence. Frontiers in Psychology 3.
    In line with the Theory of Event Coding (Hommel et al., 2001), action planning has been shown to affect perceptual processing—an effect that has been attributed to a so-called intentional weighting mechanism (Hommel, 2010; Wykowska, Schubö, & Hommel, 2009). This paper investigates the electrophysiological correlates of action-related modulations of selection mechanisms in visual perception. A paradigm combining a visual search task for size and luminance targets with a movement task (grasping or pointing) was introduced, and the EEG was recorded while (...)
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  43. Anna Schubö Agnieszka Wykowska, Bernhard Hommel (2012). Imaging When Acting: Picture but Not Word Cues Induce Action-Related Biases of Visual Attention. Frontiers in Psychology 3.
    In line with the Theory of Event Coding (Hommel et al., 2001), action planning has been shown to affect perceptual processing—an effect that has been attributed to a so-called intentional weighting mechanism (Memelink & Hommel, in press; Wykowska, Schubö, & Hommel, 2009), whose functional role is to provide information for open parameters of online action adjustment (Hommel, 2010). The aim of this study was to test whether different types of action representations induce intentional weighting to various degrees. To meet this (...)
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  44. Bernhard Hommel Agnieszka Wykowska, Christine Anderl, Anna Schubö (2013). Motivation Modulates Visual Attention: Evidence From Pupillometry. Frontiers in Psychology 4.
    Increasing evidence suggests that action planning does not only affect the preparation and execution of overt actions but also “works back” to tune the perceptual system towards action-relevant information. We investigated whether the amount of this impact of action planning on perceptual selection varies as a function of motivation for action, which was assessed online by means of pupillometry (Experiment 1) and visual analogue scales (VAS, Experiment 2). Findings replicate the earlier observation that searching for size-defined targets is more efficient (...)
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  45. Sara Agosta & Giuseppe Sartori (2013). The Autobiographical IAT: A Review. Frontiers in Psychology 4.
    The autobiographical Implicit Association Test (aIAT; Sartori, Agosta, Zogmaister, Ferrara, & Castiello, 2008) is a variant of the Implicit Association Test (IAT; Greenwald, McGhee, & Schwartz, 1998) that is used to establish whether an autobiographical memory is encoded in the respondent’s mind/brain. More specifically, with the aIAT, it is possible to evaluate which one of two autobiographical events is true. The method consists of a computerised categorisation task. The aIAT includes stimuli belonging to four categories, two of them are logical (...)
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  46. Phil Agre, Adam Albright, Rick Alterman, Erik Altmann, Jennifer Amsterlaw, William Badecker, Renee Baillargeon, Dale Barr, Justin Barrett & Lawrence Barsalou (2006). Acknowledgment: Guest Reviewers. Cognitive Science 30:1133-1135.
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  47. Philip E. Agre (1993). The Symbolic Worldview: Reply to Vera and Simon. Cognitive Science 17 (1):61-69.
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  48. Christian Agrillo & Davide Agrillo (2012). Near-Death Experiences as a Tool for Forming a Broader Comprehension of the Link Between Consciousness and Social Perception: Commentary on Graziano and Kastner (2011). Frontiers in Psychology 3.
    Near-Death Experiences as a Tool for Forming a Broader Comprehension of the Link between Consciousness and Social Perception: Commentary on Graziano and Kastner (2011).
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  49. Christian Agrillo & Michael J. Beran (2013). Number Without Language: Comparative Psychology and the Evolution of Numerical Cognition. Frontiers in Psychology 4.
    Number without language: comparative psychology and the evolution of numerical cognition.
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  50. Christian Agrillo & Maria Elena Miletto Petrazzini (2013). Glimpse of ATOM in Non-Human Species? Frontiers in Psychology 4.
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