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Principal Investigator
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Address
Ludwig-Maximilians-Universität
München
Faculty of Biology
Grosshadernerstr.
2
82152 Planegg-Martinsried
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Phone
+49-89-2180-74802
Email
mlynarski (at) bio.lmu.de
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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.
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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.
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Related Publications
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Młynarski W* and Hermundstad A*
"Adaptive coding for dynamic
sensory inference", eLife 2018,
https://doi.org/10.7554/eLife.32055
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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
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Młynarski W* and Hermundstad A*
"Efficient and adaptive sensory
codes", Nature Neuroscience
2021,
https://doi.org/10.1038/s41593-021-00846-0
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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
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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
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