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  1.  26
    Neural plausibility and validation may not be so e-z.Sara C. Sereno, Patrick J. O'Donnell & Anne B. Sereno - 2003 - Behavioral and Brain Sciences 26 (4):502-502.
    Although the E-Z Reader model accounts well for eye-tracking data, it will be judged by new predictions and consistency with evidence from brain imaging methodologies. The stage architecture proposed for lexical access seems somewhat arbitrary and calculated timings are conservatively slow. There are certain effects in the literature that seem incompatible with the model.
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  2.  10
    Extrinsic and intrinsic representations.Sidney R. Lehky & Anne B. Sereno - 2019 - Behavioral and Brain Sciences 42.
    We extend the discussion in the target article about distinctions between extrinsic coding and the alternative we and the target article both favor, intrinsic coding. Central to our thinking about intrinsic coding is population coding and the concept of high-dimensional neural response spaces.
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  3.  30
    Monkeys in space: Primate neural data suggest volumetric representations.Sidney R. Lehky, Anne B. Sereno & Margaret E. Sereno - 2013 - Behavioral and Brain Sciences 36 (5):555-556.
    The target article does not consider neural data on primate spatial representations, which we suggest provide grounds for believing that navigational space may be three-dimensional rather than quasi–two-dimensional. Furthermore, we question the authors' interpretation of rat neurophysiological data as indicating that the vertical dimension may be encoded in a neural structure separate from the two horizontal dimensions.
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  4.  10
    Age-Dependent Performance on Pro-point and Anti-point Tasks.Elijah K. Li, Shannon Lee, Saumil S. Patel & Anne B. Sereno - 2018 - Frontiers in Psychology 9.
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  5.  11
    Searching for a neurophysiological view of ERP components.Anne B. Sereno - 1990 - Behavioral and Brain Sciences 13 (2):253-254.