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Elisabeth A. Karuza
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2020 – today
- 2022
- [j6]Elisabeth A. Karuza:
The Value of Statistical Learning to Cognitive Network Science. Top. Cogn. Sci. 14(1): 78-92 (2022) - [c8]John D. Patterson, Nicci C. Schoedel, Elisabeth A. Karuza:
Language Experience Modulates L2-Related Representational Change when Learning Novel Categories. CogSci 2022 - 2021
- [c7]John D. Patterson, Elisabeth A. Karuza:
Now or Later: Representational Convergence in Simulated Simultaneous and Sequential Bilingual Learning Contexts. CogSci 2021 - 2020
- [c6]Kendra Lange, Elisabeth A. Karuza:
Item Distinctiveness is More Critical than Item Context in a Cross-Situational Word Learning Paradigm. CogSci 2020 - [c5]John D. Patterson, Elisabeth A. Karuza:
Schrödinger's Category: Active Learning in the Face of Label Ambiguity. CogSci 2020 - [c4]Gwen Wiegand, Elisabeth A. Karuza:
The influence of mismatched network topologies on learning across levels of the language hierarchy. CogSci 2020
2010 – 2019
- 2019
- [j5]Elisabeth A. Karuza, Ari E. Kahn, Danielle S. Bassett:
Human Sensitivity to Community Structure Is Robust to Topological Variation. Complex. 2019: 8379321:1-8379321:8 (2019) - [c3]Yoed N. Kenett, Nichol Castro, Elisabeth A. Karuza, Michael S. Vitevitch:
Cognitive Network Science: Quantitatively Investigating the Complexity of Cognition. CogSci 2019: 31-32 - [c2]Kendra Lange, Carol A. Miller, Daniel J. Weiss, Elisabeth A. Karuza:
Sensitivity to temporal community structure in the language domain. CogSci 2019: 2071-2077 - 2018
- [j4]Ankit N. Khambhati, John D. Medaglia, Elisabeth A. Karuza, Sharon L. Thompson-Schill, Danielle S. Bassett:
Subgraphs of functional brain networks identify dynamical constraints of cognitive control. PLoS Comput. Biol. 14(7) (2018) - [j3]Ankit N. Khambhati, John D. Medaglia, Elisabeth A. Karuza, Sharon L. Thompson-Schill, Danielle S. Bassett:
Correction: Subgraphs of functional brain networks identify dynamical constraints of cognitive control. PLoS Comput. Biol. 14(8) (2018) - 2017
- [j2]Elisabeth A. Karuza, Lauren L. Emberson, Matthew E. Roser, Daniel Cole, Richard N. Aslin, József Fiser:
Neural Signatures of Spatial Statistical Learning: Characterizing the Extraction of Structure from Complex Visual Scenes. J. Cogn. Neurosci. 29(12) (2017) - 2016
- [j1]Elisabeth A. Karuza, Ping Li, Daniel J. Weiss, Federica Bulgarelli, Benjamin Zinszer, Richard N. Aslin:
Sampling over Nonuniform Distributions: A Neural Efficiency Account of the Primacy Effect in Statistical Learning. J. Cogn. Neurosci. 28(10): 1484-1500 (2016) - 2014
- [c1]Elisabeth A. Karuza, Thomas A. Farmer, Alex B. Fine, Francis X. Smith, T. Florian Jaeger:
On-line Measures of Prediction in a Self-Paced Statistical Learning Task. CogSci 2014
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