Publication
] Adaptive Compression of Statistically Homogenous Sensory Signals. Computational and Systems Neuroscience (COSYNE) (2017).
Auditory Perception of Material and Force from Impact Sounds. Annual Meeting of Association for Research in Otolaryngology (2017).
Causal inference in environmental sound recognition. Cognition (2021). doi:10.1016/j.cognition.2021.104627
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).
Deep neural network models of sensory systems: windows onto the role of task constraints. Current Opinion in Neurobiology 55, 121 - 132 (2019).
Deep neural network models of sound localization reveal how perception is adapted to real-world environments. Nature Human Behavior 6, 111–133 (2022).
s41562-021-01244-z.pdf (7.22 MB)
s41562-021-01244-z.pdf (7.22 MB) Deep neural network models reveal interplay of peripheral coding and stimulus statistics in pitch perception. Nature Communications 12, (2021). s41467-021-27366-6.pdf (5.25 MB)
s41467-021-27366-6.pdf (5.25 MB) Divergence in the functional organization of human and macaque auditory cortex revealed by fMRI responses to harmonic tones. Nature Neuroscience (2019). doi:10.1038/s41593-019-0410-7
Ecological origins of perceptual grouping principles in the auditory system. Proceedings of the National Academy of Sciences 116, 25355 - 25364 (2019).
Environmental statistics enable perceptual separation of sound and space. Speech and Audio in the Northeast (2016).
Generative modeling of audible shapes for object perception. The IEEE International Conference on Computer Vision (ICCV) (2017). at <http://openaccess.thecvf.com/content_iccv_2017/html/Zhang_Generative_Modeling_of_ICCV_2017_paper.html>
Harmonicity aids hearing in noise. Attention, Perception, & Psychophysics (2022). doi:10.3758/s13414-021-02376-0
Human inference of force from impact sounds: Perceptual evidence for inverse physics. Annual Meeting of the Acoustical Society 143, (2018).
Human recognition of environmental sounds is not always robust to reverberation. Annual Meeting of the Acoustical Society 143, (2018).
Illusory sound texture reveals multi-second statistical completion in auditory scene analysis. Nature Communications 10, (2019).
Invariance to background noise as a signature of non-primary auditory cortex. Nature Communications 10, (2019).
Investigating audition with a generative model of impact sounds. Annual Meeting of Acoustical Society of America (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 Auditory Codes from Natural Sound Statistics. Neural Computation 30, 631-669 (2018).
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) Learning Mid-Level Codes for Natural Sounds. Association for Otolaryngology Mid-Winter Meeting (2017).
Lecture Notes in Computer ScienceComputer Vision – ECCV 2016Ambient Sound Provides Supervision for Visual Learning. 14th European Conference on Computer Vision 801 - 816 (2016). doi:10.1007/978-3-319-46448-010.1007/978-3-319-46448-0_48
A library of real-world reverberation and a toolbox for its analysis and measurement. Annual Meeting of Acoustical Society of America (2017).