Lisanne Schroer

PhD Student

Email address: lschro01@mail.bbk.ac.uk

Supervisors
Prof. Denis Mareschal
Prof. Richard Cooper

Research interest

Most of our daily activities consist of action sequences. These sequences have multiple steps. For example, when making coffee in the morning, a step would be adding sugar, or adding milk. Each of these steps incorporate several actions such as picking up the package of sugar or opening the package. My PhD project aims to investigate how young children learn to plan such complicated action sequences, and whether improvements in executive functioning contribute to the development of this form of action planning. To explore this, I am planning to use motion capture among other measures.

My PhD project is one within the MOTION innovative training network (https://www.motion-eu.org/) and is funded by a Marie Sklodowska-Curie Doctoral fellowship of the European Union’s Horizon 2020 program (grant agreement No 765298).

Education

PhD in Psychology
Centre for Brain and Cognitive Development, Birkbeck College, University of London, United Kingdom
September 2018 – present

MSc in Cognitive Neuroscience
Radboud University, Nijmegen, the Netherlands
2016 – 2018

BSc in Psychology
Radboud University, Nijmegen, the Netherlands
2013 – 2016

Research Experience
2017 – 2018 Master internship
‘Infant’s sensitivity to emotional expressions in kinematics’ at Baby & Child Research Centre, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands

2015 – 2016 Bachelor internship
‘Neural underpinnings of action predictions in statistical learning in infancy’ at Baby & Child Research Centre, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands

2014 – 2015 Honours internship
‘Relationship between action experience and statistical learning in infancy’ at Baby & Child Research Centre, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands

Publications

Monroy, C.D., Meyer, M., Schröer, L., Gerson, S.A., Hunnius, S. (2019). The infant motor system predicts actions based on visual statistical learning. NeuroImage, 185, 947-954. doi:10.1016/j.neuroimage.2017.12.016