Elisabeth A. Karuza

According to our database, Elisabeth A. Karuza authored at least 12 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

The Value of Statistical Learning to Cognitive Network Science.

Elisabeth A. Karuza

Top. Cogn. Sci., 2022

2020

The influence of mismatched network topologies on learning across levels of the language hierarchy.

Gwen Wiegand, Elisabeth A. Karuza

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

Schrödinger's Category: Active Learning in the Face of Label Ambiguity.

John Patterson, Elisabeth A. Karuza

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

Item Distinctiveness is More Critical than Item Context in a Cross-Situational Word Learning Paradigm.

Kendra Lange, Elisabeth A. Karuza

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

2019

Human Sensitivity to Community Structure Is Robust to Topological Variation.

Elisabeth A. Karuza, Ari E. Kahn, Danielle S. Bassett

Complex., 2019

Sensitivity to temporal community structure in the language domain.

Kendra Lange, Carol A. Miller, Daniel J. Weiss, Elisabeth A. Karuza

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

Cognitive Network Science: Quantitatively Investigating the Complexity of Cognition.

Yoed N. Kenett, Nichol Castro, Elisabeth A. Karuza, Michael S. Vitevitch

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

2018

Correction: Subgraphs of functional brain networks identify dynamical constraints of cognitive control.

Ankit N. Khambhati, John D. Medaglia, Elisabeth A. Karuza, Sharon L. Thompson-Schill, Danielle S. Bassett

PLoS Comput. Biol., 2018

Subgraphs of functional brain networks identify dynamical constraints of cognitive control.

Ankit N. Khambhati, John D. Medaglia, Elisabeth A. Karuza, Sharon L. Thompson-Schill, Danielle S. Bassett

PLoS Comput. Biol., 2018

2017

Neural Signatures of Spatial Statistical Learning: Characterizing the Extraction of Structure from Complex Visual Scenes.

Elisabeth A. Karuza, Lauren L. Emberson, Matthew E. Roser, Daniel Cole, Richard N. Aslin, József Fiser

J. Cogn. Neurosci., 2017

2016

Sampling over Nonuniform Distributions: A Neural Efficiency Account of the Primacy Effect in Statistical Learning.

Elisabeth A. Karuza, Ping Li, Daniel J. Weiss, Federica Bulgarelli, Benjamin Zinszer, Richard N. Aslin

J. Cogn. Neurosci., 2016

2014

On-line Measures of Prediction in a Self-Paced Statistical Learning Task.

Elisabeth A. Karuza, Thomas A. Farmer, Alex B. Fine, Francis X. Smith, T. Florian Jaeger

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014