Kevin S. Brown

18 papers B 8Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2025 B conf
The Generalized Lotka-Volterra Interactive Activation Model of Word Recognition.
CogSci
Jonathan Mitchell, Kevin S. Brown, James S. Magnuson, Thomas Hannagan
2025 B conf
Using Network Science to Measure Centrality and Standardness in Event Knowledge.
CogSci
Mackenzie Bain, Martha Valmana Crocker, Beatrice Valmana Crocker, Kevin S. Brown, Kara Hannah, Ken McRae
2024 B conf
Nonuniversal foraging behavior in semantic networks.
CogSci
Kevin S. Brown, Jay G. Rueckl, Elliot Saltzman, James S. Magnuson, Ken McRae, Eiling Yee
2023 J jnl
Investigating the Extent to which Distributional Semantic Models Capture a Broad Range of Semantic Relations.
Cogn. Sci.
Kevin S. Brown, Eiling Yee, Gitte Joergensen, Melissa Troyer, Elliot Saltzman, Jay G. Rueckl, James S. Magnuson, Ken McRae
2021 B conf
Distributed semantics in a neural network model of human speech recognition.
CogSci
Kevin S. Brown, Nicholas Monto, Jay G. Rueckl, James S. Magnuson
2021 J jnl
Prediction-Based Learning and Processing of Event Knowledge.
Top. Cogn. Sci.
Ken McRae, Kevin S. Brown, Jeffrey L. Elman
2020 J jnl
EARSHOT: A Minimal Neural Network Model of Incremental Human Speech Recognition.
Cogn. Sci.
James S. Magnuson, Heejo You, Sahil Luthra, Monica Li, Hosung Nam, Monty Escabi, Kevin S. Brown, Paul D. Allopenna, Rachel M. Theodore, Nicholas Monto, Jay G. Rueckl
2020 B conf
The Temporal Structure of Event Knowledge in the Mind in Relation to Autistic Traits.
CogSci
Kara Hannah, Kevin S. Brown, Mikayla Hall-Bruce, Ryan Stevenson, Ken McRae
2020 B conf
What Do Computers Know About Semantics Anyway? Testing Distributional Semantics Models Against a Broad Range of Relatedness Ratings.
CogSci
Kevin S. Brown, Eiling Yee, Elliot Saltzman, James S. Magnuson, Ken McRae
2019 B conf
EARSHOT: A minimal network model of human speech recognition that operates on real speech.
CogSci
James S. Magnuson, Heejo You, Jay G. Rueckl, Paul D. Allopenna, Monica Li, Sahil Luthra, Rachael Steiner, Hosung Nam, Monty Escabi, Kevin S. Brown, Rachel M. Theodore, Nicholas Monto
2019 B conf
Using Graph Theory to Understand the Structure of Event Knowledge in Memory.
CogSci
Kevin S. Brown, Nickolas Christidis, Jeffrey L. Elman, Ken McRae
2018 J jnl
Universal Features in Phonological Neighbor Networks.
Entropy
Kevin S. Brown, Paul D. Allopenna, William R. Hunt, Rachael Steiner, Elliot Saltzman, Ken McRae, James S. Magnuson
2014 J jnl
Structurally-Constrained Relationships between Cognitive States in the Human Brain.
PLoS Comput. Biol.
Ann M. Hermundstad, Kevin S. Brown, Danielle S. Bassett, Elissa M. Aminoff, Amy Frithsen, Arianne Johnson, Christine M. Tipper, Michael B. Miller, Scott T. Grafton, Jean M. Carlson
2013 J jnl
Escaping the here and now: Evidence for a role of the default mode network in perceptually decoupled thought.
NeuroImage
Jonathan Smallwood, Christine M. Tipper, Kevin S. Brown, Benjamin Baird, Haakon G. Engen, Joseph R. Michaels, Scott T. Grafton, Jonathan W. Schooler
2011 J jnl
Learning, Memory, and the Role of Neural Network Architecture.
PLoS Comput. Biol.
Ann M. Hermundstad, Kevin S. Brown, Danielle S. Bassett, Jean M. Carlson
2011 — conf
Structural drivers of function in information processing networks.
ACSCC
Ann M. Hermundstad, Kevin S. Brown, Danielle S. Bassett, Jean M. Carlson
2010 J jnl
Improving human brain mapping via joint inversion of brain electrodynamics and the BOLD signal.
NeuroImage
Kevin S. Brown, Stephanie Ortigue, Scott T. Grafton, Jean M. Carlson
2007 J jnl
Universally Sloppy Parameter Sensitivities in Systems Biology Models.
PLoS Comput. Biol.
Ryan N. Gutenkunst, Joshua J. Waterfall, Fergal P. Casey, Kevin S. Brown, Christopher R. Myers, James P. Sethna