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Joshua P. Brown
University of Houston
  1.  35
    The Role of the Anterior Cingulate Cortex in Prediction Error and Signaling Surprise.William H. Alexander & Joshua W. Brown - 2019 - Topics in Cognitive Science 11 (1):119-135.
    In the past two decades, reinforcement learning has become a popular framework for understanding brain function. A key component of RL models, prediction error, has been associated with neural signals throughout the brain, including subcortical nuclei, primary sensory cortices, and prefrontal cortex. Depending on the location in which activity is observed, the functional interpretation of prediction error may change: Prediction errors may reflect a discrepancy in the anticipated and actual value of reward, a signal indicating the salience or novelty of (...)
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    Computational Models of Performance Monitoring and Cognitive Control.William H. Alexander & Joshua W. Brown - 2010 - Topics in Cognitive Science 2 (4):658-677.
    The medial prefrontal cortex (mPFC) has been the subject of intense interest as a locus of cognitive control. Several computational models have been proposed to account for a range of effects, including error detection, conflict monitoring, error likelihood prediction, and numerous other effects observed with single-unit neurophysiology, fMRI, and lesion studies. Here, we review the state of computational models of cognitive control and offer a new theoretical synthesis of the mPFC as signaling response–outcome predictions. This new synthesis has two interacting (...)
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    Discounting of reward sequences: a test of competing formal models of hyperbolic discounting.Noah Zarr, William H. Alexander & Joshua W. Brown - 2014 - Frontiers in Psychology 5.
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