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ORCIDKevin S. Brown 0001
Person information
- affiliation: Oregon State University, School of Chemical, Biological, and Environmental Engineering, Department of Pharmaceutical Sciences, Corvallis, OR, USA
- affiliation (2013 - 2018): University of Connecticut, Department of Biomedical Engineering, Storrs, CT, USA
- affiliation (2007 - 2012): University of California Santa Barbara, Institute for Collaborative Biotechnologies, Department of Physics, CA, USA
- affiliation (2004 - 2007): Harvard University, Department of Molecular and Cellular Biology, Cambridge, MA, USA
- affiliation (PhD 2003): Cornell University, Ithaca, NY, USA
Other persons with a similar name
- Kevin Brown — disambiguation page
- Kevin A. Brown
- Kevin G. Brown
- Kevin H. Brown
- Kevin J. Brown
- Kevin M. Brown
- Kevin P. Brown
- Kevin Q. Brown
- Kevin R. Brown
- Kevin Leyton-Brown
![[0000-0002-7644-5327]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-7644-5327")
— University of British Columbia, Canada
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2020 – today
- 2023
[j10]Kevin S. Brown, Eiling Yee, Gitte Joergensen, Melissa Troyer, Elliot Saltzman, Jay G. Rueckl, James S. Magnuson, Ken McRae:
Investigating the Extent to which Distributional Semantic Models Capture a Broad Range of Semantic Relations. Cogn. Sci. 47(5) (2023)- [j9]Enes Avcu, Michael Hwang, Kevin Scott Brown, David W. Gow:
A tale of two lexica: Investigating computational pressures on word representation with neural networks. Frontiers Artif. Intell. 6 (2023) - 2021
- [j8]Ken McRae, Kevin S. Brown, Jeffrey L. Elman:
Prediction-Based Learning and Processing of Event Knowledge. Top. Cogn. Sci. 13(1): 206-223 (2021) - [c6]Kevin S. Brown, Nicholas Monto, Jay G. Rueckl, James S. Magnuson:
Distributed semantics in a neural network model of human speech recognition. CogSci 2021 - 2020
- [j7]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:
EARSHOT: A Minimal Neural Network Model of Incremental Human Speech Recognition. Cogn. Sci. 44(4) (2020) - [c5]Kevin S. Brown, Eiling Yee, Elliot Saltzman, James S. Magnuson, Ken McRae:
What Do Computers Know About Semantics Anyway? Testing Distributional Semantics Models Against a Broad Range of Relatedness Ratings. CogSci 2020 - [c4]Kara Hannah, Kevin S. Brown, Mikayla Hall-Bruce, Ryan Stevenson, Ken McRae:
The Temporal Structure of Event Knowledge in the Mind in Relation to Autistic Traits. CogSci 2020
2010 – 2019
- 2019
- [c3]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:
EARSHOT: A minimal network model of human speech recognition that operates on real speech. CogSci 2019: 2248-2253 - [c2]Kevin S. Brown, Nickolas Christidis, Jeffrey L. Elman, Ken McRae:
Using Graph Theory to Understand the Structure of Event Knowledge in Memory. CogSci 2019: 3418 - 2018
- [j6]Kevin S. Brown, Paul D. Allopenna, William R. Hunt, Rachael Steiner, Elliot Saltzman, Ken McRae, James S. Magnuson:
Universal Features in Phonological Neighbor Networks. Entropy 20(7): 526 (2018) - 2014
- [j5]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:
Structurally-Constrained Relationships between Cognitive States in the Human Brain. PLoS Comput. Biol. 10(5) (2014) - 2013
- [j4]Jonathan Smallwood, Christine M. Tipper, Kevin S. Brown, Benjamin Baird, Haakon G. Engen, Joseph R. Michaels, Scott T. Grafton, Jonathan W. Schooler:
Escaping the here and now: Evidence for a role of the default mode network in perceptually decoupled thought. NeuroImage 69: 120-125 (2013) - 2011
- [j3]Ann M. Hermundstad, Kevin S. Brown, Danielle S. Bassett, Jean M. Carlson:
Learning, Memory, and the Role of Neural Network Architecture. PLoS Comput. Biol. 7(6) (2011) - [c1]Ann M. Hermundstad, Kevin S. Brown, Danielle S. Bassett, Jean M. Carlson:
Structural drivers of function in information processing networks. ACSCC 2011: 837-841 - 2010
- [j2]Kevin S. Brown, Stephanie Ortigue, Scott T. Grafton, Jean M. Carlson:
Improving human brain mapping via joint inversion of brain electrodynamics and the BOLD signal. NeuroImage 49(3): 2401-2415 (2010)
2000 – 2009
- 2007
- [j1]Ryan N. Gutenkunst, Joshua J. Waterfall, Fergal P. Casey, Kevin S. Brown, Christopher R. Myers, James P. Sethna:
Universally Sloppy Parameter Sensitivities in Systems Biology Models. PLoS Comput. Biol. 3(10) (2007)
Coauthor Index
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