Working memory load-dependent changes in cortical network connectivity estimated by machine learning.
Hamdi EryilmazKevin F. DowlingDylan E. HughesAnais Rodriguez-ThompsonAlexandra TannerCharlie HuntingtonWilliam G. CoonJoshua L. RoffmanPublished in: NeuroImage (2020)
Keyphrases
- working memory
- network connectivity
- machine learning
- prefrontal cortex
- cognitive load
- computational model
- information processing
- focus of attention
- basal ganglia
- sensor networks
- cognitive architecture
- wireless sensor networks
- short term memory
- long term memory
- individual differences
- network bandwidth
- multi hop
- working memory capacity
- mobile ad hoc networks
- data mining
- functional magnetic resonance imaging
- action selection
- computational models
- knowledge representation
- user interface
- databases