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

Legend:

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Bibliography

2023
Investigating the Extent to which Distributional Semantic Models Capture a Broad Range of Semantic Relations.
Cogn. Sci., May, 2023

A tale of two lexica: Investigating computational pressures on word representation with neural networks.
Frontiers Artif. Intell., February, 2023

2021
Prediction-Based Learning and Processing of Event Knowledge.
Top. Cogn. Sci., 2021

Distributed semantics in a neural network model of human speech recognition.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020
EARSHOT: A Minimal Neural Network Model of Incremental Human Speech Recognition.
Cogn. Sci., 2020

The Temporal Structure of Event Knowledge in the Mind in Relation to Autistic Traits.
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.
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.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Using Graph Theory to Understand the Structure of Event Knowledge in Memory.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018
Universal Features in Phonological Neighbor Networks.
Entropy, 2018

2014
Structurally-Constrained Relationships between Cognitive States in the Human Brain.
PLoS Comput. Biol., 2014

2013
Escaping the here and now: Evidence for a role of the default mode network in perceptually decoupled thought.
NeuroImage, 2013

2011
Learning, Memory, and the Role of Neural Network Architecture.
PLoS Comput. Biol., 2011

Structural drivers of function in information processing networks.
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.
NeuroImage, 2010

2007
Universally Sloppy Parameter Sensitivities in Systems Biology Models.
PLoS Comput. Biol., 2007


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