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Nicholas F. Wymbs

Affiliations: 
2011 Psychology University of California, Santa Barbara, Santa Barbara, CA, United States 
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Scott T. Grafton grad student 2011 UC Santa Barbara
 (Multiscale Effects of Long-Term Sequence Learning.)

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D'Souza NS, Nebel MB, Wymbs N, et al. (2019) A joint network optimization framework to predict clinical severity from resting state functional MRI data. Neuroimage. 116314
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
Mawase F, Wymbs N, Uehara S, et al. (2016) Reward gain model describes cortical use-dependent plasticity. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2016: 5-8
Mawase F, Wymbs N, Uehara S, et al. (2016) Reward gain model describes cortical use-dependent plasticity. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2016: 5-8
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