Dynamic reconfiguration of human brain networks during learning
University of California, Santa Barbara · Imaging Center · +2 more institutions
Abstract
Human learning is a complex phenomenon requiring flexibility to adapt existing brain function and precision in selecting new neurophysiological activities to drive desired behavior. These two attributes--flexibility and selection--must operate over multiple temporal scales as performance of a skill changes from being slow and challenging to being fast and automatic. Such selective adaptability is naturally provided by modular structure, which plays a critical role in evolution, development, and optimal network function. Using functional connectivity measurements of brain activity acquired from initial training through mastery of a simple motor skill, we investigate the role of modularity in human learning by…
Citation impact
- FWCI
- 29.10
- Percentile
- 100%
- References
- 119
Authors
6Topics & keywords
- Modularity (biology)
- Modular design
- Flexibility (engineering)
- Adaptability
- Computer science
- Control reconfiguration
- Artificial intelligence
- Machine learning
Funding
- NSNational Science FoundationAward: 0645369
- DADavid and Lucile Packard FoundationAward: W911NF-09-D-0001
- JSJames S. McDonnell FoundationAward: 220020177
- DODivision of Mathematical Sciences
- ARArmy Research OfficeAwards: W911NF-09-D-0001, W911NF
- IFInstitute for Collaborative BiotechnologiesAward: W911NF-09-D-0001