Publications

Kang, H. , Agus, T. & Pressnitzer, D. (2017). Auditory memory for random time patterns. The Journal of the Acoustical Society of America, 142(4), 2219. doi:10.1121/1.5007730

Pressnitzer, D., Graves, J., Chambers, C., de Gardelle, V. & Egré, P. (2018). Auditory Perception: Laurel and Yanny Together at Last. Current Biology, 28(13), R739-R741. doi:10.1016/j.cub.2018.06.002

de Cheveigné, A., Slaney, M., Fuglsang , S. & Hjortkjaer, J. (2021). Auditory Stimulus-response Modeling with a Match-Mismatch Task. Journal of Neural Engineering, 18 (4), 046040. doi:10.1101/2020.11.05.370072

V Kuchibhotla, K. , Hindmarsh Sten, T., C. Papadoyannis, E. , Elnozahy, S. , Fogelson, K. , Chillale, R. , Boubenec, Y., C. Holland, P. , Ostojic, S. & C. Froemke, R. (2020). Author Correction: Dissociating task acquisition from expression during learning reveals latent knowledge. Nat Commun, 11(3176). doi:10.1038/s41467-020-17023-9

Zimmerer, V. , Hardy, C. , Eastman, J. , Dutta, S. , Varnet, L., Bond, R. , Russell, L. , D. Warren, J. & Varleya, R. (2020). Automated profiling of spontaneous speech in primary progressive aphasia and behavioral-variant frontotemporal dementia: An approach based on usage-frequency. Cortex, 133, 103-119. doi:10.1016/j.cortex.2020.08.027

King, J. , Charton, F. , Lopez-Paz, D. & Oquab, M. (2020). Back-to-back regression: Disentangling the influence of correlated factors from multivariate observations. NeuroImage, 220, 117028. doi:10.1016/j.neuroimage.2020.117028

Claire, S., Corazzol, M. , Labouret, G., Stockart, F. , Wexler, M., King, J. , Florent, M. & Pressnitzer, D. (2021). Bifurcation in brain dynamics reveals a signature of conscious processing independent of report. Nature Communications, 12, 1149. doi:10.1038/s41467-021-21393-z

Bourdillon, P. , Hermann, B. , Guénot, M. , Bastuji-Garin, S., Isnard, J., King, J. , Sitt, J. & Naccache, L. (2020). Brain-scale cortico-cortical functional connectivity in the delta-theta band is a robust signature of conscious states: an intracranial and scalp EEG study. Scientific Reports, 10, 14037. doi:10.1038/s41598-020-70447-7

Caucheteux, C. & King, J. (2022). Brains and algorithms partially converge in natural language processing. Nature Communications Biology , 5, 134. doi:10.1038/s42003-022-03036-1

Thoret, E., Varnet, L., Boubenec, Y., Ferriere, R., Le Tourneau , F., Krause, B. & Lorenzi, C. (2020). Characterizing amplitude and frequency modulation cues in natural soundscapes: A pilot study in four habitats of a biosphere reserve. Journal of the Acoustical Society of America, 147, 3260-3274. doi:10.1121/10.0001174

Tolu, S., Eddine, R., Marti, F., David, V., Graupner, M., Pons, S., Baudonnat, M., Husson, M., Besson, M., Reperant, C., Zemdegs, J., Pagès, C., Hay, Y., Lambolez, B., Caboche, J., Gutkin, B., Gardier, A., Changeux, J., Faure, P. & Maskos, U. (2013). Co-activation of VTA da and GABA neurons mediates nicotine reinforcement. Molecular Psychiatry, 18(3), 382-393. doi:10.1038/mp.2012.83

Wallaert, N., Moore, B. & Lorenzi, C. (2016). Comparing the effects of age on amplitude modulation and frequency modulation detection. The Journal of the Acoustical Society of America, 139(6), 3088. doi:10.1121/1.4953019

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

Chambers, C., Elgueda, D. , Fritz, J. , Shamma, S., Burkitt, A. & Grayden David, B. (2019). Computational Neural Modeling of Auditory Cortical Receptive Fields. Front. Comput. Neurosci. doi:10.3389/fncom.2019.00028

Osses , A. & Varnet, L. (2021). Consonant-in-noise discrimination using an auditory model with different speech- based decision devices. In DAGA, Vienna Austria.

