Vasilisa Skvortsova

• MA in Cognitive Psychology, New York University, New York, United States
• 2015 PhD in Cognitive Neuroscience, Pierre et Marie Curie University (UPMC), Paris, France
• Fellow of the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant  # 895213 — learNoise

Research interests

• Neurobiological origins of decision making in healthy and OCD subjects  
• Computational models of learning and decision making in volatile environments

Selected publications

Findling Ch.*, Skvortsova V.*, Dromnelle R., Palminteri S. and Wyart V. Computational noise in reinforcement learning drives behavioral variability in volatile environments (2019).  Nature Neuroscience, doi: 10.1038/s41593-019-0518-9. * - shared first-authorship 

Skvortsova, V., Degos B., Welter M-L., Vidailhet M., and Pessiglione M. (2017). A selective role for dopamine in learning to maximize reward but not to minimize effort: evidence from patients with Parkinson's disease. J Neurosci., 37: 6087-6097. 

Skvortsova, V., Palminteri S., and Pnessiglione M. (2014) Learning to minimize efforts while maximizing rewards: computational principles and neural correlates. J Neurosci., 34:15621-30.