Monika joined Princeton in August 2017 as a Dicke fellow. She is working with Andrew Leifer to study how neurons control behavior. In the small roundworm C. elegans it is possible to measure the behavior and the neural dynamics simultaneously. With this unique experimental opportunity, Monika is excited to investigate questions such as:
(i) How are behaviors chosen from a repertoire and how is this decision-process represented in the neural network?
(ii) Can behavior be predicted from the measured neural dynamics alone?
(iii) Are particular features of the functional or anatomical circuits bottle necks for information transmission?
Monika received her Doctorate in Biophysics from the University of Chicago, where she was an HHMI predoctoral fellow. During her PhD at the University of Chicago she studied animal behavior and active transport in cells both theoretically and experimentally.
Link to Google Scholar
Stochastic feeding dynamics arise from the need for information and energy
M Scholz, AR Dinner, E Levine, D Biron
Proceedings of the National Academy of Sciences 114 (35), 9261-9266
A scalable method for automatically measuring pharyngeal pumping in C. elegans
M Scholz, DJ Lynch, KS Lee, E Levine, D Biron
Journal of Neuroscience Methods 274, 172-178
Cycling State that Can Lead to Glassy Dynamics in Intracellular Transport
M Scholz, S Burov, KL Weirich, et al.
Physical Review X 6 (1), 011037