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  1. Ullrich K. H. Ecker, Gordon D. A. Brown & Stephan Lewandowsky (2014). Memory Without Consolidation: Temporal Distinctiveness Explains Retroactive Interference. Cognitive Science 39 (4).
    Is consolidation needed to account for retroactive interference in free recall? Interfering mental activity during the retention interval of a memory task impairs performance, in particular if the interference occurs in temporal proximity to the encoding of the to-be-remembered information. There are at least two rival theoretical accounts of this temporal gradient of retroactive interference. The cognitive neuroscience literature has suggested neural consolidation is a pivotal factor determining item recall. According to this account, interfering activity interrupts consolidation processes that would (...)
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  2. Thomas L. Griffiths, Stephan Lewandowsky & Michael L. Kalish (2013). The Effects of Cultural Transmission Are Modulated by the Amount of Information Transmitted. Cognitive Science 37 (5):953-967.
    Information changes as it is passed from person to person, with this process of cultural transmission allowing the minds of individuals to shape the information that they transmit. We present mathematical models of cultural transmission which predict that the amount of information passed from person to person should affect the rate at which that information changes. We tested this prediction using a function-learning task, in which people learn a functional relationship between two variables by observing the values of those variables. (...)
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  3. Klaus Oberauer & Stephan Lewandowsky (2013). Evidence Against Decay in Verbal Working Memory. Journal of Experimental Psychology: General 142 (2):380.
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  4. David K. Sewell, Daniel R. Little & Stephan Lewandowsky (2011). Bayesian Computation and Mechanism: Theoretical Pluralism Drives Scientific Emergence. Behavioral and Brain Sciences 34 (4):212-213.
    The breadth-first search adopted by Bayesian researchers to map out the conceptual space and identify what the framework can do is beneficial for science and reflective of its collaborative and incremental nature. Theoretical pluralism among researchers facilitates refinement of models within various levels of analysis, which ultimately enables effective cross-talk between different levels of analysis.
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  5. Gordon Da Brown & Stephan Lewandowsky (2010). 4 Forgetting in Memory Models. In Sergio Della Sala (ed.), Forgetting. Psychology Press.
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  6. Stephan Lewandowsky, Thomas L. Griffiths & Michael L. Kalish (2009). The Wisdom of Individuals: Exploring People's Knowledge About Everyday Events Using Iterated Learning. Cognitive Science 33 (6):969-998.
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  7. Stephan Lewandowsky, Klaus Oberauer & Gordon D. A. Brown (2009). No Temporal Decay in Verbal Short-Term Memory. Trends in Cognitive Sciences 13 (3):120-126.
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  8. Stephan Lewandowsky, Klaus Oberauer & Gordon D. A. Brown (2009). Response to Altmann: Adaptive Forgetting by Decay or Removal of STM Contents? Trends in Cognitive Sciences 13 (7):280-281.
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  9. Stephan Lewandowsky, Klaus Oberauer & Gordon D. A. Brown (2009). Response to Barrouillet and Camos: Interference or Decay in Working Memory? Trends in Cognitive Sciences 13 (4):146-147.
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  10. Stephan Lewandowsky, Tarryn Wright & Brown & D. A. Gordon (2007). The Interpretation of Temporal Isolation Effects. In Naoyuki Osaka, Robert H. Logie & Mark D'Esposito (eds.), The Cognitive Neuroscience of Working Memory. Oup Oxford.
     
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  11. Stephan Lewandowsky, Tarryn Wright & Gordon Da Brown (2007). The Interpretation of Temporal Isolation Effects. In Naoyuki Osaka, Robert H. Logie & Mark D'Esposito (eds.), The Cognitive Neuroscience of Working Memory. Oup Oxford.
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  12. Stephan Lewandowsky & Simon Farrell (2003). Working Memory, Computational Models Of. In L. Nadel (ed.), Encyclopedia of Cognitive Science. Nature Publishing Group.
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  13. Simon Farrell & Stephan Lewandowsky (2000). The Case Against Distributed Representations: Lack of Evidence. Behavioral and Brain Sciences 23 (4):476-477.
    We focus on two components of Page's argument in favour of localist representations in connectionist networks: First, we take issue with the claim that localist representations can give rise to generalisation and show that whenever generalisation occurs, distributed representations are involved. Second, we counter the alleged shortcomings of distributed representations and show that their properties are preferable to those of localist approaches.
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  14. Stephan Lewandowsky (1998). Implicit Learning and Memory: Science, Fiction, and a Prospectus. In K. Kirsner & G. Speelman (eds.), Implicit and Explicit Mental Processes. Lawrence Erlbaum. 373--391.
  15. Stephan Lewandowsky & Murray Maybery (1998). The Critics Rebutted: A Pyrrhic Victory. Behavioral and Brain Sciences 21 (2):210-211.
    We take up two issues discussed by Chow: the claim by critics of hypothesis testing that the null hypothesis (H0) is always false, and the claim that reporting effect sizes is more appropriate than relying on statistical significance. Concerning the former, we agree with Chow's sentiment despite noting serious shortcomings in his discussion. Concerning the latter, we agree with Chow that effect size need not translate into scientific relevance, and furthermore reiterate that with small samples effect size measures cannot substitute (...)
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  16. Shu-Chen Li, Stephan Lewandowsky & Victor E. DeBrunner (1996). Using Parameter Sensitivity and Interdependence to Predict Model Scope and Falsifiability. Journal of Experimental Psychology: General 125 (4):360.
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  17. Stephan Lewandowsky (1992). Unified Cognitive Theory: Having One's Apple Pie and Eating It. Behavioral and Brain Sciences 15 (3):449-450.
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