Publications

Boubenec, Y., Lawlor, J., Shamma, S. & Englitz, B. (2016). Change Detection in Auditory Textures. Advances in experimental medicine and biology, 894, 229-239. doi:10.1007/978-3-319-25474-6_24

Agus, T., Suied, C., Thorpe, S. & Pressnitzer, D. (2010). Characteristics of human voice processing. , 2010

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

Kim, S., Paulus, M., Sodian, B. & Proust, J. (2020). Children’s Prior Experiences of their Successes and Failures Modulate Belief Alignment. European Journal of Developmental Psychology, 17(5). doi:10.1080/17405629.2020.1722634

Gutkin, B. & Stiefel, K. (2014). Cholinergic Neuromodulation of Phase Response Curves. In Schultheiss et al (eds) (Eds.), Phase Response Cruves in NeuroscienceSpringer

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

Bouvier, A. (2007). Collective Belief, Acceptance, and Commitment in Science . Iyyun, 56, 91

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

Koechlin, E. (2021). Computational models of adaptive behavior and prefrontal cortex. Neuropsychopharmacology, 47, 58–71. doi:10.1038/s41386-021-01123-1

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

Gutkin, B. & Ahmed, S. (2012). Computational Neuroscience of Drug Addiction.

Proust, J. (2018). Consensus as an epistemic norm for group acceptance. In J. A. Carter, A. Clark, J. Kallestrup, S.O. Palermos, and D. Pritchard (Eds.), Extended Epistemology Oxford : Oxford University Press.

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

Bouvier, A. (2002). Dans quelle mesure la théorie sociale de James Coleman est-elle trop parcimonieuse?

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

Caze, R., Humphries, M. & Gutkin, B. (2013). Dendrites enhance both single neuron and network computation. In Remme et al (eds) (Eds.), Dendritic ComputationSpringer

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