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Kevin Brown [6]Kevin S. Brown [2]Kevin L. Brown [1]Kevin Joseph Brown [1]
  1.  41
    Prediction‐Based Learning and Processing of Event Knowledge.Ken McRae, Kevin S. Brown & Jeffrey L. Elman - 2021 - Topics in Cognitive Science 13 (1):206-223.
    McRae, Brown and Elman argue against the view that events are structured as frequently‐occurring sequences of world stimuli. They underline the importance of temporal structure defining event types and advance a more complex temporal structure, which allows for some variance in the component elements.
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  2.  9
    When attention wanders: Pupillometric signatures of fluctuations in external attention.Mahiko Konishi, Kevin Brown, Luca Battaglini & Jonathan Smallwood - 2017 - Cognition 168:16-26.
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  3.  25
    EARSHOT: A Minimal Neural Network Model of Incremental Human Speech Recognition.James S. Magnuson, Heejo You, Sahil Luthra, Monica Li, Hosung Nam, Monty Escabí, Kevin Brown, Paul D. Allopenna, Rachel M. Theodore, Nicholas Monto & Jay G. Rueckl - 2020 - Cognitive Science 44 (4):e12823.
    Despite the lack of invariance problem (the many‐to‐many mapping between acoustics and percepts), human listeners experience phonetic constancy and typically perceive what a speaker intends. Most models of human speech recognition (HSR) have side‐stepped this problem, working with abstract, idealized inputs and deferring the challenge of working with real speech. In contrast, carefully engineered deep learning networks allow robust, real‐world automatic speech recognition (ASR). However, the complexities of deep learning architectures and training regimens make it difficult to use them to (...)
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  4.  18
    Investigating the Extent to which Distributional Semantic Models Capture a Broad Range of Semantic Relations.Kevin S. Brown, Eiling Yee, Gitte Joergensen, Melissa Troyer, Elliot Saltzman, Jay Rueckl, James S. Magnuson & Ken McRae - 2023 - Cognitive Science 47 (5):e13291.
    Distributional semantic models (DSMs) are a primary method for distilling semantic information from corpora. However, a key question remains: What types of semantic relations among words do DSMs detect? Prior work typically has addressed this question using limited human data that are restricted to semantic similarity and/or general semantic relatedness. We tested eight DSMs that are popular in current cognitive and psycholinguistic research (positive pointwise mutual information; global vectors; and three variations each of Skip-gram and continuous bag of words (CBOW) (...)
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  5.  38
    Driver of discontent or escape vehicle: the affective consequences of mindwandering.Malia F. Mason, Kevin Brown, Raymond A. Mar & Jonathan Smallwood - 2013 - Frontiers in Psychology 4.
  6.  32
    Dating Adam Smith's Essay "Of the External Senses".Kevin L. Brown - 1992 - Journal of the History of Ideas 53 (2):333-337.
  7.  19
    Reflections on Relativity.Kevin Brown - 2004 - Http://Www.Mathpages.Com/Rr/Rrtoc.Htm.
    "Reflections on Relativity" is a comprehensive presentation of the classical, special, and general theories of relativity, including in-depth historical perspectives, showing how the relativity principle has repeatedly inspired advances in our understanding of the physical world.
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  8.  1
    Samuel Beckett and the Presence of Memory.Kevin Brown - 2015 - Colloquy 29.
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  9.  20
    Engagement, Persistence, and Gender in Computer Science: Results of a Smartphone ESM Study.Carolina Milesi, Lara Perez-Felkner, Kevin Brown & Barbara Schneider - 2017 - Frontiers in Psychology 8:251745.
    While the underrepresentation of women in the fast-growing STEM field of computer science (CS) has been much studied, no consensus exists on the key factors influencing this widening gender gap. Possible suspects include gender differences in aptitude, interest, and academic environment. Our study contributes to this literature by applying student engagement research to study the experiences of college students studying CS, to assess the degree to which differences in men and women’s engagement may help account for gender inequity in the (...)
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  10.  33
    The Economics and Ethics of Mixed Communities: Exploring the Philosophy of Integration Through the Lens of the Subprime Financial Crisis in the US. [REVIEW]Kevin Joseph Brown - 2010 - Journal of Business Ethics 97 (1):35 - 50.
    This article specifically aims to address both the economic and ethical implications of mixed communities in the US through the lens of market failure, and more specifically, the recent subprime financial crisis. Relative to the research of mixed communities and social integration efforts, I first intend to explore income mix as an explanatory variable of census tract level foreclosure rates in the state of Ohio, USA. I aim to show that counter-homogenous income communities display a greater capacity to absorb the (...)
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