Universally Sloppy Parameter Sensitivities in Systems Biology Models. - Ryan N. Gutenkunst; Joshua J. Waterfall; Fergal P. Casey; Kevin S. Brown 001; Christopher R. Myers; James P. Sethna (PLoS Comput. Biol., 2007)

Improving human brain mapping via joint inversion of brain electrodynamics and the BOLD signal. - Kevin S. Brown 001; Stephanie Ortigue; Scott T. Grafton; Jean M. Carlson (NeuroImage, 2010)

Structural drivers of function in information processing networks. - Ann M. Hermundstad; Kevin S. Brown 001; Danielle S. Bassett; Jean M. Carlson (ACSCC, 2011)

Learning, Memory, and the Role of Neural Network Architecture. - Ann M. Hermundstad; Kevin S. Brown 001; Danielle S. Bassett; Jean M. Carlson (PLoS Comput. Biol., 2011)

Escaping the here and now: Evidence for a role of the default mode network in perceptually decoupled thought. - Jonathan Smallwood; Christine M. Tipper; Kevin S. Brown 001; Benjamin Baird; Haakon G. Engen; Joseph R. Michaels; Scott T. Grafton; Jonathan W. Schooler (NeuroImage, 2013)

Structurally-Constrained Relationships between Cognitive States in the Human Brain. - Ann M. Hermundstad; Kevin S. Brown 001; Danielle S. Bassett; Elissa M. Aminoff; Amy Frithsen; Arianne Johnson; Christine M. Tipper; Michael B. Miller; Scott T. Grafton; Jean M. Carlson (PLoS Comput. Biol., 2014)

Universal Features in Phonological Neighbor Networks. - Kevin S. Brown 001; Paul D. Allopenna; William R. Hunt; Rachael Steiner; Elliot Saltzman; Ken McRae; James S. Magnuson (Entropy, 2018)

Using Graph Theory to Understand the Structure of Event Knowledge in Memory. - Kevin S. Brown 001; Nickolas Christidis; Jeffrey L. Elman; Ken McRae (CogSci, 2019)

EARSHOT: A minimal network model of human speech recognition that operates on real speech. - James S. Magnuson; Heejo You; Jay G. Rueckl; Paul D. Allopenna; Monica Li; Sahil Luthra; Rachael Steiner; Hosung Nam; Monty Escabi; Kevin S. Brown 001; Rachel M. Theodore; Nicholas Monto (CogSci, 2019)

What Do Computers Know About Semantics Anyway? Testing Distributional Semantics Models Against a Broad Range of Relatedness Ratings. - Kevin S. Brown 001; Eiling Yee; Elliot Saltzman; James S. Magnuson; Ken McRae (CogSci, 2020)

The Temporal Structure of Event Knowledge in the Mind in Relation to Autistic Traits. - Kara Hannah; Kevin S. Brown 001; Mikayla Hall-Bruce; Ryan Stevenson; Ken McRae (CogSci, 2020)

EARSHOT: A Minimal Neural Network Model of Incremental Human Speech Recognition. - James S. Magnuson; Heejo You; Sahil Luthra; Monica Li; Hosung Nam; Monty Escabi; Kevin S. Brown 001; Paul D. Allopenna; Rachel M. Theodore; Nicholas Monto; Jay G. Rueckl (Cogn. Sci., 2020)

Distributed semantics in a neural network model of human speech recognition. - Kevin S. Brown 001; Nicholas Monto; Jay G. Rueckl; James S. Magnuson (CogSci, 2021)

Prediction-Based Learning and Processing of Event Knowledge. - Ken McRae; Kevin S. Brown 001; Jeffrey L. Elman (Top. Cogn. Sci., 2021)

A tale of two lexica: Investigating computational pressures on word representation with neural networks. - Enes Avcu; Michael Hwang; Kevin Scott Brown; David W. Gow (Frontiers Artif. Intell., 2023)

Investigating the Extent to which Distributional Semantic Models Capture a Broad Range of Semantic Relations. - Kevin S. Brown 001; Eiling Yee; Gitte Joergensen; Melissa Troyer; Elliot Saltzman; Jay G. Rueckl; James S. Magnuson; Ken McRae (Cogn. Sci., 2023)