Nicholas F. Wymbs

Affiliations: 
2011 Psychology University of California, Santa Barbara, Santa Barbara, CA, United States 
Google:
"Nicholas Wymbs"
Mean distance: 15.46 (cluster 23)
 

Parents

Sign in to add mentor
Scott T. Grafton grad student 2011 UC Santa Barbara
 (Multiscale Effects of Long-Term Sequence Learning.)
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Mitchell BA, Lauharatanahirun N, Garcia JO, et al. (2019) A Minimum Free Energy Model of Motor Learning. Neural Computation. 1-19
Mattar MG, Wymbs NF, Bock AS, et al. (2018) Predicting future learning from baseline network architecture. Neuroimage
Reddy PG, Mattar MG, Murphy AC, et al. (2018) Brain state flexibility accompanies motor-skill acquisition. Neuroimage
Khambhati AN, Mattar MG, Wymbs NF, et al. (2017) Beyond modularity: Fine-scale mechanisms and rules for brain network reconfiguration. Neuroimage
Bogdanov P, Dereli N, Dang XH, et al. (2017) Learning about learning: Mining human brain sub-network biomarkers from fMRI data. Plos One. 12: e0184344
Telesford QK, Ashourvan A, Wymbs NF, et al. (2017) Cohesive network reconfiguration accompanies extended training. Human Brain Mapping
Huang W, Goldsberry L, Wymbs NF, et al. (2016) Graph Frequency Analysis of Brain Signals. Ieee Journal of Selected Topics in Signal Processing. 10: 1189-1203
Kahn AE, Mattar MG, Vettel JM, et al. (2016) Structural Pathways Supporting Swift Acquisition of New Visuomotor Skills. Cerebral Cortex (New York, N.Y. : 1991)
Wymbs NF, Bastian AJ, Celnik PA. (2016) Motor Skills Are Strengthened through Reconsolidation. Current Biology : Cb
Huang W, Goldsberry L, Wymbs NF, et al. (2016) Graph Frequency Analysis of Brain Signals Ieee Journal On Selected Topics in Signal Processing. 10: 1189-1203
See more...