Publications

de Cheveigné, A. & Arzounian, D. (2018). Robust detrending, rereferencing, outlier detection, and inpainting for multichannel data. NeuroImage, In press. doi:10.1016/j.neuroimage.2018.01.035

de Cheveigné, A. & Parra, L. (2014). Joint decorrelation, a versatile tool for multichannel data analysis. NeuroImage, 98, 487-505. doi:10.1016/j.neuroimage.2014.05.068

de Cheveigné, A., Edeline, J., Gaucher, Q. & Gourévitch, B. (2013). Component analysis reveals sharp tuning of the local field potential in the guinea pig auditory cortex. Journal of neurophysiology, 109(1), 261-72. doi:10.1152/jn.00040.2012

de Cheveigné, A. (2012). Quadratic component analysis. NeuroImage, 59(4), 3838-44. doi:10.1016/j.neuroimage.2011.10.084

de Cheveigné, A. & Arzounian, D. (2015). Scanning for oscillations. Journal of neural engineering, 12(6), 066020. doi:10.1088/1741-2560/12/6/066020

de Cheveigné, A. (2016). Sparse time artifact removal. Journal of neuroscience methods, 262, 14-20. doi:10.1016/j.jneumeth.2016.01.005

Demany, L., Monteiro, G. , Semal, C., Shamma, S. & Carlyon, R. (2021). The perception of octave pitch affinity and harmonic fusion have a common origin. Hearing Research. doi:10.1016/j.heares.2021.108213

Demany, L., Semal, C., Cazalets, J. & Pressnitzer, D. (2010). Fundamental differences in change detection between vision and audition. Experimental brain research, 203(2), 261-70. doi:10.1007/s00221-010-2226-2

Demany, L., Semal, C. & Pressnitzer, D. (2011). Implicit versus explicit frequency comparisons: two mechanisms of auditory change detection. Journal of experimental psychology. Human perception and performance, 37(2), 597-605. doi:10.1037/a0020368

Demany, L., Pressnitzer, D. & Semal, C. (2009). Tuning properties of the auditory frequency-shift detectors. The Journal of the Acoustical Society of America, 126(3), 1342-8. doi:10.1121/1.3179675

Di Liberto, G., PELOFI, C., Bianco, R. , Patel, P. , Mehta, A. , Herrero, J. , de Cheveigné, A., Shamma, S. & Mesgarani, N. (2021). Cortical encoding of melodic expectations in human temporal cortex. e-Life, 9, e51784. doi:10.7554/eLife.51784

Di Liberto, G., Marion, G. & Shamma, S. (2021). Accurate Decoding of Imagined and Heard Melodies. Frontiers in Neuroscience, 15, 673401. doi:10.3389/fnins.2021.673401

Di Liberto, G., Marion, G. & Shamma, S. (2021). The music of silence. Part II: Music Listening Induces Imagery Responses. Journal of Neuroscience, JN-RM-0184-21. doi:10.1523/JNEUROSCI.0184-21.2021

Di Liberto, G., Nie, J. , Yeaton, J. , Khalighinejad, B. , Shamma, S. & Mesgarani, N. (2021). Neural representation of linguistic feature hierarchy reflects second-language proficiency. NeuroImage, 222, 117586. doi:10.1016/j.neuroimage.2020.117586

Di Liberto, G., Marion, G. & Shamma, S. (2021). Accurate decoding of imagined and listened melodies. Frontiers in Neuroscience. doi:10.3389/fnins.2021.673401

Di Liberto, G., PELOFI, C., Shamma, S. & de Cheveigné, A. (2020). Musical expertise enhances the cortical tracking of the acoustic envelope during naturalistic music listening. Acoustical Science and Technology (Japan), 41 (1), 361-364. doi:10.1250/ast.41.361

Di Liberto, G., Wong, D., Melnik, G. & de Cheveigné, A. (2019 ). Low-frequency cortical responses to natural speech reflect probabilistic phonotactics. NeuroImage, 196, 237-247. doi:10.1016/j.neuroimage.2019.04.037

Dokic, J. (2018). The Role of Noetic Feelings in Sensory Substitution. In F. Macpherson (Eds.), Sensory Substitution and Augmentation, Proceedings of the British Academy Oxford University Press

Dokic, J. (2018). Comments on “Postures of listening” by Victor A. Stoichita and Bernd Brabec de Mori. Terrain. Anthropologie et sciences humaines

Dokic, J. (2018). The Uncanny and Other Negative Existential Feelings. In C. Tappolet, F. Teroni, A. Konzelmann Ziv (Eds.), Shadows of the Soul. Philosophical Perspectives on Negative Emotions (pp. 6-76).Routledge. doi:10.4324/9781315537467

Dokic & Pascal Engel, J. (2018). Visual Awareness and Visual Appearances. A Dual View. In F. Dorsch & F. Macpherson (Eds.), Phenomenal Presence (pp. 181-198). Oxford: Oxford University Press. doi:10.1093/oso/9780199666416.003.0008

Ego-Stengel, V. , Abbasi, A. , Larroche, M. , Lassagne, H. , Boubenec, Y. & Shulz, D. (2019). Mechanical coupling through the skin affects whisker movements and tactile information encoding. Journal of neurophysiology, 122(4), 1606-1622. doi:10.1152/jn.00863.2018

Elgueda, D., Duque, D., Radtke-Schuller, S., Yin, P., David, S., Shamma, S. & Fritz, J. (2019). State-dependent encoding of sound and behavioral meaning in a tertiary region of the ferret auditory cortex. Nature neuroscience, 22(3), 447-459. doi:10.1038/s41593-018-0317-8

Englitz, B., Akram, S., David, S., Chambers, C., Pressnitzer, D., Depireux, D., Fritz, J. & Shamma, S. (2013). Putting the tritone paradox into context: insights from neural population decoding and human psychophysics. Advances in experimental medicine and biology, 787, 157-64. doi:10.1007/978-1-4614-1590-9_18

Ewert, S., Paraouty, N. & Lorenzi, C. (2020). A two‐path model of auditory modulation detection using temporal fine structure and envelope cues. European Journal of Neuroscience, 51(5), 1265-1278. doi:10.1111/ejn.13846

Ewert, S., Paraouty, N. & Lorenzi, C. (2018). A two-path model of auditory modulation detection using temporal fine structure and envelope cues. European Journal of Neuroscience. doi:10.1111/ejn.13846

Findling, C. & Wyart, V. (2021). Computation noise in human learning and decision-making: origin, impact, function. Current Opinion in Behavioral Sciences, 38, 124-132. doi:10.1016/j.cobeha.2021.02.018

Findling, C., Skvortsova , V., Dromnelle, R. , Palminteri, S. & Wyart, V. (2019). Computational noise in reward-guided learning drives behavioral variability in volatile environments. Nature Neuroscience , 22, 2066–2077. doi:10.1101/439885

Francis, N., Elgueda, D., Englitz, B., Fritz, J. & Shamma, S. (2018). Laminar profile of task-related plasticity in ferret primary auditory cortex. Scientific reports, 8(1), 16375. doi:10.1038/s41598-018-34739-3

Geirnaert, S., Vandecappelle, S., Alickovic, E., de Cheveigné, A., Lalor, E., Meyer, B., Mirana, S., Francart, T. & Bertrand, A. (2021). Electroencephalography-Based Auditory Attention Decoding: Toward Neurosteered Hearing Devices. IEEE Signal Processing Magazine, 38 (4), 89-102. doi:10.1109/MSP.2021.3075932