Dace Apšvalka's repositories
R_functions
Various R-scripts
fMRI_training
Materials for the "Introduction to fMRI analysis" workshop at the MRC CBU
fMRI-COGNESTIC-23
Materials for the "fMRI analysis" workshop at the Cognitive Neuroscience Skills Training In Cambridge-2023 (COGNESTIC-2023).
Domain-general
Apšvalka, D., Ferreira, C. S., Schmitz, T. W., Rowe, J. B., & Anderson, M. C. (2022). Dynamic targeting enables domain-general inhibitory control over action and thought by the prefrontal cortex. Nature Communications, 13, 274. https://doi.org/10.1038/s41467-021-27926-w
E1_IndDiff
Apšvalka, D., Cross, E. S., & Ramsey, R. (2019). Fluid intelligence and working memory support dissociable aspects of learning by physical but not observational practice. Cognition, 190, 170-183.
E2fMRI_MVPA_PPI
Apšvalka, D., Cross, E. S., & Ramsey, R. (2018). Observing action sequences elicits sequence-specific neural representations in frontoparietal brain regions. Journal of Neuroscience, 38 (47), 10114-10128.
github-readme-stats
:zap: Dynamically generated stats for your github readmes
neuroconda
Conda environment for neuroimaging analysis in python, R, etc