Kevin S. Brown

Orcid: 0000-0003-2959-2401

Affiliations:

Oregon State University, School of Chemical, Biological, and Environmental Engineering, Department of Pharmaceutical Sciences, Corvallis, OR, USA
University of Connecticut, Department of Biomedical Engineering, Storrs, CT, USA (2013 - 2018)
University of California Santa Barbara, Institute for Collaborative Biotechnologies, Department of Physics, CA, USA (2007 - 2012)
Harvard University, Department of Molecular and Cellular Biology, Cambridge, MA, USA (2004 - 2007)
Cornell University, Ithaca, NY, USA (PhD 2003)

According to our database¹, Kevin S. Brown authored at least 16 papers between 2007 and 2023.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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Bibliography

2023

Investigating the Extent to which Distributional Semantic Models Capture a Broad Range of Semantic Relations.

[BibT_eX]

[DOI]

Cogn. Sci., May, 2023

A tale of two lexica: Investigating computational pressures on word representation with neural networks.

[BibT_eX]

[DOI]

Frontiers Artif. Intell., February, 2023

2021

Prediction-Based Learning and Processing of Event Knowledge.

[BibT_eX]

[DOI]

Ken McRae

Kevin S. Brown

Jeffrey L. Elman

Top. Cogn. Sci., 2021

Distributed semantics in a neural network model of human speech recognition.

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020

EARSHOT: A Minimal Neural Network Model of Incremental Human Speech Recognition.

[BibT_eX]

[DOI]

Cogn. Sci., 2020

The Temporal Structure of Event Knowledge in the Mind in Relation to Autistic Traits.

[BibT_eX]

[DOI]

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

What Do Computers Know About Semantics Anyway? Testing Distributional Semantics Models Against a Broad Range of Relatedness Ratings.

[BibT_eX]

[DOI]

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019

EARSHOT: A minimal network model of human speech recognition that operates on real speech.

[BibT_eX]

[DOI]

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Using Graph Theory to Understand the Structure of Event Knowledge in Memory.

[BibT_eX]

[DOI]

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Universal Features in Phonological Neighbor Networks.

[BibT_eX]

[DOI]

Entropy, 2018

2014

Structurally-Constrained Relationships between Cognitive States in the Human Brain.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2014

2013

Escaping the here and now: Evidence for a role of the default mode network in perceptually decoupled thought.

[BibT_eX]

[DOI]

NeuroImage, 2013

2011

Learning, Memory, and the Role of Neural Network Architecture.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2011

Structural drivers of function in information processing networks.

[BibT_eX]

[DOI]

Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010

Improving human brain mapping via joint inversion of brain electrodynamics and the BOLD signal.

[BibT_eX]

[DOI]

NeuroImage, 2010

2007

Universally Sloppy Parameter Sensitivities in Systems Biology Models.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2007

Kevin S. Brown

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