🧠Cognitive Neuroscientist | System Analyst💻

Dace Apšvalka

📊 This Week I Spent My Time On

💬 Programming Languages: 
Python                   1 hr 44 mins        ███████████░░░░░░░░░░░░░░   43.40 % 
Bash                     40 mins             ████░░░░░░░░░░░░░░░░░░░░░   17.00 % 
Other                    29 mins             ███░░░░░░░░░░░░░░░░░░░░░░   12.15 % 
Jupyter Notebook         22 mins             ██░░░░░░░░░░░░░░░░░░░░░░░   09.26 % 
JSON                     20 mins             ██░░░░░░░░░░░░░░░░░░░░░░░   08.60 % 

🔥 Editors: 
VS Code                  4 hrs               █████████████████████████   100.00 % 

💻 Operating System: 
Linux                    3 hrs 38 mins       ███████████████████████░░   90.67 % 
Windows                  22 mins             ██░░░░░░░░░░░░░░░░░░░░░░░   09.33 %

Last Updated on 15/08/2024 01:33:31 UTC

Dace Apšvalka's Projects

2017_tdcs

Apšvalka D, Ramsey R, Cross ES (2018) Anodal tDCS over primary motor cortex provides no advantage to learning motor sequences via observation. Neural Plasticity 2018:1–14.

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.