Hello!
I’m Marius Schneider, a Postdoctoral Researcher in the Bionic Vision Lab, under the supervision of Michael Beyeler at the Institute for Collaborative Biotechnologies, University of California, Santa Barbara. My research focuses on understanding how the brain extracts important visual information from dynamic environments to help guide visual navigation.
I graduated from Goethe University in 2019 with both a Bachelor’s and a Master’s degree in Physics. I then completed a PhD in Systems and Computational Neuroscience under the supervision of Martin Vinck at the Ernst Strüngmann Institute (ESI) for Neuroscience in Frankfurt, affiliated with the International Max Planck Research School (IMPRS) for Neural Circuits. I defended my PhD with highest honors at Radboud University Nijmegen in May 2024.
In general, I am interested in how the brain achieves flexible information processing, particularly in how different cell types and brain regions integrate sensory information to drive behavior. To explore these questions, I use a combination of detailed biophysical modeling, cutting-edge machine learning techniques, and the analysis of large-scale, multi-area electrophysiological recordings. <!– My name is Marius Schneider, I hold a Master’s degree in Physics and I am currently working on my PhD in Systems & Computational Neuroscience at the Ernst Strüngmann Institute (ESI) for Neuroscience under the supervision of Martin Vinck. I am affiliated with the International Max Planck Research School (IMPRS) for Neural Circuits at the Max Planck Institute for Brain Research.
My research focuses on understanding the dynamics of interactions between brain areas, using both computational models and large-scale electrophysiological data recorded in rodents and non-human primates. I previously worked with Hermann Cuntz and Peter Jedlicka, building large stochastic populations of biophysically realistic granule cell models of the hippocampus to investigate how ion channel diversity increases a neuron’s flexibility and robustness.–>
Publications
Distinct feedforward and feedback pathways for cell-type specific attention effects Paper | Preprint | Tweetprint | |
A mechanism for inter-areal coherence through communication based on connectivity and oscillatory power Paper | Code | Talk | Preprint | Tweetprint | |
Cell-type-specific propagation of visual flicker Paper | Code | Preprint | Tweetprint | |
Biological complexity facilitates tuning of the neuronal parameter space Paper | Code | Preprint | Tweetprint | |
A general principle of dendritic constancy: A neuron’s size-and shape-invariant excitability Paper | Code | Tweetprint | |
Principles of large-scale neural interactions Paper | |
Attentional modulation of inter-areal coherence explained by frequency shifts Paper | |
Aperiodic processes explaining rhythms in behavior: A matter of false detection or definition? Paper | Code | Tweetprint | |
Distinct roles of PV and Sst interneurons in visually-induced gamma oscillations Paper | Tweetprint |
Teaching
Neuromatch Academy: Computational Neuroscience 20227th Baltic-Nordic School on Neuroinformatics BNN, FIAS Frankfurt am Main, 2019
Undergraduate Mentor, Goethe University, Frankfurt am Main, 2019
Computational Neurobiology, Undergraduate course, Goethe University, Biological Sciences, 2018
Talks
Bernstein Center for Computational Neuroscience, Berlin, Germany, 2022Neuromatch Conference, Zoom, 2021
Mini Projects
IBRO-Simons Computational Neuroscience Imbizo Summer School, Cape Town, South Africa,2022Tweets by Mars_Schneider Follow @Mars_Schneider