Theoretical Neuroscience

Prof. Dr. Wiktor Młynarski

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+49 89 2180-74802

Prof. Wiktor Młynarski

Raum D01.022

CompNeurobio.org

Wiktor Młynarski at GSN

We investigate the functions of neural systems and the principles underlying their organization. To address these questions, we develop normative theories and use them to derive computational models. We work closely with experimental groups and design statistical analyses of neural and behavioral data.

Our primary focus is on sensory systems. We study how the brain infers properties of the environment, represents sensory information, and adapts to constantly changing conditions. Our work draws on tools from information theory, statistics, and computer science. The theories at the core of our research are substrate-independent, and we seek connections across different domains of biology to identify shared principles.

Publications

Selected Publications:

Mlynarski W * and Hermundstad A * "Adaptive coding for dynamic sensory inference", eLife 2018, https://doi.org/10.7554/eLife.32055

Gant J, and Młynarski W "Anticipatory modulation as a unifying principle of sensory coding during locomotion." bioRxiv 2025 https://doi.org/10.1101/2025.06.29.662230

Mlynarski W * and Hermundstad A * "Efficient and adaptive sensory codes", Nature Neuroscience 2021, https://doi.org/10.1038/s41593-021-00846-0

Mlynarski W *, Hledik M *, Sokolowski T and Tkacik G "Statistical analysis and optimality of neural systems", Neuron 2021, https://doi.org/10.1016/j.neuron.2021.01.020

Gupta D *, Mlynarski W *, Sumser A *, Symonova O, Svaton J and Joesch M "Panoramic visual statistics shape retina-wide organization of receptive fields", Nature Neuroscience 2023 (in press), https://doi.org/10.1101/2022.01.11.475815

All publications can be found here: