Wiktor Młynarski

Projects

Lossy Compression in Auditory Perception
Mid-Level Representations of Natural Sounds

CBMM Publications

W. Mlynarski and McDermott, J. H., “Co-occurrence statistics of natural sound features predict perceptual grouping”, Computational and Systems Neuroscience (Cosyne) 2018. 2018.
W. Mlynarski and McDermott, J. H., “Learning Mid-Level Auditory Codes from Natural Sound Statistics”, Neural Computation, vol. 30, no. 3, pp. 631-669, 2018.
W. Mlynarski and McDermott, J. H., “Co-occurrence statistics of natural sound features predict perceptual grouping”, Computational and Systems Neuroscience (COSYNE). Denver, Colorado, 2018.
W. Mlynarski and Hermundstad, A. M., “Adaptive Coding for Dynamic Sensory Inference”, eLife, 2018.
W. Mlynarski and McDermott, J. H., “Adaptive Compression of Statistically Homogenous Sensory Signals”, Computational and Systems Neuroscience (COSYNE). 2017.
W. Mlynarski and McDermott, J. H., “Lossy Compression of Uninformative Stimuli in the Auditory System”, Association for Otolaryngology Mid-Winter Meeting. 2017.
W. Mlynarski and McDermott, J. H., “Learning Mid-Level Codes for Natural Sounds”, Association for Otolaryngology Mid-Winter Meeting. 2017.
W. Mlynarski and McDermott, J. H., “Learning Mid-Level Auditory Codes from Natural Sound Statistics”. 2017.
W. Mlynarski and McDermott, J. H., “Lossy Compression of Sound Texture by the Human Auditory System”, Society for Neuroscience Meeting. 2016.
W. Mlynarski and McDermott, J. H., “Learning Mid-Level Codes for Natural Sounds”, Advances and Perspectives in Auditory Neuroscience. 2016.
W. Mlynarski and McDermott, J. H., “Learning mid-level codes for natural sounds”, Computational and Systems Neuroscience (Cosyne) 2016. Salt Lake City, UT, 2016.