Maier, J., Mcalpine, D., Klump, G. & Pressnitzer, D. (2010). Context effects in the discriminability of spatial cues. Journal of the Association for Research in Otolaryngology : JARO, 11(2), 319-28. doi:10.1007/s10162-009-0200-0

Tran-Van-Minh, A., Caze, R., Abrahamsson, T., Cathala, L., Gutkin, B. & Digregorio, D. (2015). Contribution of sublinear and supralinear dendritic integration to neuronal computations. Frontiers in cellular neuroscience, 9, 67. doi:10.3389/fncel.2015.00067

Varnet, L., Agnès C., L., Boucher, S. , Bonnet, C. , Petit, C. & Lorenzi, C. (2021). Contributions of Age-Related and Audibility-Related Deficits to Aided Consonant Identification in Presbycusis: A Causal-Inference Analysis. Front. Aging Neurosci., 13, 83. doi:10.3389/fnagi.2021.640522

Bravard, R., Demany, L. & Pressnitzer, D. (2023). Controlling audibility with noise for online experiments using sound. JASA express letters, 3(6), 064402. doi:10.1121/10.0019807

Dipoppa, M. & Gutkin, B. (2013). Correlations in background activity control persistent state stability and allow execution of working memory tasks. Frontiers in Computational Neuroscience, 7, 139. doi:10.3389/fncom.2013.00139

Wu, J., Gao, M., Shen, J., Shi, W., Oster, A. & Gutkin, B. (2013). Cortical control of VTA function and influence on nicotine reward. Biochemical Pharmacology, 86(8), 1173-1180. doi:10.1016/j.bcp.2013.07.013

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

Ruggles, D., Tausend, A., Shamma, S. & Oxenham, A. (2018). Cortical markers of auditory stream segregation revealed for streaming based on tonotopy but not pitch. The Journal of the Acoustical Society of America, 144(4), 2424. doi:10.1121/1.5065392

Défossez, A., Caucheteux, C. , Rapin, J. & King, J. (2023). Decoding speech perception from non-invasive brain recordings. Nature Machine Intelligence volume, 5, 1097–1107. doi:10.1038/s42256-023-00714-5

Albouy , P. , Caclin, A. , Norman-Haignere, S., Lévêque, Y. , Peretz, I. , Tillmann, B. & J Zatorre, R. (2019). Decoding Task-Related Functional Brain Imaging Data to Identify Developmental Disorders: The Case of Congenital Amusia. Front Neurosci ., 13, 1165. doi:10.3389/fnins.2019.01165

de Cheveigné, A., Wong, D., Di Liberto, G., Hjortkjær, J., Slaney, M. & Lalor, E. (2018). Decoding the auditory brain with canonical correlation analysis. NeuroImage, 172, 206-216. doi:10.1016/j.neuroimage.2018.01.033

Caucheteux, C. , Gramfort, A. & King, J. (2022). Deep language algorithms predict semantic comprehension from brain activity. , 1é(16327). doi:10.1038/s41598-022-20460-9

Attaheri, A. , Choisdealbha, Á. , Di Liberto, G., Rocha, S. , Brusini, P. , Mead, N. , Olawole-Scott, H. , Boutris, P., Gibbon, S. , Williams, I. , Grey, C. , Flanagan, S. & Goswami, U. (2022). Delta- and theta-band cortical tracking and phase-amplitude coupling to sung speech by infants. NeuroImage, 247, 118698. doi:10.1016/j.neuroimage.2021.118698

Boubenec, Y., Lawlor, J., Górska, U., Shamma, S. & Englitz, B. (2017). Detecting changes in dynamic and complex acoustic environments. eLife, 6. doi:10.7554/eLife.24910

Claassen, J. , Doyle, K. , Matory, A. , Couch, C. , Burger, K. , Velazquez, A. , Okonkwo, J. , King, J. , Park, S. , Agarwal, S. , Roh, D. , Megjhani, M. & (Et Al), . (2019). Detection of Brain Activation in Unresponsive Patients with Acute Brain Injury. N Engl J Med, 380, 2497-2505. doi:10.1056/NEJMoa1812757