Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Elisabeth A Karuza

Showing results (1-10 of 15) with videos related to

Pageof 2
Sort By:
Topics in Cognitive Science|June 24, 2021
The Value of Statistical Learning to Cognitive Network ScienceElisabeth A Karuza
Brain and Language|June 24, 2021
Multilayer networks: An untapped tool for understanding bilingual neurocognitionHolly A Zaharchuk, Elisabeth A Karuza
Quarterly Journal of Experimental Psychology (2006)|September 2, 2022
Noise-induced differences in the complexity of spoken languageCatherine T Pham, Elisabeth A Karuza
Neurobiology of Learning and Memory|October 1, 2013
Combining fMRI and behavioral measures to examine the process of human learningElisabeth A Karuza, Lauren L Emberson, Richard N Aslin
Trends in Cognitive Sciences|July 5, 2016
Local Patterns to Global Architectures: Influences of Network Topology on Human LearningElisabeth A Karuza, Sharon L Thompson-Schill, Danielle S Bassett
Nature Human Behaviour|October 19, 2018
Knowledge gaps in the early growth of semantic feature networksAnn E Sizemore, Elisabeth A Karuza, Chad Giusti, et al.
Nature Human Behaviour|April 17, 2019
Network constraints on learnability of probabilistic motor sequencesAri E Kahn, Elisabeth A Karuza, Jean M Vettel, et al.
Scientific Reports|October 8, 2017
Process reveals structure: How a network is traversed mediates expectations about its architectureElisabeth A Karuza, Ari E Kahn, Sharon L Thompson-Schill, et al.
Plos Computational Biology|July 7, 2018
Subgraphs of functional brain networks identify dynamical constraints of cognitive controlAnkit N Khambhati, John D Medaglia, Elisabeth A Karuza, et al.
Journal of Cognitive Neuroscience|August 30, 2017
Neural Signatures of Spatial Statistical Learning: Characterizing the Extraction of Structure from Complex Visual ScenesElisabeth A Karuza, Lauren L Emberson, Matthew E Roser, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Topics in Cognitive Science|June 24, 2021
The Value of Statistical Learning to Cognitive Network ScienceElisabeth A Karuza
Brain and Language|June 24, 2021
Multilayer networks: An untapped tool for understanding bilingual neurocognitionHolly A Zaharchuk, Elisabeth A Karuza
Quarterly Journal of Experimental Psychology (2006)|September 2, 2022
Noise-induced differences in the complexity of spoken languageCatherine T Pham, Elisabeth A Karuza
Neurobiology of Learning and Memory|October 1, 2013
Combining fMRI and behavioral measures to examine the process of human learningElisabeth A Karuza, Lauren L Emberson, Richard N Aslin
Trends in Cognitive Sciences|July 5, 2016
Local Patterns to Global Architectures: Influences of Network Topology on Human LearningElisabeth A Karuza, Sharon L Thompson-Schill, Danielle S Bassett
Nature Human Behaviour|October 19, 2018
Knowledge gaps in the early growth of semantic feature networksAnn E Sizemore, Elisabeth A Karuza, Chad Giusti, et al.
Nature Human Behaviour|April 17, 2019
Network constraints on learnability of probabilistic motor sequencesAri E Kahn, Elisabeth A Karuza, Jean M Vettel, et al.
Scientific Reports|October 8, 2017
Process reveals structure: How a network is traversed mediates expectations about its architectureElisabeth A Karuza, Ari E Kahn, Sharon L Thompson-Schill, et al.
Plos Computational Biology|July 7, 2018
Subgraphs of functional brain networks identify dynamical constraints of cognitive controlAnkit N Khambhati, John D Medaglia, Elisabeth A Karuza, et al.
Journal of Cognitive Neuroscience|August 30, 2017
Neural Signatures of Spatial Statistical Learning: Characterizing the Extraction of Structure from Complex Visual ScenesElisabeth A Karuza, Lauren L Emberson, Matthew E Roser, et al.
Pageof 2