Postdoctoral researcher
I am a postdoctoral researcher currently working on Theoretical and Computational neuroscience with a background on stochastic dynamics, stochastic analysis, and nonlinear dynamics.
I completed my PhD under the mentorship of Prof. Manfred Opper in March 2023 at the Technical University of Berlin and under close colaboration with the Institute of Mathematics at the University of Potsdam. There by drawing insights from machine learning, statistical learning theory and statistical physics, we developed three frameworks for efficient sampling, control, and inference of overdamped Langevin dynamics ( Maoutsa, Reich, Opper; Entropy; 2020, Maoutsa, Opper; MLPS-NeurIPS; 2021, Maoutsa, Opper; PRRev; 2022, Maoutsa; MLPS-NeurIPS; 2022, Maoutsa; Physics4ML-ICLR; 2023 ).
Before my PhD, I worked in the Network Dynamics (Timme) group at the Max Planck Institute for Dynamics and Self-Organisation in Göttingen, after and during my master’s on Computational Neuroscience at the University of Göttingen. During my stay there, I developed a method for identifying synaptic interactions from spike trains by proposing a mapping of the spiking activity to high-dimensional event spaces that effectively reveal the underlying neuronal interactions (Casadiego*, Maoutsa*, Timme; PRL; 2018), and further studied phase transitions of autonomous intersections.
I made a short stint of ~1 year (July 2023 - Sept. 2024) at the Computation in Neural Circuits (Georgieva) lab within the School of Life Sciences at Technical University of Munich working on topics relating structure and function of neural circuits. During that time I worked on identifying potential circuit mechanisms and design constraints that explain the differential representation of familiar and novel stimuli in layer 2/3 mouse V1, and (co-)supervised three Master’s students working on:
identifying biologically plausible plasticity rules for learning tasks with low-dimensional representations in the neuronal activity space,
investigating functional properties of different spike-timing dependent plasticity rules on nonlinear Hawkes networks,
revealing structural and functional properties of brain circuits from their responses to optogenetic stimulation.
( For more details see mentoring and projects )
If you want to know more about my recent work please go here.
You can also visit my older (unupdatable) website here - keep in mind that it has not been updated after I finished my PhD and I no longer have access to it.
My e-mail: dimitra.maoutsa (ατ) gmail.com