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Filters: Author is Wiktor Mlynarski [Clear All Filters]
Adaptive Coding for Dynamic Sensory Inference. eLife (2018).
Co-occurrence statistics of natural sound features predict perceptual grouping. Computational and Systems Neuroscience (COSYNE) (2018). at <http://www.cosyne.org/c/index.php?title=Cosyne_18>
Co-occurrence statistics of natural sound features predict perceptual grouping. Computational and Systems Neuroscience (Cosyne) 2018 (2018).
Learning Mid-Level Auditory Codes from Natural Sound Statistics. Neural Computation 30, 631-669 (2018).
Adaptive Compression of Statistically Homogenous Sensory Signals. Computational and Systems Neuroscience (COSYNE) (2017).
Learning Mid-Level Auditory Codes from Natural Sound Statistics. (2017).
MlynarskiMcDermott_Memo060.pdf (7.11 MB)
MlynarskiMcDermott_Memo060.pdf (7.11 MB) Learning Mid-Level Codes for Natural Sounds. Association for Otolaryngology Mid-Winter Meeting (2017).
Lossy Compression of Uninformative Stimuli in the Auditory System. Association for Otolaryngology Mid-Winter Meeting (2017).
Learning mid-level codes for natural sounds. Computational and Systems Neuroscience (Cosyne) 2016 (2016). at <http://www.cosyne.org/c/index.php?title=Cosyne2016_posters_2> Wiktor_COSYNE_2015_hierarchy_final.pdf (2.52 MB)
Wiktor_COSYNE_2015_hierarchy_final.pdf (2.52 MB) Learning Mid-Level Codes for Natural Sounds. Advances and Perspectives in Auditory Neuroscience (2016). APAN_large_JHM kopia.pdf (19.74 MB)
APAN_large_JHM kopia.pdf (19.74 MB) Lossy Compression of Sound Texture by the Human Auditory System. Society for Neuroscience Meeting (2016).