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Items: 12

1.

Network constraints on learnability of probabilistic motor sequences.

Kahn AE, Karuza EA, Vettel JM, Bassett DS.

Nat Hum Behav. 2018 Dec;2(12):936-947. doi: 10.1038/s41562-018-0463-8. Epub 2018 Nov 5.

2.

Functional Alignment with Anatomical Networks is Associated with Cognitive Flexibility.

Medaglia JD, Huang W, Karuza EA, Kelkar A, Thompson-Schill SL, Ribeiro A, Bassett DS.

Nat Hum Behav. 2018;2(2):156-164. doi: 10.1038/s41562-017-0260-9. Epub 2017 Dec 18.

3.

Knowledge gaps in the early growth of semantic feature networks.

Sizemore AE, Karuza EA, Giusti C, Bassett DS.

Nat Hum Behav. 2018 Sep;2(9):682-692. doi: 10.1038/s41562-018-0422-4. Epub 2018 Sep 7.

4.

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

Khambhati AN, Medaglia JD, Karuza EA, Thompson-Schill SL, Bassett DS.

PLoS Comput Biol. 2018 Aug 28;14(8):e1006420. doi: 10.1371/journal.pcbi.1006420. eCollection 2018 Aug.

5.

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

Khambhati AN, Medaglia JD, Karuza EA, Thompson-Schill SL, Bassett DS.

PLoS Comput Biol. 2018 Jul 6;14(7):e1006234. doi: 10.1371/journal.pcbi.1006234. eCollection 2018 Jul. Erratum in: PLoS Comput Biol. 2018 Aug 28;14(8):e1006420.

6.

Process reveals structure: How a network is traversed mediates expectations about its architecture.

Karuza EA, Kahn AE, Thompson-Schill SL, Bassett DS.

Sci Rep. 2017 Oct 6;7(1):12733. doi: 10.1038/s41598-017-12876-5.

7.

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

Karuza EA, Emberson LL, Roser ME, Cole D, Aslin RN, Fiser J.

J Cogn Neurosci. 2017 Dec;29(12):1963-1976. doi: 10.1162/jocn_a_01182. Epub 2017 Aug 29.

8.

Mapping the Parameter Space of tDCS and Cognitive Control via Manipulation of Current Polarity and Intensity.

Karuza EA, Balewski ZZ, Hamilton RH, Medaglia JD, Tardiff N, Thompson-Schill SL.

Front Hum Neurosci. 2016 Dec 27;10:665. doi: 10.3389/fnhum.2016.00665. eCollection 2016.

9.

Local Patterns to Global Architectures: Influences of Network Topology on Human Learning.

Karuza EA, Thompson-Schill SL, Bassett DS.

Trends Cogn Sci. 2016 Aug;20(8):629-640. doi: 10.1016/j.tics.2016.06.003. Epub 2016 Jun 29. Review.

10.

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

Karuza EA, Li P, Weiss DJ, Bulgarelli F, Zinszer BD, Aslin RN.

J Cogn Neurosci. 2016 Oct;28(10):1484-500. doi: 10.1162/jocn_a_00990. Epub 2016 Jun 17.

11.

Combining fMRI and behavioral measures to examine the process of human learning.

Karuza EA, Emberson LL, Aslin RN.

Neurobiol Learn Mem. 2014 Mar;109:193-206. doi: 10.1016/j.nlm.2013.09.012. Epub 2013 Sep 25. Review.

12.

The neural correlates of statistical learning in a word segmentation task: An fMRI study.

Karuza EA, Newport EL, Aslin RN, Starling SJ, Tivarus ME, Bavelier D.

Brain Lang. 2013 Oct;127(1):46-54. doi: 10.1016/j.bandl.2012.11.007. Epub 2013 Jan 11.

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