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  1.  25
    OB1-reader: A model of word recognition and eye movements in text reading.Joshua Snell, Sam van Leipsig, Jonathan Grainger & Martijn Meeter - 2018 - Psychological Review 125 (6):969-984.
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  2.  54
    A boost and bounce theory of temporal attention.Christian N. L. Olivers & Martijn Meeter - 2008 - Psychological Review 115 (4):836-863.
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  3.  21
    FMTP: A unifying computational framework of temporal preparation across time scales.Josh M. Salet, Wouter Kruijne, Hedderik van Rijn, Sander A. Los & Martijn Meeter - 2022 - Psychological Review 129 (5):911-948.
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  4.  35
    Outlines of a multiple trace theory of temporal preparation.Sander A. Los, Wouter Kruijne & Martijn Meeter - 2014 - Frontiers in Psychology 5.
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  5.  18
    Exploring a novel environment improves motivation and promotes recall of words.Judith Schomaker, Marthe L. V. van Bronkhorst & Martijn Meeter - 2014 - Frontiers in Psychology 5.
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  6.  83
    Neural models that convince: Model hierarchies and other strategies to bridge the gap between behavior and the brain.Martijn Meeter, Janneke Jehee & Jaap Murre - 2007 - Philosophical Psychology 20 (6):749 – 772.
    Computational modeling of the brain holds great promise as a bridge from brain to behavior. To fulfill this promise, however, it is not enough for models to be 'biologically plausible': models must be structurally accurate. Here, we analyze what this entails for so-called psychobiological models, models that address behavior as well as brain function in some detail. Structural accuracy may be supported by (1) a model's a priori plausibility, which comes from a reliance on evidence-based assumptions, (2) fitting existing data, (...)
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  7.  17
    The Role of Attention in Word Recognition: Results from OB1‐Reader.Martijn Meeter, Yousri Marzouki, Arthur E. Avramiea, Joshua Snell & Jonathan Grainger - 2020 - Cognitive Science 44 (7):e12846.
    When reading, orthographic information is extracted not only from the word the reader is looking at, but also from adjacent words in the parafovea. Here we examined, using the recently introduced OB1‐reader computational model, how orthographic information can be processed in parallel across multiple words and how orthographic information can be integrated across time and space. Although OB1‐reader is a model of text reading, here we used it to simulate single‐word recognition experiments in which parallel processing has been shown to (...)
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