I am an IST Plus Fellow based in Gašper Tkačik's group at the Institute of Science and Technology Austria. Thanks for visiting my webpage!
UPDATE:In June 2023 I will be joining the Faculty of Biology at the Ludwig Maximilian University of Munich (LMU) as a W2 Professor of Computational Neuroscience
Our paper: "Panoramic visual statistics shape retina-wide organization of receptive fields" is now out in Nature Neuroscience
Our paper: "Efficient coding theory of dynamic attentional modulation" is now out in PLOS Biology.
I gave a talk on our work about population codes in the retina at Cosyne 2022 in Lisbon (video recording)
Our paper: "Efficient and adaptive sensory codes" is now out in Nature Neuroscience
A new collaborative preprint (with Julie Charlton and colleagues from Robbe Goris' lab): "Perceptual decisions exhibit hallmarks of dynamic Bayesian inference" is now on bioRxiv.
Preprints of two collaborative papers with experimentalist colleagues are now on bioRxiv:
"Panoramic visual statistics shape retina-wide organization of receptive fields" with Divyansh Gupta and colleagues from Max Joesch's lab
"Cortical efficient coding dynamics shape behavioral performance" with Chris Angeloni and colleagues from Maria Geffen's lab
"Top-down attention as efficient perceptual inference"
with Gašper Tkačik
"Hierarchical inference guides perceptual decision-making
in a dynamic environment" with Julie Charlton, Yoon Bai,
Ann Hermundstad and Robbe Goris
"Co-occurrence statistics of natural sound features
predict perceptual grouping" with Josh McDermott
"Sensory codes for optimizing tradeoffs between task
performance, adaptation speed and resource use"
with Ann Hermundstad
Our paper: "Learning mid-level auditory codes from natural sound statistics" is out in Neural Computation
I'm organizing the Natural Scene Statistics and Sensory Representations workshop at the Bernstein Conference in Berlin on 21st Sept 2016
Education and working experience:
2018 - to date, IST Plus Fellow, Institute of Science and Technology Austria, Klosterneuburg, Austria
2015 - 2018, Postdoctoral Associate, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, USA
2011 - 2015, PhD in Computer Science, Max-Planck Institute for Mathematics in the Sciences, Leipzig, Germany
2009 - 2011, Research Assistant in Bioinformatics, Department of Molecular Neuropharmacology, Institute of Pharmacology, Polish Academy of Sciences, Kraków, Poland
2005 - 2010 MSc in Computer Science, Jagiellonian University, Kraków, Poland
An important property separating living systems from inorganic matter is the ability to build and maintain internal models of the world. In order to achieve that, organisms extract regularities present in environments in which they evolved and developed.
The brain seems to be a prominent example of a system employing such a strategy. It has been demonstrated that numerous properties of perception and sensation can be explained as an adaptation to the natural environment.
In my work I follow these lines of thought. I analyze the statistical structure of natural stimuli, develop optimal processing strategies which might be approximated by biological systems and verify theoretical predictions through experimental data analysis. I hope that this approach will bring us towards identifying general principles which govern information processing in Nature.
Preprints and manuscripts under review:
* denotes equal contribution
Charlton J., Mlynarski W., Bai Y., Hermundstad A., Goris R."Perceptual decisions exhibit hallmarks of dynamic Bayesian inference", bioRxiv preprint, (preprint link)
Angeloni C., Mlynarski W., Piasini E., Williams A., Wood K., Garami L., Hermundstad A., Geffen M., "Cortical efficient coding dynamics shape behavioral performance", bioRxiv preprint, (preprint link)
Gupta D.*, Mlynarski W.*, Sumser A*, Symonova O., Svaton J., Joesch M., "Panoramic visual statistics shape retina-wide organization of receptive fields", Nature Neuroscience (2023, in press) (preprint link)
Mlynarski W., Tkacik G., "Efficient coding theory of dynamic attentional modulation", PLOS Biology, 2022 (link)
Mlynarski W.*, Hermundstad A.*, "Efficient and adaptive sensory codes", Nature Neuroscience, 2021, (link)
Mlynarski W.*, Hledik M.*, Sokolowski T., Tkacik G. "Statistical analysis and optimality of neural systems", Neuron, 2021, (link, press release)
Mlynarski W., McDermott J.H., "Ecological origins of perceptual grouping principles in the auditory system", Proceedings of the National Academy of Sciences, 2019 (link)
Mlynarski W.*, Hermundstad A.*, "Adaptive coding for dynamic sensory inference", eLife, 2018 (link, press release)
Mlynarski W., McDermott J.H., "Learning mid-level auditory codes from natural sound statistics", Neural Computation, 2018 (link)
Mlynarski W. "The opponent channel population code of sound location is an efficient representation of natural stereo sounds", PLOS Computational Biology, 2015 (link)
Mlynarski W., Jost J. "Statistics of natural binaural sounds", PLOS One, 2014 (link)
Mlynarski W, "Efficient coding of spectrotemporal binaural sounds leads to emergence of the auditory space representation", Frontiers in Computational Neuroscience, 2014 (link)
Mlynarski W., Freigang C., Bennemann J., Stoehr M. and Ruebsamen R.. "Position of acoustic stimulus modulates visual alpha activity", NeuroReport, 2014 (link)
Korostynski M., Piechota M., Dzbek J., Mlynarski W., Szklarczyk K., Ziolkowska B. and Przewlocki R. "Novel drug-regulated transcriptional networks in brain reveal pharmacological properties of psychotropic drugs", BMC Genomics, 2013 (link)
Conference Papers and Technical Reports:
Mlynarski W., McDermott J. H. "Natural sound statistics predict auditory grouping principles", CCN 2018, Philadelphia, USA, Proceedings
Mlynarski W., "Sparse, complex-valued representations of natural sounds learned with phase and amplitude continuity priors", arXiv:1312.4695 [cs.LG]
Mlynarski W., "Learning binaural spectrogram features for azimuthal speaker localization", Interspeech 2013, Lyon, France
Email: wiktor.mlynarski (at) ist (dot) ac (dot) at
wiktor.mlynarski (at) gmail (dot) com
Address: Am Campus 1, 3400 Klosterneuburg, Austria
Google Scholar: link