Prof. Dr. Wiktor Młynarski

Principal Investigator

Address

Ludwig-Maximilians-Universität München
Faculty of Biology
Grosshadernerstr. 2
82152 Planegg-Martinsried

Phone

+49-89-2180-74802

Email

mlynarski (at) bio.lmu.de

Homepage

Research topics

Our group explores theoretical principles of neural computations with a particular focus on sensory systems. We study how complex natural stimuli such as sounds or images are represented in neural activity, how does the brain use such representations to infer the state of environment, and how do such inferences support flexible behavior.

Scientific Approach

We apply tools and concepts from information theory, computer science and probabilistic machine learning to develop optimal information processing strategies which might be approximated by biological systems. We then confront theories with reality in close collaborations with experimental groups. Our hope is that this approach will bring us towards identifying general rules which govern information processing in biological systems.

Related Publications

Młynarski W* and Hermundstad A* "Adaptive coding for dynamic sensory inference", eLife 2018, https://doi.org/10.7554/eLife.32055
Młynarski 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
Młynarski W* and Hermundstad A* "Efficient and adaptive sensory codes", Nature Neuroscience 2021, https://doi.org/10.1038/s41593-021-00846-0
Gupta D*, Młynarski W*, Sumser A*, Symonova O, Svaton J and Joesch M "Panoramic visual statistics shape retina-wide organization of receptive fields", Nature Neuroscience 2023, https://doi.org/10.1101/2022.01.11.475815
Młynarski W "The Opponent Channel Population Code of Sound Location Is an Efficient Representation of Natural Binaural Sounds", Plos Computational Biology 2015, https://doi.org/10.1371/journal.pcbi.1004294